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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ophthalmol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Ophthalmology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ophthalmol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2674-0826</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fopht.2026.1786309</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Imaging and functional correlates of fibrosis in neovascular age-related macular degeneration: a systematic review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Spooner</surname><given-names>Kimberly L.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Fraser-Bell</surname><given-names>Samantha</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author">
<name><surname>Fu</surname><given-names>Dun Jack</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author">
<name><surname>Faes</surname><given-names>Livia</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<contrib contrib-type="author">
<name><surname>Romano</surname><given-names>Francesco</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2228878/overview"/>
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<contrib contrib-type="author">
<name><surname>Cozzi</surname><given-names>Mariano</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<contrib contrib-type="author">
<name><surname>Chang</surname><given-names>Andrew A.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Sivaprasad</surname><given-names>Sobha</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Save Sight Institute, The University of Sydney</institution>, <city>Sydney</city>, <state>NSW</state>,&#xa0;<country country="au">Australia</country></aff>
<aff id="aff2"><label>2</label><institution>The Graduate School of Health, The University of Technology</institution>, <city>Sydney</city>, <state>NSW</state>,&#xa0;<country country="au">Australia</country></aff>
<aff id="aff3"><label>3</label><institution>Sydney Eye Hospital</institution>, <city>Sydney</city>, <state>NSW</state>,&#xa0;<country country="au">Australia</country></aff>
<aff id="aff4"><label>4</label><institution>Royal North Shore Hospital</institution>, <city>St. Leonards</city>, <state>NSW</state>,&#xa0;<country country="au">Australia</country></aff>
<aff id="aff5"><label>5</label><institution>Institute of Ophthalmology, University College London</institution>, <city>London</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<aff id="aff6"><label>6</label><institution>National Institute for Health Research Biomedical Research Centre, Moorfields Eye Hospital National Health Service Foundation Trust</institution>, <city>London</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<aff id="aff7"><label>7</label><institution>Eye Clinic, Department of Biomedical and Clinical Sciences, Luigi Sacco Hospital, University of Milan</institution>, <city>Milan</city>,&#xa0;<country country="it">Italy</country></aff>
<aff id="aff8"><label>8</label><institution>Department of Ophthalmology, University Hospital Zurich, University of Zurich</institution>, <city>Zurich</city>,&#xa0;<country country="ch">Switzerland</country></aff>
<aff id="aff9"><label>9</label><institution>Sydney Retina Clinic</institution>, <city>Sydney</city>, <state>NSW</state>,&#xa0;<country country="au">Australia</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Samantha Fraser-Bell, <email xlink:href="mailto:Samantha.Fraser-bell@sydney.edu.au">Samantha.Fraser-bell@sydney.edu.au</email>; Sobha Sivaprasad, <email xlink:href="mailto:sobha.sivaprasad@nhs.net">sobha.sivaprasad@nhs.net</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-24">
<day>24</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>6</volume>
<elocation-id>1786309</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>01</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Spooner, Fraser-Bell, Fu, Faes, Romano, Cozzi, Chang and Sivaprasad.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Spooner, Fraser-Bell, Fu, Faes, Romano, Cozzi, Chang and Sivaprasad</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-24">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Despite intravitreal anti&#x2013;vascular endothelial growth factor (VEGF) therapy being the standard of care for neovascular age-related macular degeneration (nAMD), long-term visual decline remains common, with subretinal fibrosis representing a major cause of irreversible vision loss. Objective: To systematically evaluate how imaging-defined fibrosis in nAMD is defined and quantified, its incidence under anti-VEGF therapy, associated baseline associations, and its impact on visual outcomes.</p>
</sec>
<sec>
<title>Methods</title>
<p>We systematically searched MEDLINE, Embase, CENTRAL, and Scopus through September 2025 for studies reporting imaging-defined fibrosis in anti-VEGF&#x2013;treated nAMD. Eligible studies included randomized controlled trial secondary analyses, prospective and retrospective cohorts, and registries. Two reviewers independently extracted data on fibrosis definitions, imaging modalities, associations, and functional outcomes. Random-effects meta-analyses pooled the best-corrected visual acuity (BCVA) difference (ETDRS letters) and the odds ratio for incident fibrosis. Risk of bias was assessed using the Quality in Prognosis Studies (QUIPS) tool, and the certainty of evidence was evaluated using the GRADE approach.</p>
</sec>
<sec>
<title>Results</title>
<p>Fifty-eight studies were included (12 randomized trial secondary analyses, 18 prospective studies, and 28 retrospective studies). Across studies, subretinal fibrosis developed in approximately 10&#x2013;15% of eyes within 2 years and 40&#x2013;50% by 5 years of anti-VEGF therapy, with a lower incidence under fixed or treat-and-extend regimens compared with pro re nata dosing. Eyes with fibrosis had consistently worse visual outcomes (pooled BCVA difference &#x2212;29 ETDRS letters; 95% CI &#x2212;47 to &#x2212;12). Key associations included type 2 macular neovascularisation (OR 5.7), subretinal hyperreflective material (OR 2.7), intraretinal fluid (OR 3.6), and large haemorrhage (OR 2.3), while subretinal fluid appeared protective (OR 0.6). Definitions and quantification approaches varied widely across imaging modalities.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Fibrosis remains a frequent and vision-limiting sequela of treated nAMD, with substantial heterogeneity in imaging definitions and grading methods limiting cross-study comparability. Standardised OCT-anchored definitions, reproducible quantitative measures, and functional endpoints beyond BCVA are needed to advance anti-fibrotic therapeutic development and improve long-term visual outcomes.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p><ext-link ext-link-type="uri" xlink:href="https://www.crd.york.ac.uk/prospero/">https://www.crd.york.ac.uk/prospero/</ext-link>, identifier CRD420231132016.</p>
</sec>
</abstract>
<kwd-group>
<kwd>age-related macular degeneration</kwd>
<kwd>anti-VEGF therapy</kwd>
<kwd>imaging biomarkers</kwd>
<kwd>optical coherence tomography</kwd>
<kwd>subretinal fibrosis</kwd>
<kwd>visual function</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="87"/>
<page-count count="18"/>
<word-count count="9467"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Retina</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Histopathological studies have long shown that subretinal fibrosis in neovascular age-related macular degeneration (nAMD) represents an aberrant wound-healing response, characterized by infiltration of myofibroblasts, extracellular matrix deposition, and disruption of the retinal pigment epithelium (RPE) and photoreceptors (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). This biological process often culminates in the disorganization of the outer retina and irreversible loss of central vision. Over the past two decades, intravitreal anti-vascular endothelial growth factor (VEGF) therapy has transformed nAMD from a relentlessly blinding condition into one where long-term visual preservation is achievable for many patients (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). This therapeutic revolution has changed the natural history of the disease and significantly reduced rates of severe vision loss (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Despite these advances, many eyes ultimately lose vision not from uncontrolled exudation, but from the gradual development of subretinal and sub-RPE fibrosis (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Fibrotic scar formation represents the culmination of a maladaptive wound-healing response, resulting in structural disorganization, loss of photoreceptors, and irreversible decline in visual function (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Crucially, no current therapy effectively prevents or reverses this process, making fibrosis one of the most significant unmet needs in the long-term management of nAMD.</p>
<p>The reported incidence of fibrosis varies widely depending on baseline characteristics, treatment regimen, imaging modality, and follow-up duration. Data from pivotal trials and registries suggest that 10&#x2013;25% of eyes develop fibrosis within the first two years of therapy, rising to 40&#x2013;50% at five years and nearly 50% at ten years (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). These reports are mainly based on fibrosis diagnosed on colour fundus photographs (CFP). For example, fibrosis accounts for a significant portion of the late visual decline observed in the CATT and IVAN Cohorts, even among patients who initially experienced vision improvement under anti-VEGF treatment. These observations indicate that the process of fibrosis may occur earlier than visually perceived on CFP. On CFP, fibrosis corresponds to the development of well-demarcated fibrotic scars, distinguishable from nonfibrotic scars by their elevated, whitish appearance and associated loss of retinal detail, as described in the CATT study (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>However, earlier changes are evident on optical coherence tomography (OCT), where the transformation of subretinal hyperreflective material (SHRM) into dense, hyperreflective scar tissue is often accompanied by RPE disruption (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). On fundus autofluorescence (FAF), fibrotic lesions appear as areas of hypo- or hyper-autofluorescence and are usually challenging to decipher from other components of the neovascular complex (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). In contrast, fundus fluorescein angiography (FFA) describes late-staining fibrotic plaques (<xref ref-type="bibr" rid="B19">19</xref>). More advanced modalities, such as polarisation-sensitive (PS)-OCT, can detect birefringence signals specific to fibrotic tissue (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>), and OCT angiography may demonstrate flow voids over scarred areas, the significance of which remains poorly understood (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Multimodal imaging strategies provide greater diagnostic confidence but remain resource-intensive. The lack of a standardized, universally adopted definition impedes cross-study comparability and limits consistent tracking of fibrotic progression.</p>
<p>Quantification of fibrosis is similarly heterogeneous. Most studies rely on categorical grading (present/absent, fibrotic vs. nonfibrotic), while others use manual area measurements from fundus photographs or <italic>en face</italic> OCT images. (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>) Volumetric approaches have been explored using polarisation-sensitive OCT and experimental AI-based segmentation methods (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>), although these remain unvalidated in large-scale clinical trials and real-world settings.</p>
<p>Clinically, fibrosis is strongly associated with worse best-corrected visual acuity (BCVA) and is one of the most significant predictors of long-term functional decline in treated nAMD (<xref ref-type="bibr" rid="B8">8</xref>). Less is known about its relationship to other functional endpoints, such as contrast sensitivity, microperimetry, or patient-reported outcomes. However, emerging evidence suggests that fibrosis is associated with reduced retinal sensitivity and visual function, thereby impairing quality of life (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>However, fibrosis in nAMD is not defined uniformly across studies. Reported definitions range from colour fundus photograph&#x2013;defined scars to OCT-derived hyperreflective material, sub-RPE fibrovascular tissue, and birefringent collagen detected on polarization-sensitive OCT. These constructs are related but not interchangeable, complicating the synthesis and interpretation of the literature. This systematic review aimed to evaluate how imaging-derived fibrosis in nAMD is defined and quantified across imaging modalities, and to synthesize the evidence on associated outcomes within this heterogeneity. Specifically, we sought to characterize (i) definitions and quantification methods, (ii) the incidence and time course of fibrosis under anti-VEGF therapy, and (iii) its association with BCVA and other functional endpoints.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study design</title>
