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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title-group>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1667315</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>An analysis of cost-saving in the German statutory health insurance system due to the introduction of epoetin alfa biosimilars in Germany</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Raitner</surname>
<given-names>Ilka</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3223908"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>M&#x00FC;ller</surname>
<given-names>Barbara</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vijayan</surname>
<given-names>Anjaly</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zimmermann</surname>
<given-names>Lena</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bramlage</surname>
<given-names>Peter</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3128811"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ness</surname>
<given-names>Nils-Henning</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2959770"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author">
<name>
<surname>M&#x00FC;ller</surname>
<given-names>Markus</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Sandoz Deutschland/Hexal AG</institution>, <city>Holzkirchen</city>, <country country="de">Germany</country></aff>
<aff id="aff2"><label>2</label><institution>Institute for Pharmacology and Preventive Medicine</institution>, <city>Cloppenburg</city>, <country country="de">Germany</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Ilka Raitner, <email xlink:href="mailto:ilka.raitner@sandoz.com">ilka.raitner@sandoz.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-16">
<day>16</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1667315</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>13</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Raitner, M&#x00FC;ller, Vijayan, Zimmermann, Bramlage, Ness and M&#x00FC;ller.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Raitner, M&#x00FC;ller, Vijayan, Zimmermann, Bramlage, Ness and M&#x00FC;ller</copyright-holder>
<license>
<ali:license_ref start_date="2025-12-16">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>Aims</title>
<p>Epoetin alfa, an erythropoiesis-stimulating agent, is the mainstay for treating severe anemia caused by kidney disease or induced by cancer-chemotherapy. This study aims to investigate the potential for reducing drug costs through the utilization of epoetin alfa biosimilars within the German statutory health insurance system (SHI).</p>
</sec>
<sec>
<title>Methods</title>
<p>For the analysis, price and product data from ABDATA with sales volume data from IQVIA Pharmascope for the period from 2008 to 2023 were pooled. This enabled a comparison of cost savings due to the market introduction of epoetin alfa biosimilars from 2007 onwards.</p>
</sec>
<sec>
<title>Results</title>
<p>From 2008 to 2023, overall epoetin alfa unit volume has increased by a total of 23%. Compared to the other epoetin derivatives such as, epoetin beta, zeta and theta, an average unit share of 57% (between 2008 and 2023) highlights the importance of epoetin alfa within the segment of erythropoiesis-stimulating agents. Among the various dosing strengths of epoetin alfa, the nephrological strength 4,000&#x202F;IU formulation has gained notable sales growth (12%) from 2008 to 2023. Economically, the introduction of epoetin alfa biosimilars has led to substantial cost-savings for the SHI, amounting to &#x20AC;505,731,202 between 2008 and 2023 for nephrological strengths. Due to biosimilar competition, the price of epoetin alfa decreased by 47% from 2007 to 2012, further contributing to the diminished price difference between originator epoetin and other epoetin alfa biosimilars. Notably, the 4,000&#x202F;IU nephrological strength alone accounted for savings of &#x20AC;143,720,363, reflecting its widespread clinical adoption.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The introduction of epoetin alfa biosimilars has not only enhanced clinical accessibility, but also yielded significant cost savings for the German healthcare system. This underscores the dual role of biosimilars in improving healthcare affordability and maintaining effective therapeutic outcomes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>biosimilars</kwd>
<kwd>epoetin alfa</kwd>
<kwd>cost-savings</kwd>
<kwd>Germany</kwd>
<kwd>German statutory health system</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. Funding for the analysis and publication was provided by Sandoz Deutschland / Hexal AG (Holzkirchen, Germany).</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="5"/>
<ref-count count="22"/>
<page-count count="9"/>
<word-count count="5650"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Health Economics</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Pharmaceutical prices in Germany are initially determined freely by the originator manufacturer (<xref ref-type="bibr" rid="ref1">1</xref>). Following regulatory approval, prescription medicines can typically be launched directly onto the German market. Thereby, patients insured under the statutory health insurance (SHI) scheme, a mandatory, universal healthcare system which includes about 90% of all German citizens, are entitled to reimbursement of prescription medicine costs (<xref ref-type="bibr" rid="ref1">1</xref>). The SHI funds operate on the principle of solidarity, with contributions determined according to each insured individual&#x2019;s financial capacity, while the scope of insurance benefits remain identical for all members (<xref ref-type="bibr" rid="ref2">2</xref>). Since 2011, all newly marketed drugs undergo an early benefit assessment within the first year after launch, including negotiations on the reimbursed price (<xref ref-type="bibr" rid="ref3">3</xref>). Once market exclusivity and patent protection expire, generic or biosimilar products may enter the market, which is expected to generate substantial cost savings for health insurers (<xref ref-type="bibr" rid="ref4">4</xref>). The entry of such follow-on products also triggers price competition, shaped by specific regulatory mechanisms but primarily driven by direct market forces (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>).</p>
<p>Several price regulation policy instruments are available to foster competition in the German pharmaceutical market, especially after loss of exclusivity. Health insurers may enter into rebate contracts with pharmaceutical companies, enabling preferential dispensing of specific products in pharmacies (<xref ref-type="bibr" rid="ref4">4</xref>). Competitive list prices also provide advantages in market positioning. Furthermore, the establishment of reference price systems allows maximum reimbursement thresholds to be set for defined therapeutic classes or specific molecules, thereby exerting additional downward pressure on prices (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). These thresholds may be further adjusted with intensified price competition within the therapeutic class (<xref ref-type="bibr" rid="ref6">6</xref>). Despite the fact that biologic drugs are &#x2013; up until 2025 &#x2013; in most cases not part of an automatic substitution at pharmacy level, above mentioned pricing regulation instruments apply for all prescription medicine, both small molecule and biologic drugs.</p>
<p>In this regulatory and economic environment, biosimilars have become an increasingly important instrument for cost containment. Biosimilars are biological products that are highly similar to an already approved biologic medication, known as the originator product (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref8">8</xref>). They are designed to have no clinically meaningful differences in terms of biological activity, efficacy, safety, quality, and immunogenicity profile compared to the original biologic, allowing biosimilars to provide comparable therapeutic benefits while often being more cost-effective (<xref ref-type="bibr" rid="ref7">7</xref>, <xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>The originator product with the active substance epoetin alfa is marketed under the brand name Eprex/Erypo (<xref ref-type="bibr" rid="ref9">9</xref>). In 2007 several biosimilar products to Erypo were approved by the European Medicines Agency (EMA) and have since been marketed in Germany (<xref ref-type="bibr" rid="ref10 ref11 ref12 ref13">10&#x2013;13</xref>). These are available in a pre-filled syringe, with strengths ranging from 1,000 international units (IU) to 40,000 IU, excluding Abseamed, which is solely available up to a strength of 10,000 IU.</p>
<p>Despite the literature on the clinical experience of epoetin alfa biosimilars, key gaps remain in the economic analysis of these products. Previous studies have demonstrated therapeutic equivalence and safety to reference medicine (<xref ref-type="bibr" rid="ref14 ref15 ref16">14&#x2013;16</xref>), but have neglected critical aspects of cost savings to the German healthcare system. Addressing this gap, this study aimed to exclusively investigate the economic impact of the introduction of epoetin alfa biosimilars in the German SHI market using real-world data on unit volumes and list prices. Such analysis is essential to inform evidence-based healthcare policy and reimbursement decisions.</p>
</sec>
<sec sec-type="methods" id="sec2">
<label>2</label>
<title>Methods</title>
<sec id="sec3">
<label>2.1</label>
<title>Study design</title>
