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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2023.1080998</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Comparative cardiotoxicity risk of pembrolizumab versus nivolumab in cancer patients undergoing immune checkpoint inhibitor therapy: A meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ndjana Lessomo</surname>
<given-names>Fabrice Yves</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2070977"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Zhiquan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://review.frontiersin.org/review/1080998/16/2254943#/tab/History"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mukuka</surname>
<given-names>Chishimba</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Cardiovascular Internal Medicine Department, Zhongnan Hospital of Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Internal Medicine Department, MANSA General Hospital</institution>, <addr-line>Mansa, Luapula</addr-line>, <country>Zambia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Shusen Sun, Western New England University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Bhanu Prasad Venkatesulu, Loyola University Chicago, United States; Houjuan Zuo, Huazhong University of Science and Technology, China; Tamer M. A. Mohamed, University of Louisville, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zhiquan Wang, <email xlink:href="mailto:Wangzhiquan1031@whu.edu.cn">Wangzhiquan1031@whu.edu.cn</email>, <email xlink:href="mailto:wangzhiquan1031@126.com">wangzhiquan1031@126.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Cardio-Oncology, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>13</volume>
<elocation-id>1080998</elocation-id>
<history>
<date date-type="received">
<day>26</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Ndjana Lessomo, Wang and Mukuka</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Ndjana Lessomo, Wang and Mukuka</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>Recently, several researchers have reported the incidence of cardiac-related toxicities occurring with nivolumab (Opdivo) and pembrolizumab (Keytruda). There is still a need for balance between oncology treatment efficacy and reduction of cardiotoxicity burden in immune checkpoint inhibitor (ICI)-treated patients. Thus, the primary aim was to determine whether pembrolizumab or nivolumab would present with a greater risk for cardiotoxicity reports.</p>
</sec>
<sec>
<title>Materials and methods</title>
<p>This meta-analysis was performed with respect to the MOOSE reporting guidelines. Studies were retrieved by searching PubMed, Embase, and Google Scholar; the search terms were Keytruda or Pembrolizumab, PD1 inhibitors, anti-PD1 drugs, Nivolumab or Opdivo, and cardiotoxicities or cardiac toxicity. The study was restricted to original articles investigating ICI-induced cardiac immune-related adverse events (irAEs). The targeted population was cancer patients treated with either pembrolizumab or nivolumab monotherapy, of which those with records of any cardiac events following the therapy were labeled as events. The measures used to achieve the comparison were descriptive proportions, probabilities, and meta-analysis pooled odds ratios (ORs).</p>
</sec>
<sec>
<title>Results</title>
<p>Fifteen studies were included in this meta-analysis. Nivolumab accounted for 55.7% cardiotoxicity and pembrolizumab, for 27.31% (P = 0.027). The meta-analysis was based on the Mantel&#x2013;Haenszel method, and the random-effect model yielded a pooled OR = 0.73 (95% CI [0.43&#x2013;1.23] P = 0.24), with considerable heterogeneity (I<sup>2</sup> = 99% P = 0). Hence, the difference in cardiotoxicity odds risk between pembrolizumab and nivolumab was not statistically significant. On subgroup analysis based on cardiotoxicity type, the &#x201c;myocarditis&#x201d; subgroup in which there was no statistical heterogeneity was associated with a significant cardiotoxicity risk increase with pembrolizumab (OR = 1.30 [1.07;1.59], P&lt; 0.05; I<sup>2</sup> = 0%, Ph = 0.4).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>To our knowledge, this is the first meta-analysis to compare the cardiotoxicity potentials of nivolumab and pembrolizumab. In contrast to previous reports, the overall findings here demonstrated that nivolumab-induced cardiotoxicity was more commonly reported in the literature than pembrolizumab; however, myocarditis seemed more likely to occur with pembrolizumab therapy.</p>
</sec>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<graphic xlink:href="fonc-13-1080998-g004.tif" position="anchor"/>
</p>
</abstract>
<kwd-group>
<kwd>cardiotoxicity</kwd>
<kwd>meta-analysis</kwd>
<kwd>nivolumab</kwd>
<kwd>pembrolizumab</kwd>
<kwd>risk</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="2"/>
<ref-count count="52"/>
<page-count count="11"/>
<word-count count="5677"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<label>1</label>
<title>Background</title>