<p>This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines (<xref ref-type="bibr" rid="B26">26</xref>). This review was prospectively registered in the PROSPERO database (registration number CRD42023 1132016).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Eligibility criteria</title>
<p>We included studies of adults with nAMD treated with intravitreal anti-VEGF therapy, in which fibrosis was defined and/or its incidence assessed using recognized imaging modalities (OCT, FAF, FA/CFP, PS-OCT, or multimodal imaging). Studies employing OCT-angiography (OCT-A) were included when fibrosis was correlated with vascular network characteristics (e.g., macular neovascularisation (MNV) morphology, flow voids, or non-perfusion), rather than direct structural definition. Eligible comparators were eyes without fibrosis, or studies comparing different fibrosis subtypes (e.g., subretinal vs sub-RPE). Regarding functional endpoints, the primary outcome was BCVA, measured in the Early Treatment diabetic retinopathy study (ETDRS) letters or logMAR, at &#x2265;12 months. Secondary functional outcomes included contrast sensitivity (CS) (Pelli-Robson chart), low-luminance visual acuity (LLVA) (ETDRS chart under a 2.0 log neutral density filter), reading speed (MNRead chart), microperimetry, and patient-reported outcomes (PROs) (NEI-VFQ-25), where available. Eligible designs comprised prospective or retrospective cohort studies, registry-based analyses, and secondary analyses of randomized controlled trials (RCTs). We excluded non-human studies, case reports or small case series (&lt;10 eyes), reviews, editorials, conference abstracts, and studies lacking imaging-defined fibrosis or functional outcomes.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Search methods for identifying studies</title>
<p>We systematically searched MEDLINE (PubMed), Embase, Cochrane CENTRAL, and Scopus from January 2015 to September 2025. Search terms combined controlled vocabulary and free-text keywords related to age-related macular degeneration, fibrosis, scar, imaging, and functional outcomes. The full search strategies are provided in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Appendix 1</bold></xref>.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Study selection and data collection</title>
<p>Two reviewers independently screened all titles and abstracts, followed by a full-text review of potentially eligible studies. Discrepancies were resolved through discussion or by a third-party arbitrator. Duplicates across databases were removed using Covidence and confirmed by manual review before screening. Study selection is presented in a PRISMA flow diagram (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>PRISMA flow diagram depicting the study selection process for the systematic review. The diagram illustrates the number of records identified, screened, excluded, and included, with reasons for exclusion at each stage.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fopht-06-1786309-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating a systematic review selection process. Starting with 329 studies identified from four databases, 96 removed, 264 screened, 158 excluded, 106 sought for retrieval, none not retrieved, 106 assessed for eligibility, 48 excluded for specific reasons, and 58 included in the final review.</alt-text>
</graphic></fig>
<p>Data were extracted using a standardized form for study design, sample size, follow-up duration, anti-VEGF regimen, patient demographics, imaging modality, fibrosis definition and quantification method, and reported outcomes (BCVA mean &#xb1; SD, odds ratios [OR] or hazard ratios [HR], or regression coefficients for poor vision, and secondary outcomes). Two reviewers independently extracted data, and discrepancies were resolved by consensus.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Risk of bias assessment</title>
<p>The risk of bias was assessed using the Quality in Prognosis Studies (QUIPS) tool (<xref ref-type="bibr" rid="B27">27</xref>), evaluating six domains: study participation, study attrition, measurement of prognostic factors, measurement of outcomes, confounding, and statistical analysis.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Data synthesis and statistical analysis</title>
<p>Meta-analyses were conducted when studies reported comparable outcome constructs (e.g., fibrosis present versus absent), effect measures (odds ratios or hazard ratios), and variance estimates, even when imaging-based definitions of fibrosis differed. Given the absence of standardized definitions of fibrosis across imaging modalities, meta-analyses were undertaken as exploratory, hypothesis-generating syntheses. Pooling was intended to evaluate consistency in the direction of associations across heterogeneous definitions, rather than to estimate precise or interchangeable effect sizes. We anticipated substantial residual clinical heterogeneity due to differences in imaging definitions, grading thresholds, and follow-up duration, which could not be fully resolved statistically. Continuous outcomes, such as BCVA, were pooled as mean differences with 95% confidence intervals (CI) using inverse-variance weighting under a random-effects model (DerSimonian-Laird method). Dichotomous outcomes were expressed as pooled odds ratios or hazard ratios.</p>
<p>Between-study heterogeneity was quantified using the I&#xb2;, &#x3c4;&#xb2;, and Cochran&#x2019;s Q statistics. Publication bias was assessed using Egger&#x2019;s regression and Begg&#x2019;s rank correlation tests, and funnel plots were visually inspected.</p>
<p>Pre-specified subgroup analyses included MNV subtypes according to the CONAN recommendations (Types 1&#x2013;3 and polypoidal choroidal vasculopathy, PCV), treatment regimen (fixed, PRN, treat-and-extend), and study design (randomized controlled trial, RCT vs. real-world). Sensitivity analyses excluded high-risk-of-bias studies.</p>
<p>Narrative synthesis was used when quantitative pooling was inappropriate, grouping studies by imaging modality, fibrosis definition, and follow-up duration.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Certainty of evidence</title>
<p>The overall certainty of evidence was evaluated using the GRADE framework adapted for prognostic studies (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>), considering risks of bias, inconsistency, indirectness, imprecision, and publication bias. GRADE profiles were prepared to inform clinical interpretation of key biomarker-outcome associations.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Study selection and characteristics</title>
<p>A total of 58 studies met the inclusion criteria and were incorporated into the synthesis (PRISMA flow shown in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>). Reasons for exclusion are detailed in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S1</bold></xref>. These comprised 13 secondary analyses of randomized controlled trials (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>), 28 prospective cohort studies (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B52">52</xref>), and 17 retrospective cohorts (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B53">53</xref>&#x2013;<xref ref-type="bibr" rid="B71">71</xref>) Sample sizes varied widely, from as few as 15 eyes to more than 1,200, with the most extensive datasets derived from the landmark CATT and IVAN trials and Fight Retinal Blindness! (FRB) registries (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B72">72</xref>). The follow-up duration ranged from 12 months to 10 years, with a median of approximately 36 months across the studies. The included evidence spanned North America, Europe, the Asia-Pacific region, and several multicenter registries.</p>
<p>Study-level characteristics, including design, sample size, follow-up, imaging modality, definitions of fibrosis, and outcomes assessed, are summarised in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of included studies (n=58).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Study (Author, Year)</th>
<th valign="middle" align="center">Country / Setting</th>
<th valign="middle" align="center">Study design</th>
<th valign="middle" align="center">Sample size (eyes)</th>
<th valign="middle" align="center">Treatment regimen</th>
<th valign="middle" align="center">Imaging modality</th>
<th valign="middle" align="center">Fibrosis definition</th>
<th valign="middle" align="center">Follow-up (months)</th>
<th valign="middle" align="center">Outcome measure(s)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Angermann et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="middle" align="left">Austria (Innsbruck, Salzburg)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">648 eyes</td>
<td valign="middle" align="left">Aflibercept treat-and-extend</td>
<td valign="middle" align="left">OCT, CF</td>
<td valign="middle" align="left">Subfoveal fibrosis (end-stage, compact HRM)</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">BCVA (logMAR), fibrosis incidence (persistent vs nonpersistent)</td>
</tr>
<tr>
<td valign="middle" align="left">Barikian et&#xa0;al., 2015 (<xref ref-type="bibr" rid="B53">53</xref>)</td>
<td valign="middle" align="left">Lebanon, Qatar, UAE (Single-institution)</td>
<td valign="middle" align="left">Prospective randomized pilot study</td>
<td valign="middle" align="left">90 (30 per group)</td>
<td valign="middle" align="left">Bevacizumab q2w &#xd7;3 vs q4w &#xd7;3 vs immediate PRN</td>
<td valign="middle" align="left">OCT, FA</td>
<td valign="middle" align="left">Subretinal fibrosis (clinical/OCT based)</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">Fluid-free interval, BCVA, CRT, subretinal fibrosis</td>
</tr>
<tr>
<td valign="middle" align="left">Bilgic et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B54">54</xref>)</td>
<td valign="middle" align="left">Multicentre (India, France, Germany)</td>
<td valign="middle" align="left">Retrospective observational</td>
<td valign="middle" align="left">458 screened; 63 eyes complete resolution</td>
<td valign="middle" align="left">Ranibizumab / Aflibercept</td>
<td valign="middle" align="left">SD-OCT</td>
<td valign="middle" align="left">Fibrosis = collagenous tissue buildup in retina/subretinal/sub-RPE space (per Spaide consensus)</td>
<td valign="middle" align="left">&#x2265;24</td>
<td valign="middle" align="left">BCVA, CRT, exudation resolution, fibrosis absence/presence</td>
</tr>
<tr>
<td valign="middle" align="left">Cao et&#xa0;al., 2024 (<xref ref-type="bibr" rid="B37">37</xref>)</td>
<td valign="middle" align="left">China (Xi&#x2019;an)</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">16 fibrosis eyes, 33 non-fibrosis, 28 controls</td>
<td valign="middle" align="left">Prior anti-VEGF</td>
<td valign="middle" align="left">OCT, FA, ICGA, OCTA, aqueous cytokine assays</td>
<td valign="middle" align="left">Subretinal fibrosis (clinical + multimodal criteria)</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">Aqueous cytokines, BCVA (logMAR), SHRM thickness</td>
</tr>
<tr>
<td valign="middle" align="left">Casalino et&#xa0;al., 2018 (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="middle" align="left">UK (single tertiary referral centre)</td>
<td valign="middle" align="left">Retrospective observational study</td>
<td valign="middle" align="left">150</td>
<td valign="middle" align="left">Ranibizumab (PRN after loading) or aflibercept (fixed q8w for 1y)</td>
<td valign="middle" align="left">OCT, CF, NIR, FA, ICG</td>
<td valign="middle" align="left">Macular scar classified as fibrotic vs nonfibrotic (CATT criteria)</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">HRM morphology, fibrotic scar, MA, BCVA</td>
</tr>
<tr>
<td valign="middle" align="left">Chakravarthy et&#xa0;al., 2015 (IVAN trial) (<xref ref-type="bibr" rid="B19">19</xref>)</td>
<td valign="middle" align="left">UK, 23 NHS hospitals</td>
<td valign="middle" align="left">Multicentre RCT (factorial: drug &#xd7; regimen)</td>
<td valign="middle" align="left">610 (1 eye per pt)</td>
<td valign="middle" align="left">Ranibizumab 0.5 mg vs bevacizumab 1.25 mg; continuous monthly vs discontinuous PRN</td>
<td valign="middle" align="left">OCT, FA, CFP</td>
<td valign="middle" align="left">Fibrotic scar per trial reading centre (CATT/IVAN def.)</td>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">BCVA (ETDRS), lesion morphology, GA, PROs</td>
</tr>
<tr>
<td valign="middle" align="left">Chandak et&#xa0;al., 2025 (PRECISE 7) (<xref ref-type="bibr" rid="B38">38</xref>)</td>
<td valign="middle" align="left">UK multicentre</td>
<td valign="middle" align="left">Retrospective registry (loading dose cohort)</td>