<p>This budget impact analysis employed a retrospective database to assess the economic impact of the introduction of epoetin alfa biosimilars in the German SHI market. It is based on real-world data collected from January 2008 to December 2023 (16&#x202F;years), focusing on price trends and volume usage to determine cost-savings and market dynamics.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Data sources</title>
<p>The primary data sources comprise price and product data from ABDATA and volume data from IQVIA Pharmascope, ensuring comprehensive coverage and reliability, as well as consistency in data collection and cost estimations. Price and product data from the ABDATA database provide detailed information on product identifiers (Pharmazentralnummer, PZN), strength, dosage, and pack size, along with official list prices of drugs sold in Germany. This dataset is updated on the 1st and 15th of each month. This analysis encompasses data from January 1st, 2007 to December 15th, 2023, with pricing data from 2007 used exclusively for the purpose of list price comparison with the originator product. Volume data, sourced from IQVIA Pharmascope, provides monthly sell-out units per individual PZN. For the current analysis, data from January 2008 until December 2023 were utilized. The ABDATA dataset represents the complete population of all available PZNs marketed in Germany during the study period. IQVIA Pharmascope data was matched to ABDATA data via the unique identifier PZN on monthly basis. If a PZN was missing in IQVIA Pharmascope data set for a specific period, the respective unit value was set to zero.</p>
<p>Neither ABDATA nor IQVIA&#x2019;s Pharmascope are publicly accessible; they are subscription-based, professional databases and analytical services designed for the pharmaceutical industry.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Inclusion and exclusion criteria</title>
<p>The analysis included all listed Pharmaceutical Central Numbers (PZNs) for epoetin alfa products, encompassing both originator and biosimilar formulations. These were categorized according to their therapeutic indication and dosage strength, with nephrological strengths ranging from 1,000&#x202F;IU to 10,000 IU and oncological strengths ranging from 20,000 IU to 40,000 IU. If a PZN was discontinued, it remained included as long as it appeared in the ABDATA dataset.</p>
<p>Products were excluded based on specific criteria. Epoetin variants such as epoetin beta, theta, and zeta were omitted from the cost-saving analysis due to regulatory or chemical differences. In addition, PZNs with an ex-factory price of zero were excluded, as these represented hospital-use or sample packages.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Calculations and analysis</title>
<p>The pricing structure consists of two key components: Firstly, the ex-factory price (&#x201C;Abgabepreis des pharmazeutischen Unternehmens,&#x201D; APU), representing the official list price, is published and accessible for each pharmaceutical product (identified by its PZN) on two specific dates per month, namely the 1st and 15th. In order to compile a single data set per each month, an average APU (AVG APU) is calculated per PZN. The AVG APU is calculated as the mean of the APU values available on the 1st and 15th of the month, expressed as:</p><disp-formula id="E1">
<mml:math id="M1">
<mml:mi mathvariant="italic">AVG</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="italic">AP</mml:mi>
<mml:msub>
<mml:mi>U</mml:mi>
<mml:mtext mathvariant="italic">MONTH</mml:mtext>
</mml:msub>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="italic">per</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="italic">PZN</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="italic">AP</mml:mi>
<mml:msub>
<mml:mi>U</mml:mi>
<mml:mrow>
<mml:mn>1</mml:mn>
<mml:mi mathvariant="italic">st</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mi mathvariant="italic">AP</mml:mi>
<mml:msub>
<mml:mi>U</mml:mi>
<mml:mrow>
<mml:mn>15</mml:mn>
<mml:mi mathvariant="italic">th</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>/</mml:mo>
<mml:mn>2</mml:mn>
</mml:math>
</disp-formula>
<p>In case a PZN was launched on the 15th, the AVG APU for that respective month will be equal to the APU of the 15th.</p>
<p>The second component is a price baseline (APU_fixed), representing the price level before the introduction of epoetin alfa biosimilars to the pharmaceutical market. APU_fixed is an average of all PZNs (originator and importers) with identical strengths and pack sizes available on April 1st, 2007, thus yielding a single price per package category defined by strength and pack size. Prices from importers are included to account for price competition prior to market entry of biosimilars.</p><disp-formula id="E2">
<mml:math id="M2">
<mml:mi mathvariant="italic">APU</mml:mi>
<mml:mo>_</mml:mo>
<mml:mtext mathvariant="italic">fixed</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mfrac>
<mml:mrow>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="italic">AP</mml:mi>
<mml:msub>
<mml:mi>U</mml:mi>
<mml:mtext mathvariant="italic">Originator</mml:mtext>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mi mathvariant="italic">AP</mml:mi>
<mml:msub>
<mml:mi>U</mml:mi>
<mml:mtext mathvariant="italic">ImporterA</mml:mtext>
</mml:msub>
<mml:mo>+</mml:mo>
<mml:mo>&#x2026;</mml:mo>
<mml:mo>+</mml:mo>
<mml:mi mathvariant="italic">AP</mml:mi>
<mml:msub>
<mml:mi>U</mml:mi>
<mml:mtext mathvariant="italic">ImporterX</mml:mtext>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
</mml:mrow>
<mml:msub>
<mml:mi>n</mml:mi>
<mml:mtext mathvariant="italic">Manufacturer</mml:mtext>
</mml:msub>
</mml:mfrac>
</mml:math>
</disp-formula>
<p>Calculation of APU_fixed package per dosage and pack size combination based on the available APU prior to epoetin alfa biosimilars (cut-off date, April 1st, 2007).</p>
<p>In addition to price calculations, market share analyses were performed. Market shares were calculated based on volume data obtained by IQVIA Pharmascope, which provides monthly data at the PZN level, expressed in units (packages). The basis for determining the market share of epoetin alfa among epoetin derivates was the accumulated volume data per year for epoetin alfa, epoetin beta, epoetin theta and epoetin zeta. Market share calculations of specific dosages were based on volume data per year for epoetin alfa exclusively.</p>
<p>When discussing costs relevant for the German SHI system, the pharmacy selling price would seem to constitute an appropriate basis for drug cost calculation basis, but only after deducting mandatory manufacturing rebates, pharmacy rebates and rebates from confidential contracts with state insurance companies. Mandatory pharmacy as well as manufacturing rebates are defined in social legislation (&#x00A7;130 und &#x00A7;130a SGB V), while rebate contracts are individually negotiated by insurance companies. Pharmaceutical companies participating in such contracts are obliged to grant refunds according to the defined rebate conditions. These conditions vary across contract frameworks of the insurance company and are not publicly disclosed. The pharmacy selling price itself is determined through formal calculation rules defined within the Pharmaceutical Price Regulation (&#x201C;Arzneimittelpreisverordnung&#x201D; (<xref ref-type="bibr" rid="ref17">17</xref>)). Given that the pharmacy selling price is influenced by legal regulations, changes at this level may occur independently of manufacturer price adjustments.</p>
<p>In order to circumvent the potential distortions caused by regulatory changes and the confidentiality of rebate contracts, the ex-factory price (APU) was utilized as the basis for cost-saving analyses, instead of the pharmacy selling price. Consequently, the identified cost savings in absolute numbers may be lower than the actual savings.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Market value and cost-savings</title>
<p>The market value of epoetin alfa is calculated using two approaches: fixed prices (APU_fixed) and list prices (AVG APU). These calculations use the following formulas:</p><disp-formula id="E3">
<mml:math id="M3">
<mml:mtext mathvariant="italic">Market Value</mml:mtext>
<mml:mspace width="0.25em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="italic">APU</mml:mi>
<mml:mo>_</mml:mo>
<mml:mtext mathvariant="italic">fixed</mml:mtext>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>2008</mml:mn>
</mml:mrow>
<mml:mn>2023</mml:mn>
</mml:msubsup>
<mml:mo stretchy="true">(</mml:mo>
<mml:mtext mathvariant="italic">Volum</mml:mtext>
<mml:msub>
<mml:mi mathvariant="normal">e</mml:mi>
<mml:mrow>
<mml:mi mathvariant="italic">PZN</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2217;</mml:mo>
<mml:mi mathvariant="italic">APU</mml:mi>
<mml:mo>_</mml:mo>
<mml:mtext mathvariant="italic">fixe</mml:mtext>
<mml:msub>
<mml:mi>d</mml:mi>
<mml:mtext mathvariant="italic">package</mml:mtext>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
</mml:math>
</disp-formula>
<p>And</p><disp-formula id="E4">
<mml:math id="M4">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mtext mathvariant="italic">Market Value</mml:mtext>
<mml:mspace width="0.33em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mtext mathvariant="italic">list price</mml:mtext>
<mml:mo>_</mml:mo>
<mml:mi mathvariant="italic">APU</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
<mml:mo>=</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mspace width="0.25em"/>
<mml:mspace width="0.25em"/>
<mml:msubsup>
<mml:mo>&#x2211;</mml:mo>
<mml:mrow>
<mml:mi>t</mml:mi>
<mml:mo>=</mml:mo>
<mml:mn>2008</mml:mn>
</mml:mrow>
<mml:mn>2023</mml:mn>