<p>The World Health Organization&#x2019;s most recent data from 2021 has shown that cancer in general accounted for around 2 million of the nearly 10 million deaths worldwide (<xref ref-type="bibr" rid="B1">1</xref>). Therefore, it might be viewed as a significant health burden that can be reduced through early detection, precise diagnosis, and improved management and care. However, the pharmaceutical agents used to treat cancer, either alone or in combination therapy, have been linked to the emergence of toxicities affecting several vital organs, including the heart and vessels. In the growing field of cardio-oncology, which serves as a link between cardiologists and oncologists, the impact of cancer treatment on the heart and the management of cardiotoxicity are the main topics of interest (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). New therapeutic agents have emerged over the past decade to improve cancer treatment and lessen the toxic side effects, including immune checkpoint inhibitors (ICIs), a special type of immunotherapy subclass whose cardiotoxicity potential was found to be lower than that of conventional chemotherapeutic drugs (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>The development of these agents has been a revolutionary milestone that was associated with remarkable benefits and resulted in long-lasting tumor responses. They are now widely accepted as a key component of therapeutic strategies in cancer management (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). The ICI subclasses include monoclonal antibodies that block programmed cell death receptors or their ligand (PD-1/PD-L1) and cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4). PD-1, PD-L1, and CTLA-4 immune checkpoints are markedly expressed in cancer cells and contribute to the inhibition of T-cell activation and are thought to represent one of many tumoral adaptive responses to escape from the immune system (<xref ref-type="bibr" rid="B6">6</xref>). The first successful use of CTLA-ICI therapy on mice was reported in 1996; then, in 2000, the first human CTLA-4 ICI, i.e., IPILUMAB, was introduced that got FDA approval in 2011 (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). In 2006, nivolumab became the first PD1 ICI used in patients and also the first to obtain FDA approval in 2014 for melanoma (<xref ref-type="bibr" rid="B9">9</xref>) followed by pembrolizumab, another PD1 ICI (<xref ref-type="bibr" rid="B9">9</xref>). Nevertheless, their use also led to increased occurrences of different types of side effects (irAE), characterized by autoimmune reactions in various tissues that were rare but had serious side effects on the heart (<xref ref-type="bibr" rid="B10">10</xref>). In recent years, several studies have consistently reported the incidence of cardiac-related toxicities such as myocarditis, athero-cardiovascular disease, and heart failure in the setting of PD1 ICI therapy among cancer patients (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>The possible theories explaining the rationale of the occurrence of cardiac adverse events with ICI therapy among cancer patients have previously been explored in experimental animal models. It was found that PD1 and PDL1 upregulation had a cardioprotective role for cardiomyocytes; therefore, their blockades or inhibition with PD1 ICI would favor cardiomyocyte damage. Many research papers also reported that there can be an increased likelihood of rare but aggressive cardiotoxic events associated with the use of the PD1 inhibitor subclass of ICI compared with other ICIs. However, because PD1 ICI drugs were found to be safer in terms of the occurrence of other high-grade iRAes, they are being more frequently used than the rest. This gave rise to the need for establishing a balance between this novel oncology treatment efficacy and the burden of drug-adverse cardiac effects among treated patients. However, to our knowledge, no studies have yet been published directly to compare the risk of cardiotoxicity events between nivolumab and pembrolizumab, the two most commonly encountered PD1 ICI drugs used in cancer management. Logically, identification of the drug with a higher tendency for cardiac toxicities than others would be essential to helping specialist caregivers to select the better alternative for patients, taking into account both efficacy and cardiotoxicity indexes in their management and thereby possibly lessening the burden of PD1 ICI-induced cardiotoxicity.</p>
<sec id="s1_1">
<label>1.1</label>
<title>Objectives</title>
<p>The primary aim of this study was to determine by means of a meta-analysis whether pembrolizumab or nivolumab would be associated with increased cardiotoxicity risk.</p>
</sec>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<p>This meta-analysis was conducted in accordance with the MOOSE reporting guidelines (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<sec id="s2_1">
<label>2.1</label>
<title>Types of participants</title>
<p>Patients with cancer who were receiving ICI treatment and whose cancer characteristics met the criteria for either pembrolizumab or nivolumab monotherapy, or both, were considered, and those who reported any cardiac pathologies after the start of monotherapy were categorized as events (cases).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Search methods for identification of studies</title>
<p>Relevant literature was obtained by searching PubMed, Embase, and Google Scholar, and an advanced search tool was used to restrict results to only human studies published between 2016 and 1/10/2022. The reference lists of some results were manually retrieved and screened to identify any study that can meet the inclusion criteria.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Electronic searches</title>
<p>All electronic searches were made on the Google Chrome version 105.0.5195.127 software.</p>
<p>The search entry terms were as follows: Keytruda or Pembrolizumab; PD1 inhibitors; anti-PD1 drugs; Nivolumab or Opdivo; cardiotoxicities or cardiac toxicity; and toxicities.</p>
<p>Our initial search strategy on PubMed was (((Keytruda) OR (pembrolizumab)) AND ((cardiotoxicities) OR (cardiac toxicity))) AND (((Opdivo) AND (Nivolumab)) AND ((cardiotoxicities) OR (cardiac toxicity))), which yielded few results. Therefore, another search strategy was implemented using (immune checkpoint inhibitors) AND (cardiotoxicity), which produced more results and was replicated in Embase and Google Scholar as well.</p>