<td valign="middle" align="left">1999 eyes</td>
<td valign="middle" align="left">Aflibercept 2 mg &#xd7; 3 (loading phase)</td>
<td valign="middle" align="left">SD-OCT</td>
<td valign="middle" align="left">Fibrosis recorded as OCT feature predictive of poor VA</td>
<td valign="middle" align="left">3 (loading)</td>
<td valign="middle" align="left">BCVA &#x2265;68 letters, &lt;54 letters, logistic regression</td>
</tr>
<tr>
<td valign="middle" align="left">Chandra et&#xa0;al., 2024 (PRECISE Report 2) (<xref ref-type="bibr" rid="B68">68</xref>)</td>
<td valign="middle" align="left">UK (10 centres)</td>
<td valign="middle" align="left">Predictive modelling (cross-sectional analysis)</td>
<td valign="middle" align="left">2039</td>
<td valign="middle" align="left">Aflibercept loading (3 monthly)</td>
<td valign="middle" align="left">OCT (Spectralis)</td>
<td valign="middle" align="left">Foveal fibrosis graded on OCT</td>
<td valign="middle" align="left">Baseline only (presenting VA study)</td>
<td valign="middle" align="left">Associations of OCT features incl. fibrosis with presenting VA</td>
</tr>
<tr>
<td valign="middle" align="left">Channa et&#xa0;al., 2015 (<xref ref-type="bibr" rid="B55">55</xref>)</td>
<td valign="middle" align="left">USA (Wilmer Eye Institute)</td>
<td valign="middle" align="left">Retrospective case series</td>
<td valign="middle" align="left">52 eyes</td>
<td valign="middle" align="left">Anti-VEGF (ranibizumab/aflibercept, PRN)</td>
<td valign="middle" align="left">SD-OCT, FA, CF</td>
<td valign="middle" align="left">Atrophy with/without subretinal fibrosis</td>
<td valign="middle" align="left">Mean 33.6 (range 12&#x2013;73)</td>
<td valign="middle" align="left">BCVA (ETDRS), rate of atrophy/fibrosis</td>
</tr>
<tr>
<td valign="middle" align="left">Charles et&#xa0;al., 2023 (<xref ref-type="bibr" rid="B40">40</xref>)</td>
<td valign="middle" align="left">France (Lille Catholic Univ.)</td>
<td valign="middle" align="left">Prospective observational</td>
<td valign="middle" align="left">48 eyes (30 reached 5y)</td>
<td valign="middle" align="left">Aflibercept 2 mg, treat-and-extend</td>
<td valign="middle" align="left">OCT, CF</td>
<td valign="middle" align="left">Subretinal fibrosis noted on OCT/fundus</td>
<td valign="middle" align="left">61.7 (mean)</td>
<td valign="middle" align="left">BCVA (ETDRS), injection no., fibrosis/atrophy</td>
</tr>
<tr>
<td valign="middle" align="left">Cheung et&#xa0;al., 2019 (<xref ref-type="bibr" rid="B41">41</xref>)</td>
<td valign="middle" align="left">Singapore (Asian cohort)</td>
<td valign="middle" align="left">Prospective observational</td>
<td valign="middle" align="left">93 eyes</td>
<td valign="middle" align="left">Anti-VEGF SOC</td>
<td valign="middle" align="left">OCT, FA, ICGA, CFP</td>
<td valign="middle" align="left">Fibrosis from SHRM (reading centre, multimodal)</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">BCVA (logMAR), fibrosis/atrophy incidence</td>
</tr>
<tr>
<td valign="middle" align="left">Daniel et&#xa0;al., 2018 (CATT 5-year) (<xref ref-type="bibr" rid="B72">72</xref>)</td>
<td valign="middle" align="left">USA multicentre</td>
<td valign="middle" align="left">Prospective cohort</td>
<td valign="middle" align="left">1061</td>
<td valign="middle" align="left">Ranibizumab/bevacizumab, per CATT</td>
<td valign="middle" align="left">CFP, FA, OCT</td>
<td valign="middle" align="left">Fibrotic scar by reading centre (CATT definition)</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">Scar incidence, area, VA, atrophy</td>
</tr>
<tr>
<td valign="middle" align="left">Daniel et&#xa0;al., 2019 (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="middle" align="left">USA (CATT multicentre trial)</td>
<td valign="middle" align="left">Prospective cohort within RCT</td>
<td valign="middle" align="left">39 with nonfibrotic scars at year 1 (subset of 1185 total)</td>
<td valign="middle" align="left">Ranibizumab or bevacizumab (monthly, PRN, or mixed)</td>
<td valign="middle" align="left">Colour fundus, FA, OCT</td>
<td valign="middle" align="left">Nonfibrotic scar (flat pigmented lesion without choroidal vessel exposure)</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">Progression to FS, atrophy, VA changes</td>
</tr>
<tr>
<td valign="middle" align="left">de la Fuente et&#xa0;al., 2024 (<xref ref-type="bibr" rid="B42">42</xref>)</td>
<td valign="middle" align="left">Spain (Navarra + multicentre)</td>
<td valign="middle" align="left">Retrospective ML analysis</td>
<td valign="middle" align="left">36 mo registry</td>
<td valign="middle" align="left">Anti-VEGF real-world</td>
<td valign="middle" align="left">OCT, genetics, clinical data</td>
<td valign="middle" align="left">Fibrosis presence as endpoint</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">Fibrosis/atrophy development (ML prediction)</td>
</tr>
<tr>
<td valign="middle" align="left">Dolz-Marco et&#xa0;al., 2017 (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="middle" align="left">USA (NY, UCLA)</td>
<td valign="middle" align="left">Retrospective case series</td>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">Anti-VEGF (&#x2265;3 monthly injections, treat-and-extend or OCT-guided)</td>
<td valign="middle" align="left">CF, FAF, NIR, FA, SD-OCT, OCTA</td>
<td valign="middle" align="left">Type 2 NV progression typically leads to subretinal fibrosis (contrast with regression to Type 1)</td>
<td valign="middle" align="left">&#x2265;3 (up to 12)</td>
<td valign="middle" align="left">Regression of Type 2 NV into Type 1, BCVA outcomes, fibrosis prevention</td>
</tr>
<tr>
<td valign="middle" align="left">Evans et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="middle" align="left">USA / UK (multicentre; CATT + IVAN pooled analysis)</td>
<td valign="middle" align="left">Post-hoc analysis of randomized controlled trials&#x2003;</td>
<td valign="middle" align="left">1,731 eyes&#x2003;</td>
<td valign="middle" align="left">Ranibizumab 0.5 mg or Bevacizumab 1.25 mg; monthly vs PRN dosing&#x2003;</td>
<td valign="middle" align="left">SD-OCT&#x2003;</td>
<td valign="middle" align="left">Subretinal fibrosis per CATT/IVAN photographic and OCT reading-centre criteria; evaluated in relation to variability in central retinal (foveal centre-point) thickness&#x2003;&#x2003;</td>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">BCVA (ETDRS letters), fibrosis and atrophy incidence, association between thickness variability and visual/anatomic outcomes</td>
</tr>
<tr>
<td valign="middle" align="left">Finn et&#xa0;al., 2021 (CATT) (<xref ref-type="bibr" rid="B56">56</xref>)</td>
<td valign="middle" align="left">USA (multicentre CATT trial)</td>
<td valign="middle" align="left">Cross-sectional imaging analysis within RCT</td>
<td valign="middle" align="left">68</td>
<td valign="middle" align="left">Anti-VEGF (ranibizumab/bevacizumab, CATT protocol)</td>
<td valign="middle" align="left">OCT, CF, FA</td>
<td valign="middle" align="left">Fibrotic scar pixels defined by OCT (subretinal hyperreflective material, PED, MNV, fluids)</td>
<td valign="middle" align="left">24 and 60</td>
<td valign="middle" align="left">Pixel-level associations of MA and FS, lesion evolution</td>
</tr>
<tr>
<td valign="middle" align="left">Gianniou et&#xa0;al., 2015 (<xref ref-type="bibr" rid="B57">57</xref>)</td>
<td valign="middle" align="left">Switzerland (Lausanne)</td>
<td valign="middle" align="left">Retrospective chart review</td>
<td valign="middle" align="left">76 eyes</td>
<td valign="middle" align="left">Ranibizumab monthly (&#x2265;12 mo)</td>
<td valign="middle" align="left">SD-OCT, FA, CF</td>
<td valign="middle" align="left">Fibrosis as end-stage of refractory fluid cases (esp. cystic)</td>
<td valign="middle" align="left">Mean 33.6 (12&#x2013;73)</td>
<td valign="middle" align="left">BCVA, injection number, fibrosis/atrophy risk</td>
</tr>
<tr>
<td valign="middle" align="left">Gillies et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="middle" align="left">Australia/NZ vs Switzerland</td>
<td valign="middle" align="left">Registry (Fight Retinal Blindness!)</td>
<td valign="middle" align="left">712 (474 ANZ, 321 Swiss)</td>
<td valign="middle" align="left">Anti-VEGF (treat-and-extend vs PRN)</td>
<td valign="middle" align="left">OCT, CF</td>
<td valign="middle" align="left">Subretinal fibrosis noted as cause of VA loss</td>
<td valign="middle" align="left">120</td>
<td valign="middle" align="left">BCVA (logMAR), fibrosis/atrophy, injection no.</td>
</tr>
<tr>
<td valign="middle" align="left">Gonzalez-Buendia et&#xa0;al., 2017 (<xref ref-type="bibr" rid="B43">43</xref>)</td>
<td valign="middle" align="left">Spain, 7 centres</td>
<td valign="middle" align="left">Observational case series</td>
<td valign="middle" align="left">347 eyes screened; subset with &#x2265;24 mo follow-up</td>
<td valign="middle" align="left">Ranibizumab PRN</td>
<td valign="middle" align="left">OCT, FA, FAF, colour fundus</td>
<td valign="middle" align="left">Presence of minimum area of fibrosis or atrophy (non-foveal)</td>
<td valign="middle" align="left">&#x2265;24</td>
<td valign="middle" align="left">BCVA (Snellen&#x2192;logMAR), OCT morphology, final funduscopic classification (fibrosis/atrophy/preserved)</td>
</tr>
<tr>
<td valign="middle" align="left">Gr&#xe4;fe et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B52">52</xref>)</td>
<td valign="middle" align="left">Netherlands (Amsterdam UMC)</td>
<td valign="middle" align="left">Imaging diagnostic validation</td>
<td valign="middle" align="left">29 eyes</td>
<td valign="middle" align="left">Previously treated nAMD (mixed)</td>
<td valign="middle" align="left">PS-OCT, FA, ICGA, CFP</td>
<td valign="middle" align="left">Subretinal fibrosis = birefringent collagen fibres (PS-OCT)</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">Diagnostic accuracy, fibrosis detection</td>
</tr>
<tr>
<td valign="middle" align="left">Hoffmann et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B17">17</xref>)</td>
<td valign="middle" align="left">Germany</td>
<td valign="middle" align="left">Cross-sectional, bilateral nAMD</td>
<td valign="middle" align="left">Not clearly stated; bilateral patients</td>
<td valign="middle" align="left">Anti-VEGF (various)</td>
<td valign="middle" align="left">OCT, FAF, SS-OCTA, microperimetry</td>
<td valign="middle" align="left">Subretinal fibrosis noted as morphologic correlate</td>
<td valign="middle" align="left">Variable, not longitudinal</td>
<td valign="middle" align="left">BCVA, contrast sensitivity (CS), LLVA, reading speed, NEI-VFQ25</td>
</tr>
<tr>
<td valign="middle" align="left">Ito et&#xa0;al., 2017 (<xref ref-type="bibr" rid="B70">70</xref>)</td>
<td valign="middle" align="left">Japan (Gunma Univ.)</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">61 eyes (tAMD)</td>
<td valign="middle" align="left">Aflibercept, treat-and-extend</td>
<td valign="middle" align="left">OCT, FA, ICGA</td>
<td valign="middle" align="left">Subfoveal fibrosis (OCT, fundus)</td>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">BCVA, CMT, injection no., fibrosis incidence</td>
</tr>
<tr>
<td valign="middle" align="left">Jackson et&#xa0;al., 2015 (INTREPID) (<xref ref-type="bibr" rid="B58">58</xref>)</td>
<td valign="middle" align="left">Multicentre (Europe, 21 sites)</td>
<td valign="middle" align="left">RCT (SRT vs sham + ranibizumab PRN)</td>
<td valign="middle" align="left">230</td>
<td valign="middle" align="left">Ranibizumab PRN &#xb1; stereotactic radiotherapy</td>
<td valign="middle" align="left">OCT, FA, CF</td>
<td valign="middle" align="left">Absence/presence of fibrosis as predictor of SRT efficacy</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">Injections needed, BCVA, CST</td>
</tr>
<tr>
<td valign="middle" align="left">Jaffe et&#xa0;al., 2019 (CATT 5-year) (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="middle" align="left">USA, multicentre</td>
<td valign="middle" align="left">Secondary analysis of RCT (CATT)</td>
<td valign="middle" align="left">~650 eyes (5-year completers)</td>
<td valign="middle" align="left">Anti-VEGF (ranibizumab/bevacizumab, PRN vs monthly)</td>
<td valign="middle" align="left">OCT, FA, colour photos</td>
<td valign="middle" align="left">Fibrosis reported from treating ophthalmologist + colour photos</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">BCVA (ETDRS letters), lesion size, anatomic features</td>
</tr>
<tr>
<td valign="middle" align="left">Janse van Rensburg et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B69">69</xref>)</td>
<td valign="middle" align="left">Canada (McGill Univ.)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">144 eyes</td>
<td valign="middle" align="left">Anti-VEGF treated nAMD</td>
<td valign="middle" align="left">OCT, FA</td>
<td valign="middle" align="left">Fibrosis underlying ORT (OCT evidence)</td>
<td valign="middle" align="left">5&#x2013;48 (&#x2265;5m)</td>
<td valign="middle" align="left">ORT development, fibrosis presence</td>
</tr>
<tr>
<td valign="middle" align="left">Kim et&#xa0;al., 2018 (<xref ref-type="bibr" rid="B75">75</xref>)</td>