</mml:msubsup>
<mml:mo stretchy="true">(</mml:mo>
<mml:mtext mathvariant="italic">Volum</mml:mtext>
<mml:msub>
<mml:mi>e</mml:mi>
<mml:mrow>
<mml:mi mathvariant="italic">PZN</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo>&#x2217;</mml:mo>
<mml:mi mathvariant="italic">AVG</mml:mi>
<mml:mspace width="0.33em"/>
<mml:mi mathvariant="italic">AP</mml:mi>
<mml:msub>
<mml:mi>U</mml:mi>
<mml:mrow>
<mml:mi mathvariant="italic">PZN</mml:mi>
<mml:mo>,</mml:mo>
<mml:mi>t</mml:mi>
</mml:mrow>
</mml:msub>
<mml:mo stretchy="true">)</mml:mo>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>
<p>Cost savings were determined by calculating the differential between the market value derived from list price calculation (list price_APU) and the market value based on the price baseline prior to the introduction of respective biosimilar products to the market (market value APU_fixed) using the formula:</p><disp-formula id="E5">
<mml:math id="M5">
<mml:mtable columnalign="left" displaystyle="true">
<mml:mtr>
<mml:mtd>
<mml:mtext mathvariant="italic">Cost savings</mml:mtext>
<mml:mo>=</mml:mo>
<mml:mtext mathvariant="italic">Market Value</mml:mtext>
<mml:mspace width="0.33em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mi mathvariant="italic">APU</mml:mi>
<mml:mo>_</mml:mo>
<mml:mtext mathvariant="italic">fixed</mml:mtext>
<mml:mo stretchy="true">)</mml:mo>
</mml:mtd>
</mml:mtr>
<mml:mtr>
<mml:mtd>
<mml:mo>&#x2212;</mml:mo>
<mml:mtext mathvariant="italic">Market Value</mml:mtext>
<mml:mspace width="0.33em"/>
<mml:mo stretchy="true">(</mml:mo>
<mml:mtext mathvariant="italic">list price</mml:mtext>
<mml:mspace width="0.33em"/>
<mml:mi mathvariant="italic">APU</mml:mi>
<mml:mo stretchy="true">)</mml:mo>
</mml:mtd>
</mml:mtr>
</mml:mtable>
</mml:math>
</disp-formula>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Statistical analysis</title>
<p>We calculated annual means and percentage changes to assess trends in pricing and volume, yielding a concise illustration of market trends, price fluctuations and the uptake of biosimilars over the investigated study period (2008&#x2013;2023). AVG APU (month) was calculated per individual PZN and is an average value. APU_fixed, on the other hand, describes the average of all packages available on April 1st, 2007. The actual cost-savings analyses are calculated as the sum of the PZNs listed according to ABDATA for the analysis period. The exclusion of regulatory effects and confidential discounts was necessitated by two factors: firstly, the imperative of ensuring the comparability of the data; secondly, the recognition that confidential discounts are typically negotiated on an individual basis and are not available to the public. Assumptions were applied for the purpose of consistency, such as treating missing data within IQVIA Pharmascope as zero sales. Data extraction and integration were performed using ABDATA and IQVIA tools.</p>
</sec>
</sec>
<sec sec-type="results" id="sec9">
<label>3</label>
<title>Results</title>
<sec id="sec10">
<label>3.1</label>
<title>Epoetin alfa market share analysis</title>
<p>The range of epoetin alfa preparations available in the German market following their regulatory approval within Europe in 2007 is presented in <xref ref-type="table" rid="tab1">Table 1</xref>. In order to assess the impact of epoetin alfa within the market, we analysed annual market shares (2008&#x2013;2023) of epoetin alfa in comparison to other epoetin derivatives, including epoetin beta, theta, and zeta, based on unit volume (number of packs sold per year). The results, presented in <xref ref-type="table" rid="tab2">Table 2</xref>, indicate that epoetin alfa maintained the largest market share, contributing to 64% of total unit volume in 2023 (on average 57% unit volume between 2008 and 2023). Over the observed period, epoetin alfa demonstrated a remarkable growth of 23% in unit volume (<xref ref-type="table" rid="tab2">Table 2</xref>). In contrast, the market share of other epoetin derivatives (e.g., beta, zeta and theta) exhibited a significant decline, with a cumulative reduction of 10%, indicating an increased adoption for epoetin alfa. The overall change in unit volume for all epoetin derivatives was +9% in 2023 compared to 2008.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Epoetin alfa biosimilars available in the German market.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Preparation</th>
<th align="left" valign="top">Active ingredient</th>
<th align="left" valign="top">Approval holder</th>
<th align="left" valign="top">Active ingredient manufacturer</th>
<th align="left" valign="top">Cell lines</th>
<th align="left" valign="top">Market entry&#x002A;</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" style="background-color:#d9d9d9" colspan="5">Originator product</td>
<td style="background-color:#d9d9d9"></td>
</tr>
<tr>
<td align="left" valign="top">Erypo</td>
<td align="left" valign="top">Epoetin alfa</td>
<td align="left" valign="top">Janssen-Cilag</td>
<td align="left" valign="top">Johnson &#x0026; Johnson</td>
<td align="left" valign="top">CHO-cells</td>
<td align="left" valign="top">Jun 1989</td>
</tr>
<tr>
<td align="left" valign="top" style="background-color:#d9d9d9" colspan="5">Biosimilars</td>
<td style="background-color:#d9d9d9"></td>
</tr>
<tr>
<td align="left" valign="top">Epoetin alfa Hexal</td>
<td align="left" valign="top">Epoetin alfa</td>
<td align="left" valign="top">Hexal AG</td>
<td align="left" valign="top">Lek, Rentschler</td>
<td align="left" valign="top">CHO-cells</td>
<td align="left" valign="top">October 01, 2007</td>
</tr>
<tr>
<td align="left" valign="top">Binocrit</td>
<td align="left" valign="top">Epoetin alfa</td>
<td align="left" valign="top">Hexal AG</td>
<td align="left" valign="top">Lek, Rentschler</td>
<td align="left" valign="top">CHO-cells</td>
<td align="left" valign="top">October 15, 2007</td>
</tr>
<tr>
<td align="left" valign="top">Abseamed</td>
<td align="left" valign="top">Epoetin alfa</td>
<td align="left" valign="top">Medice Arzneimittel P&#x00FC;tter GmbH &#x0026; Co. KG</td>
<td align="left" valign="top">Lek, Rentschler</td>
<td align="left" valign="top">CHO-cells</td>
<td align="left" valign="top">October 01, 2007</td>
</tr>
<tr>
<td align="left" valign="top">Retacrit</td>
<td align="left" valign="top">Epoetin zeta</td>
<td align="left" valign="top">Pfizer Pharma GmbH</td>
<td align="left" valign="top">Norbitec</td>
<td align="left" valign="top">CHO-cells</td>
<td align="left" valign="top">February 01, 2008</td>
</tr>
<tr>
<td align="left" valign="top">Silapo</td>
<td align="left" valign="top">Epoetin zeta</td>
<td align="left" valign="top">Stadapharm GmbH</td>
<td align="left" valign="top">Norbitec</td>
<td align="left" valign="top">CHO-cells</td>
<td align="left" valign="top">February 01, 2008</td>
</tr>
<tr>
<td align="left" valign="top">Neorecormon</td>
<td align="left" valign="top">Epoetin beta</td>
<td align="left" valign="top">Roche Pharma AG</td>
<td align="left" valign="top">Roche Diagnostics GmbH</td>
<td align="left" valign="top">CHO-cells</td>
<td align="left" valign="top">Jul 1997</td>
</tr>
<tr>
<td align="left" valign="top">Eporatio</td>
<td align="left" valign="top">Epoetin theta</td>
<td align="left" valign="top">Ratiopharm GmbH</td>
<td align="left" valign="top">Merckle Biotec GmbH</td>
<td align="left" valign="top">CHO-cells</td>
<td align="left" valign="top">February 01, 2010</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;First product listing in official price and product database (e.g., Lauer-Taxe). CHO, Chinese hamster ovary.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>German market volume in units and market share (%) for epoetin derivatives.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Year</th>
<th align="center" valign="top">Epoetin alfa</th>
<th align="center" valign="top">Epoetin beta</th>
<th align="center" valign="top">Epoetin zeta</th>
<th align="center" valign="top">Epoetin theta</th>
<th align="center" valign="top">Total epoetin</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">2008</td>
<td align="center" valign="top">298,226 (57)</td>
<td align="center" valign="top">206,932 (39)</td>
<td align="center" valign="top">22,334 (4)</td>
<td align="center" valign="top">0 (0)</td>
<td align="center" valign="top">527,492</td>
</tr>
<tr>
<td align="left" valign="top">2009</td>
<td align="center" valign="top">250,394 (55)</td>
<td align="center" valign="top">153,361 (34)</td>
<td align="center" valign="top">49,186 (11)</td>
<td align="center" valign="top">0 (0)</td>
<td align="center" valign="top">452,941</td>
</tr>
<tr>
<td align="left" valign="top">2010</td>
<td align="center" valign="top">188,260 (52)</td>
<td align="center" valign="top">106,450 (29)</td>
<td align="center" valign="top">58,126 (16)</td>
<td align="center" valign="top">12,660 (3)</td>
<td align="center" valign="top">365,496</td>
</tr>
<tr>
<td align="left" valign="top">2011</td>
<td align="center" valign="top">172,941 (51)</td>
<td align="center" valign="top">82,973 (24)</td>
<td align="center" valign="top">62,981(18)</td>
<td align="center" valign="top">22,383 (7)</td>
<td align="center" valign="top">341,278</td>
</tr>
<tr>
<td align="left" valign="top">2012</td>
<td align="center" valign="top">164,358 (49)</td>
<td align="center" valign="top">74,723 (22)</td>
<td align="center" valign="top">67,619 (20)</td>
<td align="center" valign="top">26,554 (8)</td>
<td align="center" valign="top">333,254</td>
</tr>
<tr>
<td align="left" valign="top">2013</td>
<td align="center" valign="top">173,229 (52)</td>
<td align="center" valign="top">62,595 (19)</td>
<td align="center" valign="top">72,088 (22)</td>