<td valign="middle" align="left">South Korea (Kim&#x2019;s Eye Hosp.)</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">293 PCV eyes</td>
<td valign="middle" align="left">Ranibizumab or aflibercept PRN</td>
<td valign="middle" align="left">OCT, FA, ICGA</td>
<td valign="middle" align="left">Fibrotic scar at 12m</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">BCVA, fibrosis incidence</td>
</tr>
<tr>
<td valign="middle" align="left">Kim et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B45">45</xref>)</td>
<td valign="middle" align="left">South Korea (Kim&#x2019;s Eye Hosp.)</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">195 type 3 MNV eyes</td>
<td valign="middle" align="left">Anti-VEGF (varied regimens)</td>
<td valign="middle" align="left">OCT, FA, ICGA</td>
<td valign="middle" align="left">Fovea-involving fibrotic scar vs GA</td>
<td valign="middle" align="left">47.5 (mean)</td>
<td valign="middle" align="left">BCVA, GA vs scar vs none</td>
</tr>
<tr>
<td valign="middle" align="left">Kim et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B44">44</xref>)</td>
<td valign="middle" align="left">South Korea (Yeungnam Univ.)</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">68 eyes (m-PED with prechoroidal cleft)</td>
<td valign="middle" align="left">Anti-VEGF SOC</td>
<td valign="middle" align="left">OCT, FA, ICGA</td>
<td valign="middle" align="left">Fibrotic scar from hyperreflective band (layer 2)</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">BCVA, fibrosis incidence, PED changes</td>
</tr>
<tr>
<td valign="middle" align="left">Le et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B71">71</xref>)</td>
<td valign="middle" align="left">France (Cr&#xe9;teil, multicentre)</td>
<td valign="middle" align="left">Retrospective case series</td>
<td valign="middle" align="left">29</td>
<td valign="middle" align="left">Anti-VEGF (na&#xef;ve)</td>
<td valign="middle" align="left">SD-OCT</td>
<td valign="middle" align="left">Progression type 2 MNV &#x2192; fibrovascular PED (fibrosis surrogate)</td>
<td valign="middle" align="left">44 (mean 3.7y)</td>
<td valign="middle" align="left">BCVA, anatomical change</td>
</tr>
<tr>
<td valign="middle" align="left">Lenhof et&#xa0;al., 2025 (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="middle" align="left">France (6 centres)</td>
<td valign="middle" align="left">Multicentre retrospective</td>
<td valign="middle" align="left">420</td>
<td valign="middle" align="left">Anti-VEGF (na&#xef;ve, PRN/TAE)</td>
<td valign="middle" align="left">SD-OCT, FA</td>
<td valign="middle" align="left">Subretinal fibrosis (standardized def.)</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">Cumulative incidence, BCVA</td>
</tr>
<tr>
<td valign="middle" align="left">Lindenberg et&#xa0;al., 2025 (<xref ref-type="bibr" rid="B46">46</xref>)</td>
<td valign="middle" align="left">Canada</td>
<td valign="middle" align="left">Post-hoc analysis of SEVEN-UP trial</td>
<td valign="middle" align="left">Small sample (exact not clear)</td>
<td valign="middle" align="left">Long-term anti-VEGF</td>
<td valign="middle" align="left">OCT, colour fundus</td>
<td valign="middle" align="left">Fibrosis vs atrophy defined by SHRM thickness/reflectivity on OCT and colour photos</td>
<td valign="middle" align="left">~84+</td>
<td valign="middle" align="left">SHRM thickness, reflectivity, fibrosis/atrophy classification</td>
</tr>
<tr>
<td valign="middle" align="left">Liu et&#xa0;al., 2024 (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">64 eyes, 64 patients</td>
<td valign="middle" align="left">Anti-VEGF (various, median 4 inj/yr)</td>
<td valign="middle" align="left">OCT, OCTA, FA, multimodal</td>
<td valign="middle" align="left">SF defined as dense SHRM on OCT with RPE/EZ/ELM loss; confirmed by FA staining</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">BCVA (logMAR), OCTA vessel parameters, fibrosis risk</td>
</tr>
<tr>
<td valign="middle" align="left">Llorente-Gonz&#xe1;lez et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="middle" align="left">Spain (17 centres)</td>
<td valign="middle" align="left">Ambispective multicentre</td>
<td valign="middle" align="left">359</td>
<td valign="middle" align="left">Anti-VEGF per Spanish guidelines</td>
<td valign="middle" align="left">OCT, FA</td>
<td valign="middle" align="left">Fibrosis (clinical/OCT)</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">BCVA, fibrosis/atrophy incidence, associated with fluid</td>
</tr>
<tr>
<td valign="middle" align="left">Maruyama-Inoue et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B47">47</xref>)</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">Not clear (nAMD cohort)</td>
<td valign="middle" align="left">Anti-VEGF</td>
<td valign="middle" align="left">OCT, FA</td>
<td valign="middle" align="left">Subretinal fibrosis (CF/OCT definition)</td>
<td valign="middle" align="left">Variable</td>
<td valign="middle" align="left">BCVA</td>
</tr>
<tr>
<td valign="middle" align="left">Miere et&#xa0;al., 2015 (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="left">France (Cr&#xe9;teil)</td>
<td valign="middle" align="left">Prospective, single-centre</td>
<td valign="middle" align="left">49 eyes, 47 patients</td>
<td valign="middle" align="left">Anti-VEGF (mean 13 inj; some na&#xef;ve)</td>
<td valign="middle" align="left">OCT, FA, OCTA, fundus</td>
<td valign="middle" align="left">FA: staining with minimal leakage; OCT: &gt;50% compact hyperreflective sub-RPE lesion &#x2265;100 &#xb5;m thick</td>
<td valign="middle" align="left">Mean ~44 months disease duration</td>
<td valign="middle" align="left">BCVA (ETDRS logMAR), OCTA vascular patterns</td>
</tr>
<tr>
<td valign="middle" align="left">Motschi et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B61">61</xref>)</td>
<td valign="middle" align="left">Austria</td>
<td valign="middle" align="left">Prospective diagnostic imaging</td>
<td valign="middle" align="left">57 eyes</td>
<td valign="middle" align="left">Anti-VEGF (ongoing)</td>
<td valign="middle" align="left">PS-OCT, CFP</td>
<td valign="middle" align="left">Birefringence-based automated segmentation (optic axis uniformity, birefringence signal)</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">Fibrotic lesion area quantification, agreement with CFP</td>
</tr>
<tr>
<td valign="middle" align="left">Ohayon et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B62">62</xref>)</td>
<td valign="middle" align="left">France (Cr&#xe9;teil)</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">30 eyes</td>
<td valign="middle" align="left">Single anti-VEGF injection</td>
<td valign="middle" align="left">OCT, FA, ICGA</td>
<td valign="middle" align="left">Multilayered fibrovascular PED: hyperreflective band (layer 2) considered fibrotic</td>
<td valign="middle" align="left">1 month</td>
<td valign="middle" align="left">OCT layer thickness, BCVA (ETDRS)</td>
</tr>
<tr>
<td valign="middle" align="left">Okeagu et&#xa0;al., 2021 (AREDS2) (<xref ref-type="bibr" rid="B48">48</xref>)</td>
<td valign="middle" align="left">USA (AREDS2 sites)</td>
<td valign="middle" align="left">Prospective cohort</td>
<td valign="middle" align="left">594 eyes with incident nAMD</td>
<td valign="middle" align="left">Anti-VEGF (clinical practice, self-reported)</td>
<td valign="middle" align="left">Colour fundus photography (central grading)</td>
<td valign="middle" align="left">Subretinal fibrosis on CFP as principal cause of poor vision</td>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">BCVA (ETDRS)</td>
</tr>
<tr>
<td valign="middle" align="left">Papavasileiou et&#xa0;al., 2015 (<xref ref-type="bibr" rid="B63">63</xref>)</td>
<td valign="middle" align="left">UK (multi-centre chart review)</td>
<td valign="middle" align="left">Retrospective, non-comparative</td>
<td valign="middle" align="left">26 eyes</td>
<td valign="middle" align="left">Aflibercept fixed (q8w after 3 loading)</td>
<td valign="middle" align="left">SD-OCT, FA</td>
<td valign="middle" align="left">Presence of subretinal fibrosis noted on OCT and fundus</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">BCVA (logMAR), CRT</td>
</tr>
<tr>
<td valign="middle" align="left">Querques et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B18">18</xref>)</td>
<td valign="middle" align="left">Italy (Milan, Rome)</td>
<td valign="middle" align="left">Prospective, cross-sectional</td>
<td valign="middle" align="left">41 eyes (remission)</td>
<td valign="middle" align="left">Previously treated anti-VEGF, &#x2265;6 mo off</td>
<td valign="middle" align="left">Multimodal: MC imaging, OCT, FAF, OCTA, microperimetry</td>
<td valign="middle" align="left">Fibrocellular vs fibrovascular phenotype based on MC imaging</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">BCVA (logMAR), microperimetry</td>
</tr>
<tr>
<td valign="middle" align="left">Ramtohul et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="middle" align="left">Multinational (France, Italy, USA)</td>
<td valign="middle" align="left">Retrospective, longitudinal</td>
<td valign="middle" align="left">30 eyes</td>
<td valign="middle" align="left">Anti-VEGF (ranibizumab, aflibercept, bevacizumab); treat-extend / PRN</td>
<td valign="middle" align="left">OCT, OCTA, FA, FAF, CF</td>
<td valign="middle" align="left">Subretinal fibrosis (CATT definition: yellow lesion on CF + hyperreflective scar OCT)</td>
<td valign="middle" align="left">Mean ~50 (up to 123)</td>
<td valign="middle" align="left">BCVA (logMAR), fibrosis incidence, Cox regression</td>
</tr>
<tr>
<td valign="middle" align="left">Roberts et&#xa0;al., 2016 (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="middle" align="left">Austria (Vienna)</td>
<td valign="middle" align="left">Case series, imaging validation</td>
<td valign="middle" align="left">15 eyes</td>
<td valign="middle" align="left">Previously treated nAMD, advanced stage</td>
<td valign="middle" align="left">PS-OCT, SD-OCT, FA, CF</td>
<td valign="middle" align="left">Subretinal fibrosis identified by PS-OCT birefringence vs conventional imaging</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">BCVA, PS-OCT segmentation</td>
</tr>
<tr>
<td valign="middle" align="left">Roberts et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="middle" align="left">Austria (Vienna)</td>
<td valign="middle" align="left">Prospective, cross-sectional</td>
<td valign="middle" align="left">60 eyes</td>
<td valign="middle" align="left">&#x2265;12 mo anti-VEGF (mixed)</td>
<td valign="middle" align="left">PS-OCT, SS-OCTA, SD-OCT, CF</td>
<td valign="middle" align="left">SF defined by CF + OCT, confirmed by PS-OCT</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">BCVA (ETDRS), OCTA vessel metrics</td>
</tr>
<tr>
<td valign="middle" align="left">Roberts et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="middle" align="left">Austria (Vienna)</td>
<td valign="middle" align="left">Prospective, longitudinal</td>
<td valign="middle" align="left">45 eyes (treatment-na&#xef;ve)</td>
<td valign="middle" align="left">Aflibercept treat-and-extend</td>
<td valign="middle" align="left">SD-OCT, CF, FA, PS-OCT, OCTA</td>
<td valign="middle" align="left">SF defined by CF (yellow scar), FA (early hypo/late stain), PS-OCT birefringence</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">BCVA (ETDRS), OCTA vessel metrics, SF incidence</td>
</tr>
<tr>
<td valign="middle" align="left">Roberts et&#xa0;al., 2019 (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="middle" align="left">Austria (Medical Univ. Vienna)</td>
<td valign="middle" align="left">Prospective observational</td>
<td valign="middle" align="left">50</td>
<td valign="middle" align="left">Anti-VEGF (3 loading injections)</td>
<td valign="middle" align="left">PS-OCT, SD-OCT, FA</td>
<td valign="middle" align="left">Subretinal fibrosis detected by birefringence on PS-OCT</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">SHRM volume, fibrosis detection, BCVA</td>
</tr>
<tr>
<td valign="middle" align="left">Romano et&#xa0;al., 2023 (<xref ref-type="bibr" rid="B8">8</xref>)</td>
<td valign="middle" align="left">Italy, Singapore</td>
<td valign="middle" align="left">Retrospective, multicentre</td>
<td valign="middle" align="left">225 eyes, 10-year follow-up</td>
<td valign="middle" align="left">Anti-VEGF (PRN, varied)</td>
<td valign="middle" align="left">OCT, FA, CF, OCTA</td>
<td valign="middle" align="left">Fibrosis graded as sub-RPE, subretinal, mixed</td>
<td valign="middle" align="left">120</td>
<td valign="middle" align="left">BCVA (ETDRS), fibrosis incidence, risk factors</td>
</tr>
<tr>
<td valign="middle" align="left">Romano et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B73">73</xref>)</td>
<td valign="middle" align="left">Italy (Milan)</td>
<td valign="middle" align="left">Cross-sectional, single-centre</td>
<td valign="middle" align="left">48</td>
<td valign="middle" align="left">Anti-VEGF treated eyes with RPE tears</td>
<td valign="middle" align="left">Multimodal (OCT, FAF, NIR-AF, microperimetry)</td>
<td valign="middle" align="left">Fibrosis as repair tissue after RPE tear</td>
<td valign="middle" align="left">&#x2265;12</td>
<td valign="middle" align="left">BCVA, retinal sensitivity (MP), RPE resurfacing, AF recovery</td>
</tr>
<tr>
<td valign="middle" align="left">Schranz et&#xa0;al., 2024 (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="middle" align="left">Austria (Vienna)</td>
<td valign="middle" align="left">Cross-sectional observational</td>
<td valign="middle" align="left">30</td>
<td valign="middle" align="left">&#x2265;1-year anti-VEGF</td>
<td valign="middle" align="left">CFP, SD-OCT, PS-OCT, MP</td>
<td valign="middle" align="left">Retinal fibrosis defined by CFP/OCT/PS-OCT</td>
<td valign="middle" align="left">&#x2265;12</td>
<td valign="middle" align="left">Retinal sensitivity (MP), multimodal imaging correlation</td>
</tr>
<tr>
<td valign="middle" align="left">Souied et&#xa0;al., 2020 (<xref ref-type="bibr" rid="B9">9</xref>)</td>
<td valign="middle" align="left">France (Cr&#xe9;teil)</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">91 (44 cross-sectional, 47 longitudinal)</td>
<td valign="middle" align="left">Long-term anti-VEGF (as needed)</td>
<td valign="middle" align="left">SD-OCT, FA, CFP</td>
<td valign="middle" align="left">Fibrotic lesions (&gt;50% compact hyperreflective material)</td>
<td valign="middle" align="left">Up to &gt;60 (5+ years)</td>
<td valign="middle" align="left">Lesion classification, fibrosis progression pathways</td>
</tr>
<tr>
<td valign="middle" align="left">Tan et&#xa0;al., 2024 (<xref ref-type="bibr" rid="B64">64</xref>)</td>
<td valign="middle" align="left">Singapore</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">87 AMD patients (140 eyes), 66 controls</td>
<td valign="middle" align="left">Not treatment-specific</td>
<td valign="middle" align="left">Multimodal: OCT, OCTA, IR, CFP, microperimetry</td>
<td valign="middle" align="left">End-stage fibrosis defined on OCT/CFP</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">Microperimetry retinal sensitivity (dB), fixation stability</td>
</tr>
<tr>
<td valign="middle" align="left">Teo et&#xa0;al., 2020 (FRB!) (<xref ref-type="bibr" rid="B49">49</xref>)</td>
<td valign="middle" align="left">Multinational registry (AU, NZ, SG, CH)</td>
<td valign="middle" align="left">Longitudinal registry</td>
<td valign="middle" align="left">2,914 eyes</td>
<td valign="middle" align="left">Anti-VEGF</td>
<td valign="middle" align="left">CFP, OCT, FA</td>
<td valign="middle" align="left">Physician-graded subretinal fibrosis (white/yellow mound, staining on FA)</td>
<td valign="middle" align="left">Up to 120 (10 yrs)</td>
<td valign="middle" align="left">BCVA (letters), fibrosis incidence/prevalence</td>
</tr>
<tr>
<td valign="middle" align="left">Teo et&#xa0;al., 2024 (<xref ref-type="bibr" rid="B50">50</xref>)</td>
<td valign="middle" align="left">Singapore</td>
<td valign="middle" align="left">Case-control (Phenotyping Asian Macular Diseases)</td>
<td valign="middle" align="left">356 eyes</td>
<td valign="middle" align="left">Anti-VEGF</td>
<td valign="middle" align="left">OCT, CFP, FA</td>
<td valign="middle" align="left">Subfoveal fibrosis: hyperreflective material (OCT) + fundus pallor/FA staining</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">BCVA (letters)</td>
</tr>
<tr>
<td valign="middle" align="left">Toth et&#xa0;al., 2019 (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="middle" align="left">USA (CATT trial centres)</td>
<td valign="middle" align="left">Cross-sectional analysis within RCT</td>
<td valign="middle" align="left">68 (subset of 1185)</td>
<td valign="middle" align="left">Ranibizumab/bevacizumab (CATT protocol)</td>
<td valign="middle" align="left">SD-OCT, CFP, FA</td>
<td valign="middle" align="left">Fibrotic scar (CATT Reading Centre)</td>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">OCT lesion features, subretinal thickness, VA</td>
</tr>
<tr>
<td valign="middle" align="left">Willoughby et&#xa0;al., 2015 (<xref ref-type="bibr" rid="B16">16</xref>)</td>
<td valign="middle" align="left">USA (CATT multicentre)</td>
<td valign="middle" align="left">Prospective cohort (within RCT)</td>
<td valign="middle" align="left">1185</td>
<td valign="middle" align="left">Ranibizumab/bevacizumab, monthly or PRN</td>
<td valign="middle" align="left">TD-OCT, SD-OCT, CFP, FA</td>
<td valign="middle" align="left">SHRM persistence linked to fibrosis</td>
<td valign="middle" align="left">24</td>
<td valign="middle" align="left">SHRM location/dimensions, VA, fibrosis/GA</td>
</tr>
<tr>
<td valign="middle" align="left">Wu et&#xa0;al., 2022 (<xref ref-type="bibr" rid="B65">65</xref>)</td>
<td valign="middle" align="left">China (Shanghai)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">Aflibercept or ranibizumab (&#x2265;3 monthly)</td>
<td valign="middle" align="left">OCTA, OCT</td>
<td valign="middle" align="left">Subretinal fibrosis complicating NVAMD</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">CNV remodelling, fibrosis progression, BCVA</td>
</tr>
<tr>
<td valign="middle" align="left">Yu et&#xa0;al., 2023 (AVENUE post-hoc) (<xref ref-type="bibr" rid="B51">51</xref>)</td>
<td valign="middle" align="left">USA, multicentre (RCT reanalysis)</td>
<td valign="middle" align="left">Post-hoc of AVENUE trial</td>
<td valign="middle" align="left">207 eyes</td>
<td valign="middle" align="left">Faricimab / ranibizumab</td>
<td valign="middle" align="left">OCT</td>
<td valign="middle" align="left">SHRM with boundary remodelling vs persistent HRM (fibrosis-related phenotype)</td>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">BCVA (letters), atrophy development</td>
</tr>
<tr>
<td valign="middle" align="left">Zhao et&#xa0;al., 2021 (<xref ref-type="bibr" rid="B66">66</xref>)</td>
<td valign="middle" align="left">China (Beijing, PUMCH)</td>
<td valign="middle" align="left">Retrospective</td>
<td valign="middle" align="left">244 patients (nAMD 155 eyes, PCV 89 eyes)</td>
<td valign="middle" align="left">Anti-VEGF (varied; delays due to COVID-19)</td>
<td valign="middle" align="left">OCT, OCTA, FA, ICGA</td>
<td valign="middle" align="left">Sub-macular scar/fibrosis formation</td>
<td valign="middle" align="left">~8</td>
<td valign="middle" align="left">BCVA, fibrosis incidence, impact of delayed therapy</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Summary of study design, sample size, treatment regimens, imaging modalities, fibrosis definitions, follow-up duration, and outcome measures across included studies.</p></fn>
<fn>
<p>AF, Autofluorescence; AMD, Age-related macular degeneration; ANZ, Australia and New Zealand; BCVA, Best-corrected visual acuity; BR, Boundary remodelling; CATT, Comparison of Age-related Macular Degeneration Treatments Trials; CF, Colour fundus; CFP, Colour fundus photography; CH, Switzerland; CNV, Choroidal neovascularization; MNV, Macular neovascularization; CMT, Central macular thickness; CST, Central subfield thickness; CRT, Central retinal thickness; CS, Contrast sensitivity; dB, Decibels (microperimetry sensitivity); ELM, External limiting membrane; ETDRS, Early Treatment Diabetic Retinopathy Study; FA, Fluorescein angiography; FAF, Fundus autofluorescence; FRB!, Fight Retinal Blindness! registry; FS, Fibrotic scar; GA, Geographic atrophy; HRF, Hyperreflective foci; HRM, Hyperreflective material; ICGA, Indocyanine green angiography; ICG, Indocyanine green; inj, Injections; IR, Infrared reflectance; IRF, Intraretinal fluid; SRF, Subretinal fluid; IVAN, Inhibition of VEGF in Age-related choroidal Neovascularisation trial; LLVA, Low luminance visual acuity; logMAR, Logarithm of the minimum angle of resolution; MA, Macular atrophy; MC imaging, Multicolour imaging; ML, Machine learning; MP, Microperimetry; N/A, Not applicable; NIR, Near-infrared reflectance; NIR-AF, Near-infrared autofluorescence; NV, Neovascular; NVAMD, Neovascular age-related macular degeneration; OCT, Optical coherence tomography; SD-OCT, Spectral-domain OCT; SS-OCTA, Swept-source OCT angiography; OCTA, OCT angiography; ORT, Outer retinal tubulation; PCV, Polypoidal choroidal vasculopathy; PED, Pigment epithelial detachment; PRN, Pro re nata (as needed); PROs, Patient-reported outcomes; PS-OCT, Polarization-sensitive OCT; q2w, Every 2 weeks; q4w, Every 4 weeks; q8w, Every 8 weeks; RCT, Randomized controlled trial; RPE, Retinal pigment epithelium; SD, Standard deviation; SF, Subretinal fibrosis; SRFi, Subretinal fibrosis eyes; SHRM, Subretinal hyperreflective material; SRT, Stereotactic radiotherapy; TAE, Treat-and-extend; tAMD, Typical AMD; TD-OCT, Time-domain OCT; UK, United Kingdom; USA, United States of America; VA, Visual acuity.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Imaging modalities and fibrosis definitions</title>
<p>Definitions of fibrosis varied widely across studies, encompassing OCT-based dense subretinal hyperreflective material (SHRM), CFP-defined fibrotic scar, PS-OCT birefringence, and multimodal criteria (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Tables S2</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S3</bold></xref>). OCT was most frequently employed (n = 25), typically defining fibrosis as the transition of SHRM that evolves into a dense, homogeneous, hyperreflective scar, often accompanied by RPE disruption or elevation (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B59">59</xref>).</p>
<p>In contrast, CFP-based studies (n = 18) defined fibrosis according to the CATT and IVAN trial criteria, namely, well-demarcated white or yellow subretinal plaques showing late hyperfluorescent staining and corresponding loss of retinal detail on FA, thereby distinguishing fibrotic scars from nonfibrotic scars of atrophy (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B72">72</xref>). FAF (n=4).</p>
<p>FAF studies (n=4) described regions of hypo- or hyperautofluorescence aligning with fibrotic tissue (<xref ref-type="bibr" rid="B43">43</xref>, <xref ref-type="bibr" rid="B73">73</xref>). Polarisation-sensitive OCT (n=5) uniquely detected birefringent collagen, enabling automated volumetric quantification of fibrotic tissue (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B74">74</xref>).</p>
<p>A few OCT-A studies (n=3) evaluated flow characteristics within or adjacent to fibrotic plaques, such as signal voids, vascular pruning, or network rarefaction, rather than directly defining fibrosis.</p>
<p>Approximately 10 studies employed multimodal imaging, combining OCT, FA, FAF, and CFP, to improve the identification and longitudinal tracking of fibrotic changes. Representative examples of these multimodal features are illustrated in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>, demonstrating the characteristic appearance of fibrosis across imaging modalities. Interestingly, Le et&#xa0;al. reported that type 2 MNV can evolve into a fibrovascular pigment epithelial detachment within the first 3 months of anti-VEGF therapy, representing a distinct morphological pathway toward sub-RPE fibrosis that may nevertheless preserve good visual acuity (<xref ref-type="bibr" rid="B71">71</xref>). These imaging-derived definitions represent related but distinct phenotypes along a fibrotic spectrum and should not be considered interchangeable. Studies assessing inter-rater reliability and reproducibility of fibrosis grading across imaging modalities are summarized in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S4</bold></xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Multimodal imaging findings in fibrosis secondary to neovascular AMD, categorized according to the anatomical location of fibrotic tissue. The first row <bold>(A1&#x2013;E1)</bold> presents pure subretinal fibrosis, the second row <bold>(A2&#x2013;E2)</bold> a mixed type, and the third row <bold>(A3&#x2013;E3)</bold> sub-RPE fibrosis. Color fundus photography <bold>(A1&#x2013;A3)</bold> with corresponding magnified views <bold>(B1&#x2013;B3)</bold> provides clinical visualization of the fibrotic areas. Fundus autofluorescence (FAF) imaging <bold>(C1&#x2013;C3)</bold> demonstrates distinct patterns. In pure subretinal fibrosis <bold>(C1)</bold>, a sharply demarcated hypoautofluorescent area corresponds to complete RPE loss. In the mixed type <bold>(C2)</bold>, a smaller hypoautofluorescent area is surrounded by mottled FAF signal, indicating partial RPE preservation. In sub-RPE fibrosis <bold>(C3)</bold>, the FAF signal is relatively preserved without a sharply demarcated hypoautofluorescent defect. Near-infrared reflectance (NIR) imaging <bold>(D1&#x2013;D3)</bold> demonstrates corresponding reflectance alterations overlying the fibrotic lesions (yellow arrows). Optical coherence tomography (OCT) B-scans <bold>(E1&#x2013;E3)</bold> demonstrate three distinct structural patterns. In pure subretinal fibrosis <bold>(E1)</bold>, fibrotic tissue (black asterisk) lies entirely beneath the neurosensory retina, with complete loss of the RPE and photoreceptor layers (white arrow). In the mixed type <bold>(E2)</bold>,&#xa0;partial preservation of the RPE is observed temporally (white arrowhead), and fibrotic tissue is located both beneath and within the retinal layers&#xa0;(black asterisks). In sub-RPE fibrosis <bold>(E3)</bold>, fibrotic tissue is confined between the macular neovascular complex (dotted white arrow) and Bruch&#x2019;s membrane.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fopht-06-1786309-g002.tif">