<td align="center" valign="top">22,611 (7)</td>
<td align="center" valign="top">330,523</td>
</tr>
<tr>
<td align="left" valign="top">2014</td>
<td align="center" valign="top">183,416 (54)</td>
<td align="center" valign="top">55,872 (16)</td>
<td align="center" valign="top">83,358 (25)</td>
<td align="center" valign="top">16,289 (5)</td>
<td align="center" valign="top">338,935</td>
</tr>
<tr>
<td align="left" valign="top">2015</td>
<td align="center" valign="top">189,409 (54)</td>
<td align="center" valign="top">51,696 (15)</td>
<td align="center" valign="top">96,423 (27)</td>
<td align="center" valign="top">13,849 (4)</td>
<td align="center" valign="top">351,377</td>
</tr>
<tr>
<td align="left" valign="top">2016</td>
<td align="center" valign="top">201,542 (55)</td>
<td align="center" valign="top">51,235 (14)</td>
<td align="center" valign="top">103,782 (28)</td>
<td align="center" valign="top">13,101 (4)</td>
<td align="center" valign="top">369,660</td>
</tr>
<tr>
<td align="left" valign="top">2017</td>
<td align="center" valign="top">221,525 (56)</td>
<td align="center" valign="top">50,098 (13)</td>
<td align="center" valign="top">111,876 (28)</td>
<td align="center" valign="top">13,422 (3)</td>
<td align="center" valign="top">396,921</td>
</tr>
<tr>
<td align="left" valign="top">2018</td>
<td align="center" valign="top">258,905 (58)</td>
<td align="center" valign="top">47,977 (11)</td>
<td align="center" valign="top">126,726 (29)</td>
<td align="center" valign="top">10,918 (2)</td>
<td align="center" valign="top">444,526</td>
</tr>
<tr>
<td align="left" valign="top">2019</td>
<td align="center" valign="top">285,916 (60)</td>
<td align="center" valign="top">45,253 (10)</td>
<td align="center" valign="top">136,207 (29)</td>
<td align="center" valign="top">8,817 (2)</td>
<td align="center" valign="top">476,193</td>
</tr>
<tr>
<td align="left" valign="top">2020</td>
<td align="center" valign="top">311,362 (61)</td>
<td align="center" valign="top">41,948 (8)</td>
<td align="center" valign="top">150,307 (29)</td>
<td align="center" valign="top">8,005 (2)</td>
<td align="center" valign="top">511,622</td>
</tr>
<tr>
<td align="left" valign="top">2021</td>
<td align="center" valign="top">331,269 (62)</td>
<td align="center" valign="top">39,885 (7)</td>
<td align="center" valign="top">155,969 (29)</td>
<td align="center" valign="top">7,060 (1)</td>
<td align="center" valign="top">534,183</td>
</tr>
<tr>
<td align="left" valign="top">2022</td>
<td align="center" valign="top">347,513 (63)</td>
<td align="center" valign="top">39,466 (7)</td>
<td align="center" valign="top">158,657 (29)</td>
<td align="center" valign="top">7,074 (1)</td>
<td align="center" valign="top">552,710</td>
</tr>
<tr>
<td align="left" valign="top">2023</td>
<td align="center" valign="top">368,219 (64)</td>
<td align="center" valign="top">37,618 (7)</td>
<td align="center" valign="top">161,720 (28)</td>
<td align="center" valign="top">6,634 (1)</td>
<td align="center" valign="top">574,191</td>
</tr>
<tr>
<td align="left" valign="top">Total</td>
<td align="center" valign="top">3,946,484</td>
<td align="center" valign="top">1,148,082</td>
<td align="center" valign="top">1,617,359</td>
<td align="center" valign="top">189,377</td>
<td align="center" valign="top">6,901,302</td>
</tr>
<tr>
<td align="left" valign="top">Average 2008&#x2013;2023 in %</td>
<td align="center" valign="top">57</td>
<td align="center" valign="top">17</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">3</td>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Delta units 2023 vs. 2008 in %</td>
<td align="center" valign="top">23</td>
<td align="center" valign="top">&#x2212;10</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="center" valign="top" colspan="4">9</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data is given in units SHI (%). SHI, statutory health insurance.</p>
</table-wrap-foot>
</table-wrap>
<p>During the investigated time period, a dramatic shift from originator products to epoetin biosimilar consumption was recorded, with biosimilar market shares rising from 42% in 2008 to 92% in 2023 (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>).</p>
</sec>
<sec id="sec11">
<label>3.2</label>
<title>Usage trends of epoetin alfa based on strength between 2008 and 2023</title>
<p>Building on these findings, a detailed market analysis of epoetin alfa usage across different nephrological (1,000&#x202F;IU to 10,000 IU) and oncological strengths (20,000 IU to 40,000 IU) was undertaken to ascertain market trends (<xref ref-type="table" rid="tab3">Table 3</xref>). The analysis revealed an average market share of 93% in 2023 (95% accumulated from 2008 to 2023) for nephrological strengths. Furthermore, distinct patterns of adoption over time were identified, providing valuable insights into the dynamics of market utilization. Between 2008 and 2023, the nephrological strengths of 4,000&#x202F;IU and 2,000&#x202F;IU were observed to have the highest utilization rates (27 and 20% market share in 2023, respectively, within the nephrological strength segment). Among these, epoetin alfa 4,000&#x202F;IU showed a significant growth in unit volume (12%), indicating an increasing preference in clinical practice. In contrast, epoetin alfa 2,000&#x202F;IU exhibited a decline in unit volume of 24%. The remaining strengths demonstrated consistent usage patterns.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Market development of epoetin alfa (unit volume).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Year</th>
<th align="center" valign="top" colspan="8">Strength</th>
<th align="center" valign="top">Nephrological strength</th>
<th align="center" valign="top">Oncological strength</th>
</tr>
<tr>
<th align="center" valign="top">1,000&#x202F;IU</th>
<th align="center" valign="top">2000&#x202F;IU</th>
<th align="center" valign="top">3,000&#x202F;IU</th>
<th align="center" valign="top">4,000&#x202F;IU</th>
<th align="center" valign="top">5,000&#x202F;IU</th>
<th align="center" valign="top">6,000&#x202F;IU</th>
<th align="center" valign="top">8,000&#x202F;IU</th>
<th align="center" valign="top">10,000 IU</th>
<th align="center" valign="top">Sum 1,000&#x2013;10,000 IU</th>
<th align="center" valign="top">Sum 20,000&#x2013;40,000 IU</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">2008</td>
<td align="center" valign="top">23,313</td>
<td align="center" valign="top">88,810</td>
<td align="center" valign="top">39,127</td>
<td align="center" valign="top">83,010</td>
<td align="center" valign="top">17,697</td>
<td align="center" valign="top">18,932</td>
<td align="center" valign="top">10,492</td>
<td align="center" valign="top">8,393</td>
<td align="center" valign="top">289,774</td>
<td align="center" valign="top">8,452</td>
</tr>
<tr>
<td align="left" valign="middle">2009</td>
<td align="center" valign="top">19,803</td>
<td align="center" valign="top">70,765</td>
<td align="center" valign="top">33,807</td>
<td align="center" valign="top">67,785</td>
<td align="center" valign="top">16,479</td>
<td align="center" valign="top">16,905</td>
<td align="center" valign="top">9,313</td>
<td align="center" valign="top">8,001</td>
<td align="center" valign="top">242,858</td>
<td align="center" valign="top">7,536</td>
</tr>
<tr>
<td align="left" valign="middle">2010</td>
<td align="center" valign="top">14,437</td>
<td align="center" valign="top">53,056</td>
<td align="center" valign="top">24,561</td>
<td align="center" valign="top">51,746</td>
<td align="center" valign="top">12,063</td>
<td align="center" valign="top">12,819</td>
<td align="center" valign="top">6,972</td>
<td align="center" valign="top">6,072</td>
<td align="center" valign="top">181,726</td>
<td align="center" valign="top">6,534</td>
</tr>
<tr>
<td align="left" valign="middle">2011</td>
<td align="center" valign="top">13,389</td>
<td align="center" valign="top">49,780</td>
<td align="center" valign="top">21,228</td>
<td align="center" valign="top">47,222</td>
<td align="center" valign="top">10,379</td>
<td align="center" valign="top">12,414</td>
<td align="center" valign="top">6,696</td>
<td align="center" valign="top">5,457</td>
<td align="center" valign="top">166,565</td>
<td align="center" valign="top">6,376</td>
</tr>
<tr>
<td align="left" valign="middle">2012</td>
<td align="center" valign="top">12,219</td>
<td align="center" valign="top">47,740</td>
<td align="center" valign="top">20,971</td>
<td align="center" valign="top">43,558</td>
<td align="center" valign="top">9,870</td>
<td align="center" valign="top">12,490</td>
<td align="center" valign="top">5,668</td>
<td align="center" valign="top">4,823</td>
<td align="center" valign="top">157,339</td>
<td align="center" valign="top">7,019</td>
</tr>
<tr>
<td align="left" valign="middle">2013</td>
<td align="center" valign="top">12,333</td>
<td align="center" valign="top">50,486</td>
<td align="center" valign="top">22,607</td>
<td align="center" valign="top">43,660</td>
<td align="center" valign="top">11,907</td>
<td align="center" valign="top">13,189</td>
<td align="center" valign="top">5,895</td>
<td align="center" valign="top">5,335</td>
<td align="center" valign="top">165,412</td>
<td align="center" valign="top">7,817</td>
</tr>
<tr>
<td align="left" valign="middle">2014</td>
<td align="center" valign="top">10,900</td>
<td align="center" valign="top">52,059</td>
<td align="center" valign="top">23,177</td>
<td align="center" valign="top">47,635</td>
<td align="center" valign="top">13,145</td>
<td align="center" valign="top">14,371</td>
<td align="center" valign="top">6,740</td>
<td align="center" valign="top">5,901</td>
<td align="center" valign="top">173,928</td>