<alt-text content-type="machine-generated">Grouped retinal imaging panels labeled A1 to E3 display three cases, each row showing color fundus photographs, close-up views, autofluorescence images, infrared images with yellow reference lines, and optical coherence tomography (OCT) scans highlighting areas of retinal damage, hyperreflective material, structural loss, and anatomical changes marked with arrows and asterisks for comparison.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Quantification methods</title>
<p>Fibrosis, strictly defined, is a histopathological process characterized by collagen deposition and fibrocellular tissue formation beneath the neurosensory retina. Imaging studies, therefore, rely on structural surrogates rather than true histologic confirmation.</p>
<p>Most studies applied categorical grading of fibrosis (present vs. absent; fibrotic vs nonfibrotic) (<xref ref-type="bibr" rid="B72">72</xref>). On CFP, the earliest and most widely adopted definitions, originating from the CATT and IVAN trials, classified fibrotic scars as well as demarcated white or yellow subretinal plaques with late fluorescein staining, distinguishing them from nonfibrotic scars or atrophic lesions (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B72">72</xref>).</p>
<p>OCT-based assessments subsequently linked these CFP features to structural correlates. Most studies described subretinal fibrosis as dense SHRM on or above the RPE, and sub-RPE fibrosis as hyperreflective material beneath an elevated or disrupted RPE band, often corresponding to fibrovascular PED. However, not all sub-RPE fibrovascular tissue manifests as a &#x201c;fibrotic scar&#x201d; on CFP, highlighting the partial overlap between imaging modalities.</p>
<p>Manual area or thickness measurements of SHRM or scar tissue were occasionally reported on B-scan or <italic>en face</italic> OCT images. At the same time, PS-OCT uniquely enabled volumetric birefringent-based quantification of collagen (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B61">61</xref>). Two recent studies trialled AI-based segmentation of OCT images (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B59">59</xref>), though neither included external or histologic validation.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Incidence and time course of fibrosis</title>
<p>The reported incidence of macular fibrosis varied substantially by MNV type, treatment regimen, and duration of follow-up. Subgroup analyses by lesion subtype and treatment regimen are presented in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S5</bold></xref>. Across 11 studies, the pooled cumulative incidence was 29.4% (95% CI, 25.1&#x2013;34.1), with marked heterogeneity (I&#xb2; = 100%). The incidence increased further in long-term cohorts, reaching 40-50% by 5 years of continuous anti-VEGF therapy. When stratified by MNV type, the risk was lowest in PCV (7.5%, 95% CI 3.7&#x2013;14.5) (<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B75">75</xref>) and highest in type 2 MNV (61.5%, 95% CI 22.4&#x2013;89.8) (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Type 1 lesions demonstrated a comparatively low incidence (15.1%, 95% CI 14.9&#x2013;15.2), while type 3 lesions showed intermediate rates (29.8%, 95% CI 29.4&#x2013;30.3) (<xref ref-type="bibr" rid="B25">25</xref>). Mixed lesions had a pooled incidence of 41.0% (95% CI 36.4&#x2013;45.7). Regimen-related differences were also evident: the pooled incidence was 40.0% (95% CI, 39.9&#x2013;40.1) with monthly dosing, 46.6% (95% CI, 45.0&#x2013;48.2) under <italic>pro re nata</italic> regimens, and 24.2% (95% CI, 15.8&#x2013;35.1) with treat-and-extend. Longitudinal analyses demonstrated a steady increase in the cumulative incidence of fibrosis over time, with rates approaching 40&#x2013;50% at five years (CATT, Gillies 2020) (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B72">72</xref>) and nearly two-thirds of eyes affected at ten years in Romano et&#xa0;al. (<xref ref-type="bibr" rid="B8">8</xref>).</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Functional outcomes</title>
<sec id="s3_5_1">
<label>3.5.1</label>
<title>Best corrected visual acuity</title>
<p>BCVA was consistently worse in eyes that developed fibrosis. A pooled random-effects meta-analysis of six studies comprising more than 3,500 eyes demonstrated a mean BCVA deficit of 29.3 ETDRS letters (95% CI &#x2212;47.1 to &#x2212;11.5; I&#xb2; = 96.8) in fibrotic compared with nonfibrotic eyes (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B72">72</xref>). This effect was apparent across all follow-up intervals. At 12&#x2013;24 months, eyes with fibrosis typically had 10&#x2013;20 fewer letters than controls, as shown in CATT, IVAN, and registry studies (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B72">72</xref>). At 5 years, CATT data revealed a mean BCVA of 48 letters in eyes with fibrotic scars, compared with 73 letters in eyes with nonfibrotic scars and 62 letters in eyes without scarring (<xref ref-type="bibr" rid="B8">8</xref>). Long-term outcomes were similarly poor: Romano et&#xa0;al. (8) reported a mean BCVA of 44 &#xb1; 22 letters in fibrotic eyes versus 63 &#xb1; 17 in nonfibrotic eyes at ten years. Study-level visual acuity outcomes and follow-up durations are detailed in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S6</bold></xref>.</p>
<p>Interpretation of pooled BCVA differences is limited by heterogeneity in visual acuity measurement scales, variable follow-up intervals, inconsistent baseline visual acuity adjustment, and incomplete reporting of cataract status or cataract surgery. In eyes with advanced disease, floor effects may further attenuate the detectability of changes in visual acuity.</p>
</sec>
<sec id="s3_5_2">
<label>3.5.2</label>
<title>Other functional outcomes</title>
<p>Evidence for functional outcomes beyond BCVA was more limited but consistently unfavourable for eyes with fibrosis (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S7</bold></xref>). Microperimetry demonstrated marked reductions in mesopic retinal sensitivity, typically in the range of 8&#x2013;15 dB, compared with preserved retinal areas, as reported by Querques (2020), Schranz (2024), and Tan (2024) (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B64">64</xref>). Contrast sensitivity (CS), measured with the Pelli-Robson chart, was significantly reduced in fibrotic eyes compared with nonfibrotic eyes. CS loss correlated strongly with declines in vision-related quality of life (NEI-VFQ-25) scores (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>The same study also showed worse low-luminance visual acuity (LLVA) under a 2.0-log ND filter and slower reading speed, although the latter was not stratified by fibrosis status. Collectively, these findings suggest that subretinal fibrosis adversely affects not only high-contrast acuity but also contrast sensitivity, mesopic retinal sensitivity, and patient-perceived visual function.</p>
</sec>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Factors associated with fibrosis</title>
<p>Several imaging and clinical features were consistently associated with the development of fibrosis across included studies (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>, <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). The most consistently associated imaging and clinical features were the presence of type 2 MNV (OR 5.7, 95% CI 3.6&#x2013;9.1), baseline SHRM (OR 2.7, 95% CI 1.1&#x2013;6.6), and intraretinal fluid (OR 3.6, 95% CI 0.9&#x2013;14.8). Large baseline haemorrhage (&#x2265; 4-disc diameters) was also associated with a higher risk (OR 2.3, 95% CI 1.2&#x2013;4.2). By contrast, subretinal fluid demonstrated a pooled odds ratio of 0.61 (95% CI 0.27&#x2013;1.36), with substantial heterogeneity, compatibles with no clear association with fibrosis across studies.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Forest plot of baseline associations of subretinal fibrosis. Odds ratios (ORs) are shown on a log scale with 95% confidence intervals (CIs). Baseline associations with incident fibrosis (red) include Type 2 MNV (OR 5.7, 95% CI 3.6&#x2013;9.1; I&#xb2; = 14%; k = 3), baseline SHRM (OR 2.7, 95% CI 1.1&#x2013;6.6; I&#xb2; = 69%; k = 3), intraretinal fluid (OR 3.6, 95% CI 0.9&#x2013;14.8; I&#xb2; = 76%; k = 2), and haemorrhage &#x2265;4 DD (OR 2.3, 95% CI 1.2&#x2013;4.2; I&#xb2; = 0%; k = 2). Protective associations (blue) include subretinal fluid (OR 0.61, 95% CI 0.27&#x2013;1.36; I&#xb2; = 97%; k = 2). Additional associations reported in single studies included BALAD haemorrhage (HR 2.0, 95% CI 1.1&#x2013;3.8; k = 1), baseline atrophy (HR 2.0, 95% CI 1.3&#x2013;3.0; k = 1), and baseline central macular thickness (HR 1.14, 95% CI 1.02&#x2013;1.27; k = 1). The dashed vertical line indicates the null effect (OR = 1).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fopht-06-1786309-g003.tif">
<alt-text content-type="machine-generated">Forest plot displaying odds and hazard ratios for seven clinical predictors on a log scale, with confidence intervals represented by horizontal lines. Significant predictors include Type 2 MNV, Baseline SHRM, Intraretinal fluid, and Haemorrhage greater than or equal to four disc diameters. Subretinal fluid shows a lower risk, and additional factors include BALAD haemorrhage, baseline atrophy, and baseline CMT per one hundred micrometers. Each row lists corresponding ratios, confidence intervals, heterogeneity index, and number of studies.</alt-text>
</graphic></fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Imaging and clinical factors associated with Fibrosis in nAMD.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Imaging / Clinical feature</th>
<th valign="middle" align="center">Timing / Definition used across studies</th>
<th valign="middle" align="center">Representative studies</th>
<th valign="middle" align="center">Summary of association with fibrosis</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Type 2 macular neovascularization (MNV)</td>
<td valign="middle" align="left">Baseline lesion subtype</td>
<td valign="middle" align="left">Romano 2023 (<xref ref-type="bibr" rid="B8">8</xref>); Souied 2020 (<xref ref-type="bibr" rid="B9">9</xref>); Lenhof 2025 (<xref ref-type="bibr" rid="B25">25</xref>); Liu 2024 (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="middle" align="left">Consistently associated with higher odds of fibrosis across cohorts and registries</td>
</tr>
<tr>
<td valign="middle" align="left">Subretinal hyperreflective material (SHRM)</td>
<td valign="middle" align="left">Baseline presence or persistence on OCT</td>
<td valign="middle" align="left">Willoughby 2015 (<xref ref-type="bibr" rid="B16">16</xref>); Casalino 2018 (<xref ref-type="bibr" rid="B35">35</xref>); Kim 2018 (<xref ref-type="bibr" rid="B75">75</xref>); Ramtohul 2022 (<xref ref-type="bibr" rid="B67">67</xref>); Liu 2024 (<xref ref-type="bibr" rid="B59">59</xref>)</td>
<td valign="middle" align="left">Strongly and consistently associated with fibrosis across imaging definitions</td>
</tr>
<tr>
<td valign="middle" align="left">Intraretinal fluid (IRF)</td>
<td valign="middle" align="left">Presence or persistence during follow-up (time-updated)</td>
<td valign="middle" align="left">PRECISE (Chandra 2024) (<xref ref-type="bibr" rid="B68">68</xref>); Roberts 2022 (<xref ref-type="bibr" rid="B31">31</xref>); Lenhof 2025 (<xref ref-type="bibr" rid="B25">25</xref>); Llorente-Gonz&#xe1;lez 2022 (<xref ref-type="bibr" rid="B60">60</xref>)</td>
<td valign="middle" align="left">Associated with fibrosis in several studies; pooled estimates show substantial heterogeneity</td>
</tr>
<tr>
<td valign="middle" align="left">Subretinal fluid (SRF)</td>
<td valign="middle" align="left">Baseline or during follow-up</td>
<td valign="middle" align="left">Gianniou 2015;57 Llorente-Gonz&#xe1;lez 2022 (<xref ref-type="bibr" rid="B60">60</xref>); PRECISE (Chandra 2024) (<xref ref-type="bibr" rid="B68">68</xref>)</td>
<td valign="middle" align="left">Pooled estimate compatible with no clear association with fibrosis (OR 0.61, 95% CI 0.27&#x2013;1.36; high heterogeneity)</td>
</tr>
<tr>
<td valign="middle" align="left">Large subretinal haemorrhage (&#x2265;4 disc diameters)</td>
<td valign="middle" align="left">Baseline haemorrhage extent</td>
<td valign="middle" align="left">Daniel 2018 (CATT) (<xref ref-type="bibr" rid="B13">13</xref>); Ramtohul 2022 (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="middle" align="left">Associated with increased odds of subsequent fibrosis</td>
</tr>
<tr>
<td valign="middle" align="left">Bacillary layer detachment (BALAD)</td>
<td valign="middle" align="left">Baseline OCT finding</td>
<td valign="middle" align="left">Ramtohul 2022 (<xref ref-type="bibr" rid="B67">67</xref>)</td>
<td valign="middle" align="left">Associated with higher fibrosis risk in single-study analyses</td>
</tr>
<tr>
<td valign="middle" align="left">Baseline visual acuity</td>
<td valign="middle" align="left">ETDRS letters at presentation</td>
<td valign="middle" align="left">PRECISE (Chandra 2024) (<xref ref-type="bibr" rid="B68">68</xref>); Romano 2023 (<xref ref-type="bibr" rid="B8">8</xref>); Angermann 2022 (<xref ref-type="bibr" rid="B36">36</xref>)</td>
<td valign="middle" align="left">Lower baseline visual acuity frequently observed in eyes with fibrotic features at presentation</td>
</tr>
<tr>
<td valign="middle" align="left">Baseline central macular thickness (CMT)</td>
<td valign="middle" align="left">Per 100-&#xb5;m increase</td>
<td valign="middle" align="left">Daniel 2018 (CATT) (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="middle" align="left">Modestly associated with fibrosis in single-study analyses</td>
</tr>
<tr>
<td valign="middle" align="left">Baseline atrophy</td>
<td valign="middle" align="left">Presence of geographic or outer retinal atrophy</td>
<td valign="middle" align="left">Daniel 2018 (CATT) (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="middle" align="left">Associated with fibrosis in single-study analyses</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>MNV, Macular neovascularization; SHRM, Subretinal hyperreflective material; IRF, Intraretinal fluid; SRF, Subretinal fluid; OR, Odds ratio; HR, Hazard ratio; aHR, Adjusted hazard ratio; VA, Visual acuity; DD, Disc diameter; CNV, Choroidal neovascularization; RAP, Retinal angiomatous proliferation; PCV, Polypoidal choroidal vasculopathy; BALAD, Bacillary layer detachment; RPE, Retinal pigment epithelium; ETDRS, Early Treatment Diabetic Retinopathy Study; EZ, Ellipsoid zone; ELM, External limiting membrane; ORT, Outer retinal tubulation; ML, Machine learning; GEE, Generalized estimating equation; GLM, General linear model.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Additional single-study baseline associations included bacillary layer detachment, baseline atrophy, and increased or fluctuating central subfield thickness (CST). In particular, Evans et&#xa0;al. reported that greater CST variability over serial visits was independently associated with subsequent fibrotic or atrophic scarring, even after adjustment for baseline lesion type and treatment intensity (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>Poor baseline visual acuity and lesion subtype were consistently associated with fibrosis. In a Japanese aflibercept treat-and-extend cohort, Ito et&#xa0;al. found subfoveal fibrosis in 23% of eyes, occurring more frequently in classic than occult CNV (OR 7.6, p &lt; 0.01) (<xref ref-type="bibr" rid="B70">70</xref>). Similarly, the PRECISE registry (<xref ref-type="bibr" rid="B68">68</xref>) identified fibrotic or fibro-vascular components at baseline in approximately 17% of treatment-na&#xef;ve eyes, with low baseline vision (&lt; 54 letters) representing the strongest independently associated covariate (<xref ref-type="bibr" rid="B68">68</xref>). Janse van Rensburg et&#xa0;al. further reported that Type 2 MNV and the presence of subretinal fibrotic tissue was strongly associated with outer retinal tubulation formation (OR 22.2 and 3.1, respectively), supporting an association between subretinal fibrosis and structural retinal remodelling (<xref ref-type="bibr" rid="B69">69</xref>).</p>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Risk of bias</title>
<p>Risk of bias assessment using the QUIPS tool is summarised in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table S8</bold></xref>. Secondary analyses of large randomized controlled trials were generally rated as low risk across most domains (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B72">72</xref>). Registry-based studies were typically judged to be at moderate risk, most often due to incomplete outcome ascertainment and variable follow-up (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B60">60</xref>). Smaller retrospective cohorts, particularly those including fewer than 50 eyes, tended to be at higher risk of bias in the domains of attrition, outcome measurement, and statistical adjustment (<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B62">62</xref>). These risks of bias informed the GRADE assessments and underpin the low to very low certainty ratings assigned to most associations. Certainty of evidence ratings according to GRADE are presented in <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Tables S9</bold></xref> and <xref ref-type="supplementary-material" rid="SM1"><bold>S10</bold></xref>.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<sec id="s4_1">
<label>4.1</label>
<title>Main findings in the context of existing literature and implications for research</title>
<p>This systematic review of 58 studies confirms that macular fibrosis is a common and significant sequela of nAMD undergoing anti-angiogenic therapy. Within the first 12&#x2013;24 months of treatment, fibrosis develops in approximately 10&#x2013;25% of eyes receiving fixed monthly dosing, 20&#x2013;25% of eyes on <italic>PRN</italic> (reactive) dosing, and 15-20% under treat-and-extend (T&amp;E) protocols (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B19">19</xref>).Long-term data indicate that up to 40&#x2013;50% of treated eyes exhibit fibrosis by 5 years (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B77">77</xref>). Taken together, the evidence suggests that subretinal fibrosis is the rule rather than the exception in late-stage nAMD. Our review identified several independent covariates of fibrosis that emerged consistently.</p>
<p>Importantly, pooled estimates in this review should be interpreted as signals of association rather than definitive or interchangeable effect sizes. Given the substantial heterogeneity in fibrosis definitions, imaging modalities, and study designs, these analyses were not intended to imply biological equivalence across imaging phenotypes, but rather to identify consistent directional associations across the existing literature.</p>
<p>Among imaging features, persistent SHRM on OCT showed the most consistent associated with subsequent fibrosis across studies (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Other factors associated with fibrosis included the presence of IRF during follow-up, poor baseline visual acuity, and type 2 MNV. Findings from the PRECISE study similarly indicate that eyes with poorer baseline VA more frequently exhibit fibrotic features at presentation, highlighting the importance of early recognition of fibrotic phenotypes rather than establishing definitive prognostic relationships (<xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B74">74</xref>).</p>
<p>According to GRADE criteria adapted for prognostic research, the certainty of evidence supporting most associations identified in this review was rated as low or very low. These ratings primarily reflect inconsistency across studies, indirectness due to heterogeneous imaging definitions, and residual confounding inherent to observational designs.</p>
<p>Evidence for submacular haemorrhages (SMH) as a risk factor is more limited but supportive. Large baseline or recurrent haemorrhages, particularly those &#x2265;4-disc diameters, were associated with higher odds of fibrosis in CATT, consistent with the concept that subretinal blood promotes fibrocellular organization through iron-induced RPE and photoreceptor injury (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B72">72</xref>). While SMH has not been uniformly quantified across studies, the available data suggest a moderate independent association with fibrotic scarring.</p>
<p>In contrast, SRF was often protective, correlating with lower fibrosis rates, possibly because it represents a spatial separation between the neurosensory retina and the neovascular complex, delaying fibrotic organization (<xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B60">60</xref>). However, SRF occurs more frequently in type 1 (occult) MNV, which itself carries a lower intrinsic risk of fibrotic scar formation; therefore, the apparent protective effect of SRF may partly reflect lesion-type confounding rather than a direct anti-fibrotic influence.</p>
<p>Cheong et&#xa0;al. conducted a recent systematic review and meta-analysis that reported similar fibrosis incidence rates and identified many of the same risk and protective factors for scarring (<xref ref-type="bibr" rid="B76">76</xref>). Our analysis builds on this foundation by adding treatment regimen-specific insights: we observed that eyes managed with PRN anti-angiogenic treatment had higher one- and two-year fibrosis rates than those under continuous monthly or treat-and-extend therapy, potentially reflecting the benefit of more sustained angiogenic suppression (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Although proactive regimens (fixed monthly or treat-and-extend) are associated with lower cumulative fibrosis at 12&#x2013;24 months compared with reactive PRN dosing, consistent with a delay in fibrosis onset, the &#x201c;fibrosis gap&#x201d; narrows by approximately 5 years, with a substantial proportion of eyes developing fibrosis even under treat-and-extend protocols. Notably, both our review and Cheong et&#xa0;al. observed that most fibrotic scarring emerges within the first year of treatment, suggesting an early transition toward fibrocellular remodelling in a subset of eyes (&#x2018;angio&#x2013;fibrotic transition&#x2019; concept), which current anti-VEGF therapy may not fully prevent (<xref ref-type="bibr" rid="B76">76</xref>). However, several studies suggest that fibrosis tends to appear early, predominantly in eyes that are already severely affected at baseline, either due to delayed initiation of anti-VEGF therapy or inherently aggressive disease activity, rather than representing <italic>de novo</italic> early scarring in otherwise mild cases (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B69">69</xref>).</p>
<p>Emerging evidence suggests that maintaining steady disease control, with minimal lapses or recurrences, may be more critical than the exact extension interval used in treat-and-extend protocols. For example, a 10-year follow-up by Romano et&#xa0;al. identified large fluctuations in central retinal thickness as one of the strongest associations of new fibrosis; eyes with frequent recurrences had substantially higher rates of scarring (<xref ref-type="bibr" rid="B8">8</xref>). Conversely, the ALTAIR trial demonstrated comparable visual and anatomic outcomes between 2-week and 4-week extension increments over 2 years, though fibrotic scarring was not a dedicated endpoint in this analysis (<xref ref-type="bibr" rid="B78">78</xref>).</p>
<p>Limited phenotypic data suggest that proactive regimens may primarily delay or reduce subretinal fibrocellular scarring. At the same time, sub-RPE fibrosis likely represents a natural progression of neovascular lesions and may persist despite optimal exudation control. Even monthly anti-angiogenic regimens do not eliminate the risk of fibrosis (<xref ref-type="bibr" rid="B79">79</xref>). Thus, controlling or preventing fibrosis remains an unmet need in current practice.</p>
<p>The genetic susceptibility to subretinal fibrosis in nAMD remains unclear. While experimental and translational work has implicated profibrotic signalling pathways such as TGF-&#x3b2;, PDGF, Wnt, and inflammatory mediators such as TNF-&#x3b1; and matrix metalloproteinases in myofibroblast recruitment and collagen deposition beneath the neurosensory retina, no included clinical study demonstrated a reproducible association between germline variants (e.g., CFH, ARMS2/HTRA1, TGF-&#x3b2;1 polymorphisms) and the subsequent development of imaging-defined fibrosis under anti-VEGF therapy. Instead, fibrosis risk in real-world and trial cohorts was driven predominantly by lesion phenotype (notably type 2 MNV), baseline or persistent SHRM, intraretinal fluid, large subretinal haemorrhage, and unstable anatomical control over time (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>). Aqueous humour cytokine profiling studies have shown increased levels of TGF-&#x3b2;1, IL-6, and VEGF in eyes with established fibrosis, consistent with an active wound-healing microenvironment (<xref ref-type="bibr" rid="B37">37</xref>). However, these reflect local inflammatory milieu rather than inherited susceptibility. Pre-clinical work has further characterized profibrotic cascades in experimental models (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B80">80</xref>), and reviews of anti-fibrotic targets have highlighted these same molecular pathways as potential therapeutic avenues (<xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B81">81</xref>). Taken together, current evidence supports the biological plausibility of targeted anti-fibrotic pathways, but no clinically actionable genetic signature for fibrosis has yet been identified.</p>