<td align="center" valign="top">9,488</td>
</tr>
<tr>
<td align="left" valign="middle">2015</td>
<td align="center" valign="top">9,955</td>
<td align="center" valign="top">53,536</td>
<td align="center" valign="top">23,543</td>
<td align="center" valign="top">48,374</td>
<td align="center" valign="top">13,170</td>
<td align="center" valign="top">15,221</td>
<td align="center" valign="top">7,853</td>
<td align="center" valign="top">7,010</td>
<td align="center" valign="top">178,662</td>
<td align="center" valign="top">10,747</td>
</tr>
<tr>
<td align="left" valign="middle">2016</td>
<td align="center" valign="top">10,188</td>
<td align="center" valign="top">55,875</td>
<td align="center" valign="top">24,321</td>
<td align="center" valign="top">51,692</td>
<td align="center" valign="top">14,008</td>
<td align="center" valign="top">17,231</td>
<td align="center" valign="top">9,269</td>
<td align="center" valign="top">8,065</td>
<td align="center" valign="top">190,649</td>
<td align="center" valign="top">10,893</td>
</tr>
<tr>
<td align="left" valign="middle">2017</td>
<td align="center" valign="top">11,283</td>
<td align="center" valign="top">56,064</td>
<td align="center" valign="top">27,165</td>
<td align="center" valign="top">59,431</td>
<td align="center" valign="top">13,949</td>
<td align="center" valign="top">20,530</td>
<td align="center" valign="top">11,445</td>
<td align="center" valign="top">8,899</td>
<td align="center" valign="top">208,766</td>
<td align="center" valign="top">12,759</td>
</tr>
<tr>
<td align="left" valign="middle">2018</td>
<td align="center" valign="top">12,461</td>
<td align="center" valign="top">61,434</td>
<td align="center" valign="top">31,657</td>
<td align="center" valign="top">68,391</td>
<td align="center" valign="top">15,779</td>
<td align="center" valign="top">24,938</td>
<td align="center" valign="top">15,020</td>
<td align="center" valign="top">11,399</td>
<td align="center" valign="top">241,079</td>
<td align="center" valign="top">17,826</td>
</tr>
<tr>
<td align="left" valign="middle">2019</td>
<td align="center" valign="top">12,751</td>
<td align="center" valign="top">63,372</td>
<td align="center" valign="top">36,383</td>
<td align="center" valign="top">74,503</td>
<td align="center" valign="top">18,221</td>
<td align="center" valign="top">29,265</td>
<td align="center" valign="top">18,112</td>
<td align="center" valign="top">14,245</td>
<td align="center" valign="top">266,852</td>
<td align="center" valign="top">19,064</td>
</tr>
<tr>
<td align="left" valign="middle">2020</td>
<td align="center" valign="top">13,306</td>
<td align="center" valign="top">66,612</td>
<td align="center" valign="top">39,679</td>
<td align="center" valign="top">79,237</td>
<td align="center" valign="top">19,515</td>
<td align="center" valign="top">34,461</td>
<td align="center" valign="top">22,049</td>
<td align="center" valign="top">16,487</td>
<td align="center" valign="top">291,346</td>
<td align="center" valign="top">20,016</td>
</tr>
<tr>
<td align="left" valign="middle">2021</td>
<td align="center" valign="top">12,866</td>
<td align="center" valign="top">67,103</td>
<td align="center" valign="top">40,293</td>
<td align="center" valign="top">84,580</td>
<td align="center" valign="top">21,110</td>
<td align="center" valign="top">38,781</td>
<td align="center" valign="top">25,589</td>
<td align="center" valign="top">18,575</td>
<td align="center" valign="top">308,897</td>
<td align="center" valign="top">22,372</td>
</tr>
<tr>
<td align="left" valign="middle">2022</td>
<td align="center" valign="top">12,355</td>
<td align="center" valign="top">65,924</td>
<td align="center" valign="top">43,195</td>
<td align="center" valign="top">88,537</td>
<td align="center" valign="top">23,190</td>
<td align="center" valign="top">43,163</td>
<td align="center" valign="top">27,086</td>
<td align="center" valign="top">20,557</td>
<td align="center" valign="top">324,007</td>
<td align="center" valign="top">23,506</td>
</tr>
<tr>
<td align="left" valign="middle">2023</td>
<td align="center" valign="top">12,445</td>
<td align="center" valign="top">67,395</td>
<td align="center" valign="top">46,618</td>
<td align="center" valign="top">93,350</td>
<td align="center" valign="top">24,649</td>
<td align="center" valign="top">45,360</td>
<td align="center" valign="top">31,127</td>
<td align="center" valign="top">21,700</td>
<td align="center" valign="top">342,644</td>
<td align="center" valign="top">25,575</td>
</tr>
<tr>
<td align="left" valign="middle">Delta in % 2023 vs. 2008</td>
<td align="center" valign="top">&#x2212;47</td>
<td align="center" valign="top">&#x2212;24</td>
<td align="center" valign="top">19</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">39</td>
<td align="center" valign="top">140</td>
<td align="center" valign="top">197</td>
<td align="center" valign="top">159</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="middle">Market share in 2023 (total) in %</td>
<td align="center" valign="top">3</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">25</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">8</td>
<td align="center" valign="top">6</td>
<td align="center" valign="top">93</td>
<td align="center" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="middle">Market share in 2023 (nephrological strengths in %)</td>
<td align="center" valign="top">4</td>
<td align="center" valign="top">20</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">7</td>
<td align="center" valign="top">13</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">6</td>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>IU, international units.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec12">
<label>3.3</label>
<title>Cost savings and economic impact of epoetin alfa biosimilars</title>
<p>These utilization patterns are closely linked to the economic implications of epoetin alfa adoption, particularly following the introduction of biosimilar epoetin alfa in 2007, the APU decreased consistently over the subsequent 6&#x202F;years (2007&#x2013;2012) for all available products, achieving a significant reduction of 47% (<xref ref-type="table" rid="tab4">Table 4</xref>). From 2013 onwards, the price differences between the originator product and epoetin alfa biosimilars diminished, also due to adaptations of a fixed reference price. The relevant fixed reference price group encloses drugs to treat anemia and includes the molecules Darbepoetin, Erythropoetin (alfa, beta, theta, zeta) and PEG-Erythropoetin (Methoxy-Polyethylenglycol-Epoetin beta). These price developments resulted in cumulative cost-savings of &#x20AC;505,731,202 for the German SHI, encompassing all nephrological strengths of epoetin alfa between 2008 and 2023 (<xref ref-type="fig" rid="fig1">Figure 1</xref>; <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Price development of epoetin alfa from 2007 to 2023: Average ex-factory prices in &#x20AC; of nephrological strengths (1.000&#x2013;10.000&#x202F;IU) per year.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Year</th>
<th align="center" valign="top">Erypo (Janssen) in &#x20AC;</th>
<th align="center" valign="top">Epoetin alfa Hexal (Hexal) in &#x20AC;</th>
<th align="center" valign="top">Abseamed (Medice) in &#x20AC;</th>
<th align="center" valign="top">Binocrit (Sandoz/Hexal) in &#x20AC;</th>
<th align="center" valign="top">Delta in %<break/>Erypo vs. lowest priced biosimilar</th>
<th align="center" valign="top">Price decrease in %<break/>Erypo vs. 2007</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">2007</td>
<td align="char" valign="top" char=".">345.84</td>
<td align="char" valign="top" char=".">242.23&#x002A;</td>
<td align="char" valign="top" char=".">251.12&#x002A;</td>
<td align="char" valign="top" char=".">242.22&#x002A;</td>
<td align="center" valign="top">&#x2212;30</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">2008</td>
<td align="char" valign="top" char=".">287.29</td>
<td align="char" valign="top" char=".">213.61</td>
<td align="char" valign="top" char=".">215.56</td>
<td align="char" valign="top" char=".">213.61</td>
<td align="center" valign="top">&#x2212;26</td>
<td align="center" valign="top">&#x2212;17</td>
</tr>
<tr>
<td align="left" valign="middle">2009</td>
<td align="char" valign="top" char=".">287.39</td>
<td align="char" valign="top" char=".">210.80</td>
<td align="char" valign="top" char=".">210.80</td>
<td align="char" valign="top" char=".">210.80</td>
<td align="center" valign="top">&#x2212;27</td>
<td align="center" valign="top">&#x2212;17</td>
</tr>
<tr>
<td align="left" valign="middle">2010</td>
<td align="char" valign="top" char=".">272.70</td>
<td align="char" valign="top" char=".">208.37</td>
<td align="char" valign="top" char=".">209.93</td>
<td align="char" valign="top" char=".">208.37</td>
<td align="center" valign="top">&#x2212;24</td>
<td align="center" valign="top">&#x2212;21</td>
</tr>
<tr>
<td align="left" valign="middle">2011</td>
<td align="char" valign="top" char=".">206.42</td>
<td align="char" valign="top" char=".">184.32</td>
<td align="char" valign="top" char=".">184.98</td>
<td align="char" valign="top" char=".">184.32</td>
<td align="center" valign="top">&#x2212;11</td>
<td align="center" valign="top">&#x2212;40</td>
</tr>
<tr>
<td align="left" valign="middle">2012</td>
<td align="char" valign="top" char=".">204.41</td>
<td align="char" valign="top" char=".">184.13</td>
<td align="char" valign="top" char=".">184.13</td>
<td align="char" valign="top" char=".">184.13</td>
<td align="center" valign="top">&#x2212;10</td>
<td align="center" valign="top">&#x2212;41</td>
</tr>
<tr>
<td align="left" valign="middle">2013</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.19</td>
<td align="char" valign="top" char=".">182.18</td>
<td align="char" valign="top" char=".">182.19</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x2212;47</td>
</tr>
<tr>
<td align="left" valign="middle">2014</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x2212;47</td>
</tr>
<tr>
<td align="left" valign="middle">2015</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x2212;47</td>
</tr>
<tr>
<td align="left" valign="middle">2016</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x2212;47</td>
</tr>
<tr>
<td align="left" valign="middle">2017</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x2212;47</td>
</tr>
<tr>
<td align="left" valign="middle">2018</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x2212;47</td>
</tr>
<tr>
<td align="left" valign="middle">2019</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="char" valign="top" char=".">182.21</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x2212;47</td>
</tr>
<tr>
<td align="left" valign="middle">2020</td>
<td align="char" valign="top" char=".">181.16</td>
<td align="char" valign="top" char=".">181.15</td>
<td align="char" valign="top" char=".">181.16</td>
<td align="char" valign="top" char=".">181.15</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x2212;48</td>
</tr>
<tr>
<td align="left" valign="middle">2021</td>
<td align="char" valign="top" char=".">180.12</td>
<td align="char" valign="top" char=".">180.10</td>
<td align="char" valign="top" char=".">180.12</td>
<td align="char" valign="top" char=".">180.10</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x2212;48</td>
</tr>
<tr>
<td align="left" valign="middle">2022</td>
<td align="char" valign="top" char=".">176.30</td>
<td align="char" valign="top" char=".">176.29</td>
<td align="char" valign="top" char=".">176.30</td>
<td align="char" valign="top" char=".">176.29</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x2212;49</td>
</tr>
<tr>
<td align="left" valign="middle">2023</td>
<td align="char" valign="top" char=".">172.48</td>
<td align="char" valign="top" char=".">172.48</td>
<td align="char" valign="top" char=".">172.48</td>
<td align="char" valign="top" char=".">172.48</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">&#x2212;50</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;Starting October 2007. IU, international units.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Year-wise cost savings on German statutory health insurance for epoetin alfa (1,000&#x2013;10,000 IU) comparing market value (APU_fixed) and market value (list price_APU). APU, Abgabepreis pharmazeutisches Unternehmen; IU, international units.</p>
</caption>
<graphic xlink:href="fpubh-13-1667315-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Chart A is a bar graph showing cost savings in euros from 2008 to 2023, with total savings of &#x20AC;505,731,202. The highest savings, &#x20AC;58,988,782, occurred in 2023, exceeding the mean of &#x20AC;31,608,200. Chart B is a stacked bar chart illustrating the same cost savings, divided by IU (International Units) categories from one thousand to ten thousand. The proportions of each IU category are marked within each bar.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec13">
<label>3.4</label>
<title>Potency-specific contributions to cost savings</title>
<p>To further delineate the sources of these economic effects, an analysis of cost savings per drug strength revealed that the nephrological strength of a 4,000&#x202F;IU formulation of epoetin alfa contributed the most to overall savings, amounting to &#x20AC;143,720,363 and corresponding to 28% savings from 2008 to 2023 (<xref ref-type="table" rid="tab5">Table 5</xref>). The disproportionately high contribution of the strength of 4,000&#x202F;IU reflects its dominant role in clinical practice and the associated economic benefits stemming from its widespread adoption.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Total cost-savings of epoetin alfa after biosimilar market entry (2008&#x2013;2023).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Strength in IU</th>
<th align="center" valign="top">Savings in &#x20AC;</th>
<th align="center" valign="top">Savings in %</th>
<th align="center" valign="top">Savings in %<break/><italic>Base total epoetin alfa</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" style="background-color:#d9d9d9" colspan="4">Nephrology</td>
</tr>
<tr>
<td align="left" valign="top">1,000</td>
<td align="center" valign="top">6,456,207</td>
<td align="center" valign="top">1</td>
<td align="center" valign="top">1</td>
</tr>
<tr>
<td align="left" valign="top">2000</td>
<td align="center" valign="top">62,909,879</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">3,000</td>
<td align="center" valign="top">50,397,368</td>
<td align="center" valign="top">10</td>
<td align="center" valign="top">8</td>
</tr>
<tr>
<td align="left" valign="top">4,000</td>
<td align="center" valign="top">143,720,363</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">22</td>
</tr>
<tr>
<td align="left" valign="top">5,000</td>
<td align="center" valign="top">44,416,854</td>
<td align="center" valign="top">9</td>
<td align="center" valign="top">7</td>
</tr>
<tr>
<td align="left" valign="top">6,000</td>
<td align="center" valign="top">78,171,412</td>
<td align="center" valign="top">15</td>
<td align="center" valign="top">12</td>
</tr>
<tr>
<td align="left" valign="top">8,000</td>
<td align="center" valign="top">60,815,383</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">10</td>
</tr>
<tr>
<td align="left" valign="top">10,000</td>
<td align="center" valign="top">58,843,735</td>
<td align="center" valign="top">12</td>
<td align="center" valign="top">9</td>
</tr>
<tr>
<td align="left" valign="top" style="background-color:#d9d9d9" colspan="4">Oncology</td>
</tr>
<tr>
<td align="left" valign="top">20,000</td>
<td align="center" valign="top">14,558,984</td>
<td align="center" valign="top">11</td>
<td align="center" valign="top">2</td>
</tr>
<tr>
<td align="left" valign="top">30,000</td>
<td align="center" valign="top">35,758,530</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">6</td>
</tr>
<tr>
<td align="left" valign="top">40,000</td>
<td align="center" valign="top">82,723,532</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">13</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>IU, international units.</p>
</table-wrap-foot>
</table-wrap>
<p>A comparison of the cost saving effects of defined nephrological strengths and oncological strengths revealed that nephrological strengths account with a share of 79% of total savings, representing the largest impact.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec14">
<label>4</label>
<title>Discussion</title>
<sec id="sec15">
<label>4.1</label>
<title>Background, key findings and interpretation</title>
<p>The 8th iteration of the &#x2018;Impact of Biosimilar Competition in Europe&#x2018;(IQVIA observation 2022) has demonstrated a notable increase in the utilization of biosimilar products and market competition in Europe during the present decade (<xref ref-type="bibr" rid="ref18">18</xref>). Biosimilars play a vital role in the European healthcare system, helping to manage healthcare costs by generating savings for payers, providing room for innovation, and increasing patient access to biologic therapies (<xref ref-type="bibr" rid="ref18">18</xref>). In Germany, the biopharmaceutical market has demonstrated robust growth in gross sales since 2006 with biosimilar products inducing the highest market share (<xref ref-type="bibr" rid="ref19">19</xref>).</p>
<p>Our analysis of unit volume data from 2008 to 2023 of epoetin alfa biosimilars from ABDATA and IQVIA Pharmascope databases is the first analysis investigating the economic impact of the introduction of epoetin alfa biosimilars to the German pharmaceutical market. This analysis revealed that the epoetin alfa products have the highest market share compared to other epoetin derivatives, indicating the highest preference and utilization in Germany. To the best of our knowledge, we are the first to report the overtime improvement of market dynamics of epoetin alfa derivatives in the German healthcare system. We observed a significant price development, with a robust decline in the ex-factory price of overall epoetin in nephrological strengths over a period of 6&#x202F;years (2007 to 2012). Over 15&#x202F;years this has been converted to a cumulative cost-saving of &#x20AC;505,731,202 for the German SHI. Such financial relief is attributed to increased competition among biosimilars, which drives prices down and enhances access to essential therapies for patients.</p>
</sec>
<sec id="sec16">
<label>4.2</label>
<title>Comparison with previous studies</title>
<p>A similar cost-saving analysis on epoetin alfa biosimilars in European Union G5 countries by Aapro <italic>et al.</italic> revealed that the average treatment costs associated with epoetin alfa biosimilars are significantly lower than those of the originator products. Their study showed that the costs over a 15-week treatment period amounted to &#x20AC;4,643 for a dose of 30,000 IU and &#x20AC;6,178 for 40,000 IU of biosimilar epoetin alfa. In contrast, treatment with the originator epoetin alfa averaged around &#x20AC;7,168, while epoetin beta and darbepoetin alfa incurred higher costs of &#x20AC;7,389 and &#x20AC;8,299 (once weekly) or &#x20AC;9,221 (once every 3&#x202F;weeks), respectively (<xref ref-type="bibr" rid="ref20">20</xref>). Furthermore, H&#x00F6;rbrand <italic>et al.</italic> reported on cost savings of &#x20AC;2.23 per defined daily dose when erythropoiesis stimulating agent (ESA) biosimilars were preferred over originator products in patients suffering from renal anemia (<xref ref-type="bibr" rid="ref21">21</xref>). A population-based study in a comparable patient population reported similar consumption rates of biosimilar and originator ESAs (<xref ref-type="bibr" rid="ref22">22</xref>), which appears to contrast our findings. Nevertheless, despite the equivalent utilization of ESA biosimilars and originator products observed by H&#x00F6;rbrand et al., particularly within the nephrological setting, the demonstrated economic benefit of prescribing biosimilars over originator products or other treatment options underscores our findings regarding epoetin alfa.</p>