<p>It is well established that fibrotic scarring in nAMD is associated with poorer visual acuity outcomes, and our findings reaffirm this link. On average, BCVA of eyes that developed fibrosis had 25&#x2013;30 fewer ETDRS letters by 3&#x2013;5 years of treatment compared to nonfibrotic eyes, and our meta-analysis found a similar 29-letter deficit (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B77">77</xref>). This gap emerges early (already 15&#x2013;20 letters by 1 and 2 years) and tends to widen over time. This degree of vision loss underscores the severe functional impact of fibrotic scarring. Our analyses extend beyond BCVA by considering other functional metrics. Although only sparingly reported to date, they demonstrate that fibrosis profoundly impairs broader visual function: microperimetry studies demonstrate 8&#x2013;15 dB reductions in retinal sensitivity over fibrotic areas; LLVA and CS are significantly impaired in eyes with scars; and one study noted consistently lower vision-related quality of life (NEI VFQ-25 scores) in patients with fibrotic scarring (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B82">82</xref>).</p>
<p>While BCVA consistently worsened in eyes with fibrosis, BCVA alone does not fully capture the functional impact of fibrotic scarring. Floor effects in advanced disease, cataract progression or surgery, and competing atrophic changes may partially confound observed differences in visual acuity, particularly at longer follow-up intervals.</p>
<p>Future studies should incorporate additional functional assessments to evaluate retinal sensitivity in eyes with fibrotic scars. Early microperimetry data indicate localized sensitivity loss corresponding to areas of fibrosis; correlating such functional maps with detailed structural characteristics of fibrosis (e.g., scar area, thickness, location, and vascularity) can identify which aspects of scarring are most detrimental to vision, inform clinical management, and help design therapies aimed at preserving functional vision despite fibrotic changes. In addition, emerging metrics such as the quantitative contrast sensitivity function (qCSF), which have recently been integrated into the MACUSTAR protocol and other AMD and diabetic retinopathy trials (<xref ref-type="bibr" rid="B83">83</xref>), offer a more granular assessment of spatial-frequency-dependent vision loss and could complement microperimetry in capturing subtle functional deficits associated with fibrosis.</p>
<p>Across pooled analyses, heterogeneity was extreme, with I&#xb2; values ranging from 96% to 100%, reflecting marked variability in fibrosis definitions, imaging modalities, and study designs. Extreme heterogeneity across studies reflects not a failure of methodology, but a fundamental absence of standardized, operative definitions of fibrosis in neovascular age-related macular degeneration. Importantly, our review also revealed heterogeneity in how fibrosis is defined and measured, representing a critical barrier to progress. Imaging criteria varied across studies; for instance, fibrosis was first defined as a well-demarcated, whitish subretinal lesion on CPF or as the presence of late-phase staining on FA, whereas others relied on OCT features, such as dense subretinal hyperreflective scar tissue disrupting the RPE (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B84">84</xref>). The majority of studies used binary classification (fibrosis present/absent) or qualitative grading, with only a few attempting to quantify fibrotic lesion size or volume (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B85">85</xref>). None of these approaches has yet been validated against histopathology or used in multicenter trials. In short, the current literature employs a patchwork of definitions and grading scales for fibrosis, hindering direct comparisons of outcomes across studies. This is also reflected in recent studies, which show moderate inter-observer agreement (&#x3ba; = 0.4&#x2013;0.6) between graders or modalities in detecting fibrosis (<xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B86">86</xref>). Our findings reinforce previous reports (<xref ref-type="bibr" rid="B85">85</xref>); we observed that differing operational definitions of fibrosis across studies likely inflate between-study variability and may weaken the observed correlations between scar tissue and vision. This highlights the importance of establishing a consensus OCT-guided definition and a graded severity scale for fibrosis, thereby improving the reliability of future research and clinical trials.</p>
<p>There is a growing need for OCT-anchored, multimodal, compartment-aware definitions to harmonize fibrosis reporting and enable cross-study comparability. A consensus classification system should account for the compartment and extent of fibrotic tissue, distinguishing, for instance, fibrosis above the RPE (subretinal) from fibrosis beneath the RPE (sub-RPE), or mixed lesions involving both, as these configurations may carry different prognoses and therapeutic implications. Indeed, the evidence presented in this review supports previous assertions that fibrotic tissue involving the subretinal space is more frequently associated with photoreceptor disruption and worse visual outcomes than fibrous tissue confined beneath the RPE (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B80">80</xref>). Although these observations are likely influenced by phenotype-associated confounding, including lesion subtype, foveal involvement, and coexisting atrophy.</p>
<p>Accordingly, future studies and grading systems could adopt consistent descriptors, perhaps denoting sub-RPE scars as &#x201c;Type 1 fibrosis&#x201d; and subretinal scars as &#x201c;Type 2 fibrosis&#x201d; by analogy to MNV lesion types, to ensure uniform reporting (<xref ref-type="bibr" rid="B85">85</xref>). Accordingly, grading should record both the retinal compartment and the location relative to the fovea (subfoveal vs juxtafoveal/extrafoveal, plus central-subfield area), as foveal scarring and central outer-retinal disruption show large, independent associations with worse visual acuity. Consensus criteria should also distinguish between early fibrotic changes and mature scarring, as potential interventions may aim to halt fibrosis in its early, partially reversible phase.</p>
<p>In addition to clarifying definitions, developing quantitative metrics of fibrosis extent is another vital research goal. At present, there is no standardized severity scale for fibrosis, a gap noted by our review and others. The development of sophisticated imaging biomarkers, particularly SHRM volume quantification and morphological characterization, holds promise for creating predictive risk calculators that could stratify patients according to fibrosis propensity. Future studies should establish reproducible methods to measure the extent of fibrotic scarring, such as standardized protocols to determine the fibrotic lesion area on <italic>en face</italic> fundus images or the fibrotic lesion volume on OCT scans. Emerging artificial intelligence tools could aid these efforts; for example, early deep-learning algorithms have been prototyped to automatically detect and segment subretinal fibrosis on OCT or fundus images, although they will need validation in larger, multicenter datasets (<xref ref-type="bibr" rid="B87">87</xref>). With agreed-upon quantification standards, it would be possible to compare the &#x201c;fibrosis burden&#x201d; across studies and correlate it more precisely with outcomes. Furthermore, we recommend that interventional trials begin to include fibrosis endpoints in a graded rather than a binary fashion, enabling more nuanced assessment of how partial reductions or increases in fibrosis affect vision.</p>
<p>Overall, the quality of evidence across studies was variable. Secondary analyses of large randomized trials offer strong internal validity; however, as <italic>post hoc</italic> assessments conducted in narrowly selected trial populations, their estimates are not fully generalizable to routine care. Conversely, many real-world cohorts better reflect the breadth of clinical presentations, yet are hampered by confounding, attrition, and non-standardized grading (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B77">77</xref>). Despite these caveats, our synthesis yields a consistent conclusion: subretinal fibrosis is a frequent sequela of treated nAMD and a major driver of long-term visual decline. In summary, there is a clear research mandate to standardize, quantify, and model fibrosis in nAMD. By doing so, we can accelerate the development of therapies targeting fibrosis and ensure that future studies can meaningfully evaluate their efficacy in preserving vision.</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Implications for practice</title>
<p>Given the irreversible nature of fibrotic scarring and its devastating impact on central vision, the clinical emphasis must be on prevention rather than treatment of established scars. This paradigm highlights the importance of maintaining continuous angiogenic suppression through proactive treatment regimens, while simultaneously advancing research into anti-fibrotic agents that target the underlying wound-healing pathways driving scar formation. Accordingly, recent reviews have stressed the need for adjunct anti-fibrotic strategies: Tenbrock et&#xa0;al. (<xref ref-type="bibr" rid="B79">79</xref>) outlined key profibrotic pathways (e.g., TGF-&#x3b2;, PDGF, Wnt) as potential targets, and Armendariz and Chakravarthy (<xref ref-type="bibr" rid="B81">81</xref>) noted that while anti-angiogenic therapy has significantly reduced the incidence of massive disciform scars, more minor subretinal fibrotic scars still commonly develop and drive long-term vision loss (<xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B81">81</xref>). Until such therapies become available, recognition of fibrosis as an end-stage manifestation with a poor visual prognosis should galvanize both practitioners and patients toward strict adherence to treatment and regular monitoring to preserve remaining visual function.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Accordingly, the primary contribution of this review is not definitive effect estimation, but rather to underscore the urgent need for standardized, OCT-anchored definitions of fibrosis and reproducible quantitative imaging measures in neovascular age-related macular degeneration. Macular fibrosis appears to be a frequent and clinically consequential endpoint of nAMD, accounting for sustained deficits in visual function despite adequate control of exudation. Across study designs, fibrosis emerges early, accumulates over time, and is consistently associated with a loss of 25&#x2013;30 ETDRS letters at mid- to long-term follow-up. These conclusions are based predominantly on low-certainty evidence and should therefore be interpreted cautiously. Progress has been constrained by heterogeneity in imaging-based definitions and largely qualitative grading, which obscures incidence estimates and blunts structure&#x2013;function inference. Priority areas are clear: (i) consensus, compartment-aware OCT definitions with graded, quantitative metrics; (ii) prospective, time-updated fibrosis endpoints with appropriate handling of competing risks; and (iii) rigorous structure&#x2013;function mapping beyond BCVA. Clinically, proactive regimens that minimize disease fluctuations appear preferable, yet fibrosis persists in a substantial minority, underscoring an unmet therapeutic need. Standardized measurement, coupled with trials of anti-fibrotic strategies and careful evaluation of treat-and-extend extension patterns, is now required to translate structural insight into durable preservation of vision.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding authors.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>KS: Investigation, Visualization, Software, Conceptualization, Resources, Writing &#x2013; review &amp; editing, Methodology, Writing &#x2013; original draft, Data curation, Formal analysis. SF-B: Formal analysis, Conceptualization, Supervision, Writing &#x2013; review &amp; editing. DF: Methodology, Writing &#x2013; review &amp; editing, Formal analysis. LF: Writing &#x2013; review &amp; editing, Methodology, Formal analysis. FR: Methodology, Writing &#x2013; review &amp; editing, Formal analysis. MC: Resources, Formal analysis, Writing &#x2013; review &amp; editing. AC: Writing &#x2013; review &amp; editing, Formal analysis. SS: Writing &#x2013; review &amp; editing, Formal analysis, Supervision, Methodology.</p></sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fopht.2026.1786309/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fopht.2026.1786309/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1436960">Deokho Lee</ext-link>, Hallym University, Republic of Korea</p></fn>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3361287">Esmaeil Asadi Khameneh</ext-link>, Tehran University of Medical Sciences, Iran</p></fn>
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