</sec>
<sec id="sec17">
<label>4.3</label>
<title>Broader economic implications and policy perspectives</title>
<p>As market dynamics continue to evolve, it is anticipated that further cost reductions will emerge as biosimilars gain broader acceptance and utilization within healthcare systems (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>). Competitive pricing strategies employed by manufacturers, alongside potential rebates and discounts defined by healthcare providers within open house contracts, are likely to contribute to sustained economic benefits over time.</p>
<p>In Germany, pricing developments in the ESA market were also shaped by the revision of the fixed reference price in 2013, including epoetin alfa, epoetin beta, epoetin theta, epoetin zeta, PEG-Erythropoetin and Darbepoetin. Under this system, the reference price is determined by list price differentials and the market share of individual suppliers&#x2014;meaning that a higher market share of lower-priced products leads to a lower overall reimbursement level. To avoid additional patient co-payments, manufacturers with higher list prices must align their prices with the defined reimbursement level, which in turn drives further price reductions and additional cost savings for the healthcare system.</p>
<p>The utilization of epoetin alfa biosimilars in Germany indicates a significant progression in the delivery of cost-effective healthcare for patients requiring ESAs. The substantial cost-savings observed when comparing biosimilar treatment to originator products not only alleviate financial pressures on healthcare systems but also enhance patient access to necessary therapies. It is therefore essential to continue monitoring of biosimilar utilization and pricing strategies in order to maximize these economic advantages in the future.</p>
</sec>
<sec id="sec18">
<label>4.4</label>
<title>Limitations</title>
<p>A major strength of this budget impact analysis is the incorporation of reliable data sources to support the cost-saving assessment. However, it should be noted that the calculations based on the ex-factory price do not reflect the actual costs within the German SHI system. A proportion of the market, notably in the dialysis sector, is procured through centralized purchasing mechanisms and invoiced outside the purview of drug price regulation (approximately half of the volume based on epoetin alfa). Therefore, the market for epoetin alfa biosimilars is generally underestimated within this study. Moreover, the use of ex-factory prices may not fully provide an adequate basis for cost calculation, since reimbursement also encompasses costs associated with trade levels, such as wholesalers and pharmacies. In addition, the estimation of cost savings did not account for possible price fluctuations prior biosimilar market entry. As historical price data for individual PZNs were only available from 2007 onwards, pre-biosimilar pricing dynamics could not be examined. Therefore, potential fluctuations in drug prices unrelated to biosimilar competition cannot be entirely excluded.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec19">
<label>5</label>
<title>Conclusion</title>
<p>In conclusion, the introduction of epoetin alfa biosimilars has had a significant economic impact on the German healthcare system, as reflected in their sustained market uptake, strength-specific utilization patterns, and associated cost reductions since 2007. These findings highlight the contribution of biosimilar competition to price efficiency and the long-term sustainability of pharmaceutical expenditures within the statutory health insurance system. Moreover, the results underscore the policy relevance of biosimilars in supporting equitable access to biologic therapies and efficient allocation of healthcare resources.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec20">
<title>Data availability statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: The data that has been analysed is not subject to public disclosure. However, these data were obtained from IQVIA and ABDATA by Sandoz/Hexal. Requests to access these datasets should be directed to Ilka Raitner, <email xlink:href="mailto:ilka.raitner@sandoz.com">ilka.raitner@sandoz.com</email>.</p>
</sec>
<sec sec-type="author-contributions" id="sec21">
<title>Author contributions</title>
<p>IR: Formal analysis, Writing &#x2013; review &#x0026; editing, Conceptualization. BM: Formal analysis, Writing &#x2013; review &#x0026; editing. AV: Writing &#x2013; original draft. PB: Writing &#x2013; original draft, Formal analysis. N-HN: Writing &#x2013; review &#x0026; editing. MM: Writing &#x2013; review &#x0026; editing. LZ: Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec22">
<title>Conflict of interest</title>
<p>IR, BM, NHN and MM are employees of Sandoz Deutschland / Hexal AG. AV, LZ and PB are employees of the Institute for Pharmacology and Preventive Medicine.</p>
</sec>
<sec sec-type="ai-statement" id="sec23">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was 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 sec-type="disclaimer" id="sec24">
<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 sec-type="supplementary-material" id="sec25">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2025.1667315/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2025.1667315/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><collab id="coll1">Reimbursement of Phramaceuticals in Germany</collab></person-group>. (<year>2022</year>). Available online at: <ext-link xlink:href="https://www.iges.com/e15094/e15095/e15096/e17469/IGES_Reimbursement_Pharmaceuticals_Germany_2020_2021_WEB_ger.pdf" ext-link-type="uri">https://www.iges.com/e15094/e15095/e15096/e17469/IGES_Reimbursement_Pharmaceuticals_Germany_2020_2021_WEB_ger.pdf</ext-link>. (Accessed October 02, 2025).</mixed-citation></ref>
<ref id="ref2"><label>2.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><collab id="coll2">Health FMo</collab></person-group>. Statutory health insurance (SHI). (<year>2025</year>). Available online at: <ext-link xlink:href="https://www.bundesgesundheitsministerium.de/en/themen/krankenversicherung/online-ratgeber-krankenversicherung/krankenversicherung/statutory-health-insurance-shi.html#:~:text=The%20SHI%20funds%20operate%20based,elderly%2C%20between%20singles%20and%20families" ext-link-type="uri">https://www.bundesgesundheitsministerium.de/en/themen/krankenversicherung/online-ratgeber-krankenversicherung/krankenversicherung/statutory-health-insurance-shi.html#:~:text=The%20SHI%20funds%20operate%20based,elderly%2C%20between%20singles%20and%20families</ext-link>. (Accessed April 07, 2025).</mixed-citation></ref>
<ref id="ref3"><label>3.</label><mixed-citation publication-type="book"><person-group person-group-type="author"><collab id="coll3">Gesundheit BF</collab></person-group>. <source>Gesetz zur Neuordnung des Arzneimittelmarktes in der gesetzlichen Krankenversicherung</source> (<publisher-loc>Berlin, Germany</publisher-loc>: Arzneimittelmarktneuordnungsgesetz &#x2013; AMNOG) <publisher-name>BGBl I</publisher-name> (<year>2010</year>). <fpage>S.2262</fpage> p.</mixed-citation></ref>
<ref id="ref4"><label>4.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Ludwig</surname><given-names>W-D</given-names></name> <name><surname>M&#x00FC;hlbauer</surname><given-names>B</given-names></name></person-group>. <source>Arzneiverordnungen 2021 im &#x00DC;berblick</source>. <publisher-loc>Berlin, Heidelberg, Germany</publisher-loc>: <publisher-name>Springer</publisher-name>. Arzneiverordnungs-Report 2022. (<year>2022</year>). p. <fpage>3</fpage>&#x2013;<lpage>27</lpage>.</mixed-citation></ref>
<ref id="ref5"><label>5.</label><mixed-citation publication-type="book"><person-group person-group-type="author"><collab id="coll4">GmbH L-F</collab></person-group>. <source>Lauer-Taxe&#x00AE; &#x2013; Arzneimittelverzeichnis f&#x00FC;r Deutschland</source>. <publisher-loc>Eschborn</publisher-loc>: (<year>2022</year>). <publisher-name>Lauer-Fischer GmbH</publisher-name>.</mixed-citation></ref>
<ref id="ref6"><label>6.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><collab id="coll5">Devices FIfDaM</collab></person-group>. List of reference prices for medicinal products. Available online at: <ext-link xlink:href="https://www.bfarm.de/EN/Medicinal-products/Information-on-medicinal-products/Reference-Pricing/_node.html" ext-link-type="uri">https://www.bfarm.de/EN/Medicinal-products/Information-on-medicinal-products/Reference-Pricing/_node.html</ext-link> (Accessed November 07, 2025).</mixed-citation></ref>
<ref id="ref7"><label>7.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gasc&#x00F3;n</surname><given-names>P</given-names></name> <name><surname>Goldsmith</surname><given-names>D</given-names></name> <name><surname>Aapro</surname><given-names>M</given-names></name> <name><surname>Dellanna</surname><given-names>F</given-names></name> <name><surname>Esmael</surname><given-names>A</given-names></name> <name><surname>Zabransky</surname><given-names>M</given-names></name></person-group>. <article-title>Epoetin alfa biosimilar (HX575): a review of 15 years' post-approval clinical experience</article-title>. <source>Crit Rev Oncol Hematol</source>. (<year>2023</year>) <volume>181</volume>:<fpage>103894</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.critrevonc.2022.103894</pub-id>, <pub-id pub-id-type="pmid">36481307</pub-id></mixed-citation></ref>
<ref id="ref8"><label>8.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><collab id="coll6">Agency EM</collab></person-group>. Biosimilar medicines: Overview. (<year>n.d.</year>). Available online at: <ext-link xlink:href="https://www.ema.europa.eu/en/human-regulatory-overview/biosimilar-medicines-overview" ext-link-type="uri">https://www.ema.europa.eu/en/human-regulatory-overview/biosimilar-medicines-overview</ext-link> (Accessed March 27, 2025).</mixed-citation></ref>
<ref id="ref9"><label>9.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><collab id="coll7">Comission E</collab></person-group>. <source>Marketing authorisation holders for EPREX/ERYPO</source>. (<year>1998</year>). <publisher-loc>Brussels, Belgium</publisher-loc>: <publisher-name>European Comission</publisher-name>.</mixed-citation></ref>
<ref id="ref10"><label>10.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><collab id="coll8">Agency EM</collab></person-group> <source>Epoetin Alfa Hexal</source> (<year>2024</year>). <publisher-loc>Amsterdam, Netherlands</publisher-loc>: <publisher-name>European Medicines Agency</publisher-name>.</mixed-citation></ref>
<ref id="ref11"><label>11.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><collab id="coll9">Use EMAEoMfH</collab></person-group>. <source>Assessment report for EPOETIN ALFA HEXAL</source> (<year>2008</year>). <publisher-loc>Amsterdam, Netherlands</publisher-loc>: <publisher-name>European Medicines Agency</publisher-name>.</mixed-citation></ref>
<ref id="ref12"><label>12.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><collab id="coll10">Agency EM</collab></person-group>. <source>Abseamed: EPAR - product information. 2024, May 23</source>, (<year>2024</year>). <publisher-loc>Amsterdam, Netherlands</publisher-loc>: <publisher-name>European Medicines Agency</publisher-name>.</mixed-citation></ref>
<ref id="ref13"><label>13.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><collab id="coll11">Agency EM</collab></person-group> <source>Binocrit: EPAR - product information</source> (<year>2024</year>). <publisher-loc>Amsterdam, Netherlands</publisher-loc>: <publisher-name>European Medicines Agency</publisher-name>.</mixed-citation></ref>
<ref id="ref14"><label>14.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Weir</surname><given-names>MR</given-names></name> <name><surname>Pergola</surname><given-names>PE</given-names></name> <name><surname>Agarwal</surname><given-names>R</given-names></name> <name><surname>Fink</surname><given-names>JC</given-names></name> <name><surname>Kopyt</surname><given-names>NP</given-names></name> <name><surname>Singh</surname><given-names>AK</given-names></name> <etal/></person-group>. <article-title>A comparison of the safety and efficacy of HX575 (Epoetin Alfa proposed biosimilar) with Epoetin Alfa in patients with end-stage renal disease</article-title>. <source>Am J Nephrol</source>. (<year>2017</year>) <volume>46</volume>:<fpage>364</fpage>&#x2013;<lpage>70</lpage>. doi: <pub-id pub-id-type="doi">10.1159/000481736</pub-id>, <pub-id pub-id-type="pmid">29084409</pub-id></mixed-citation></ref>
<ref id="ref15"><label>15.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dellanna</surname><given-names>F</given-names></name> <name><surname>Goldsmith</surname><given-names>D</given-names></name> <name><surname>Krendyukov</surname><given-names>A</given-names></name> <name><surname>Seidl</surname><given-names>A</given-names></name> <name><surname>H&#x00F6;bel</surname><given-names>N</given-names></name> <name><surname>Combe</surname><given-names>C</given-names></name></person-group>. <article-title>HX575: established biosimilarity in the treatment of renal anemia and 10 years of clinical experience</article-title>. <source>Drug Des Devel Ther</source>. (<year>2018</year>) <volume>12</volume>:<fpage>9</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.2147/dddt.S146147</pub-id>, <pub-id pub-id-type="pmid">29296077</pub-id></mixed-citation></ref>
<ref id="ref16"><label>16.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>H&#x00F6;rl</surname><given-names>WH</given-names></name> <name><surname>Locatelli</surname><given-names>F</given-names></name> <name><surname>Haag-Weber</surname><given-names>M</given-names></name> <name><surname>Ode</surname><given-names>M</given-names></name> <name><surname>Roth</surname><given-names>K</given-names></name></person-group>. <article-title>Prospective multicenter study of HX575 (biosimilar epoetin-&#x03B1;) in patients with chronic kidney disease applying a target hemoglobin of 10&#x2013;12 g/dl</article-title>. <source>Clin Nephrol</source>. (<year>2012</year>) <volume>78</volume>:<fpage>24</fpage>&#x2013;<lpage>32</lpage>. doi: <pub-id pub-id-type="doi">10.5414/cn107440</pub-id>, <pub-id pub-id-type="pmid">22732334</pub-id></mixed-citation></ref>
<ref id="ref17"><label>17.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Deutschland</surname><given-names>B</given-names></name></person-group>. <source>Arzneimittelpreisverordnung (AMPreisV)</source>. (<year>1980</year>). <publisher-loc>Berlin, Germany</publisher-loc>: <publisher-loc>Bundesrepublik Deutschland</publisher-loc>.</mixed-citation></ref>
<ref id="ref18"><label>18.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Troein</surname><given-names>P</given-names></name> <name><surname>Newton</surname><given-names>M</given-names></name> <name><surname>Stoddart</surname><given-names>K</given-names></name> <name><surname>Arias</surname><given-names>A</given-names></name></person-group> <source>The impact of biosimilar competition in Europe - white paper</source> (<year>2022</year>). <publisher-loc>Durham, North Carolina, USA</publisher-loc>: <publisher-name>IQVIA Holdings Inc</publisher-name>.</mixed-citation></ref>
<ref id="ref19"><label>19.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><collab id="coll12">IQVIA</collab></person-group> <source>Fokus Biosimilar- Trends and Entwicklungen im deutschen Biopharmazeutika-Markt im Jahr 2023</source>. (<year>2024</year>). <publisher-loc>Frankfurt am Main, Germany</publisher-loc>: <publisher-name>IQVIA Commercial GmbH &#x0026; Co. OHG</publisher-name>.</mixed-citation></ref>
<ref id="ref20"><label>20.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Aapro</surname><given-names>M</given-names></name> <name><surname>Cornes</surname><given-names>P</given-names></name> <name><surname>Sun</surname><given-names>D</given-names></name> <name><surname>Abraham</surname><given-names>I</given-names></name></person-group>. <article-title>Comparative cost efficiency across the European G5 countries of originators and a biosimilar erythropoiesis-stimulating agent to manage chemotherapy-induced anemia in patients with cancer</article-title>. <source>Ther Adv Med Oncol</source>. (<year>2012</year>) <volume>4</volume>:<fpage>95</fpage>&#x2013;<lpage>105</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1758834012444499</pub-id>, <pub-id pub-id-type="pmid">22590483</pub-id></mixed-citation></ref>
<ref id="ref21"><label>21.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>H&#x00F6;rbrand</surname><given-names>F</given-names></name> <name><surname>Rottenkolber</surname><given-names>D</given-names></name> <name><surname>Fischaleck</surname><given-names>J</given-names></name> <name><surname>Hasford</surname><given-names>J</given-names></name></person-group>. <article-title>Erythropoietin-induced treatment costs in patients suffering from renal Anemia &#x2013; a comparison between biosimilar and originator drugs</article-title>. <source>Gesundheitswesen</source>. (<year>2014</year>) <volume>76</volume>:<fpage>e79</fpage>&#x2013;<lpage>84</lpage>. doi: <pub-id pub-id-type="doi">10.1055/s-0033-1361111</pub-id>, <pub-id pub-id-type="pmid">24493578</pub-id></mixed-citation></ref>
<ref id="ref22"><label>22.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>H&#x00F6;rbrand</surname><given-names>F</given-names></name> <name><surname>Bramlage</surname><given-names>P</given-names></name> <name><surname>Fischaleck</surname><given-names>J</given-names></name> <name><surname>Hasford</surname><given-names>J</given-names></name> <name><surname>Brunkhorst</surname><given-names>R</given-names></name></person-group>. <article-title>A population-based study comparing biosimilar versus originator erythropoiesis-stimulating agent consumption in 6,117 patients with renal anaemia</article-title>. <source>Eur J Clin Pharmacol</source>. (<year>2013</year>) <volume>69</volume>:<fpage>929</fpage>&#x2013;<lpage>36</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00228-012-1412-5</pub-id>, <pub-id pub-id-type="pmid">23052412</pub-id></mixed-citation></ref>
</ref-list>
<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3071976/overview">Yanfei Zhang</ext-link>, GE Healthcare, China</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1101008/overview">Fernanda Machado</ext-link>, Federal University of Rio de Janeiro, Brazil</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3145769/overview">Ali Oun Obaidi</ext-link>, University of Warith Al-Anbiyaa, Iraq</p>
</fn>
</fn-group>
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</article>