<p>Reports containing the search terms were screened based on the relevance of their title and abstract; eligibility was assessed based on whether the studies addressed the issue of immune checkpoint-related cardiotoxicity. Therefore, irrelevant content was discarded according to the author&#x2019;s own opinion and purpose. Then, the full-text quality of the remaining articles was assessed to determine whether they would contribute to the study&#x2019;s aim.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Selection of studies</title>
<p>Study selection was done by two authors and was based on the following criteria:</p>
<list list-type="simple">
<list-item>
<p>i) Original studies: including prospective and retrospective studies that reported the cardiotoxicity due to ICI therapy in cancer patients irrespective of the type of cancer.</p>
</list-item>
<list-item>
<p>ii) Significant sample, VigiBase studies including all the cardiotoxicity reports after ICI therapy in cancer patients were also considered.</p>
</list-item>
<list-item>
<p>iii) Eligible studies should have disclosed any cardiac side effects that occurred during the course of pembrolizumab or nivolumab monotherapy.</p>
</list-item>
<list-item>
<p>iv) Eligible studies had to provide basic demographic data on the included participants.</p>
</list-item>
</list>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Exclusion criteria</title>
<p>Case reports and case series were excluded because they did not provide the total number of patients treated with pembrolizumab and nivolumab monotherapy.</p>
<p>Because of the comparative nature of this study that targeted PD1 inhibitors, studies providing data only for subclasses of ICI not including PD1 inhibitors or those including only one of the PD1 inhibitors (pembrolizumab or nivolumab) were excluded.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Quality assessment</title>
<p>To assess the quality of each included paper, the Newcastle&#x2013;Ottawa Scale (NOS) scoring based on 10 points was implemented. A study was considered of good quality when the NOS score was &gt;6; otherwise, it was considered of low quality.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>Measures of comparator effect</title>
<p>The outcome of interest was the overall number of reports of cardiac side effects including myocarditis, pericarditis, heart failure, arrhythmia, coronary events, and major adverse cardiovascular events (MACE). For each study, the descriptive proportion of ICI-induced cardiotoxicity attributable to each drug and the probability of developing cardiotoxicity among the subset of patients treated with each drug was determined for description purposes, by the following formula.</p>
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<mml:mi>e</mml:mi>
<mml:mi>d</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>w</mml:mi>
<mml:mi>i</mml:mi>
<mml:mi>t</mml:mi>
<mml:mi>h</mml:mi>
<mml:mo>&#xa0;</mml:mo>
<mml:mi>x</mml:mi>
</mml:mrow>
</mml:mfrac>
</mml:mrow>
</mml:math>
</disp-formula>
<p>(Where (x) represents either nivolumab or pembrolizumab)</p>
<p>To compare the means of the cardiotoxicity proportions and probabilities between the two drugs, a one-tailed, P-value Student&#x2019;s <italic>t</italic>-test for independent samples was used. Given the retrospective nature of the study, the odds ratio on the random and fixed effect modality was estimated with its 95% confidence interval as the outcome measure effect of the meta-analysis (<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Data extraction and management</title>
<p>Data were collected by the first author and cross-checked by the second author and then extracted into a Microsoft Excel file. For each included study, the collected data for the analyses were as follows: the name of the first author, the year of publication, patients&#x2019; mean age (when available), type of malignancy, presence of cardiovascular risk factors, medical history, type of cardiotoxicity reported, total number of cardiotoxicity reports, number of patients treated with pembrolizumab, number of pembrolizumab-induced cardiotoxicity cases, number of patients treated with nivolumab, and its corresponding number of cardiotoxicity-induced cases. If an article did not provide the total number of patients treated for each drug but provided reporting the odds ratio and the number of events (cases), the number of treated patients was estimated by deducting from the ROR and related formulas provided within the study. For vigilance studies, the total number of each drug&#x2019;s adverse effect was considered as the total number of patients treated and the number of cardiac adverse effects was used as events.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Subgroup analyses</title>
<p>Subgroup analyses were performed to investigate the source of heterogeneity among studies; therefore, studies were grouped according to several criteria:</p>
<list list-type="bullet">
<list-item>
<p>According to the grading of the study&#x2019;s quality: based on their NOS score, studies were grouped into low and good quality.</p>
</list-item>
<list-item>
<p>According to the report of cardiovascular disease history: grouped as (yes or no).</p>
</list-item>
<list-item>
<p>According to the type of malignancy: we had the subgroup of studies reporting only on lung cancer (labeled OL) and studies reporting on lung cancer and other cancers (labeled ALL).</p>
</list-item>
<list-item>
<p>According to the type of cardiotoxicity: we included studies that reported only on myocarditis, and the group reporting and myocarditis plus others such as pericarditis and arrhythmias.</p>
</list-item>
</list>
</sec>
<sec id="s2_10">
<label>2.10</label>
<title>Assessment of risk of publication bias</title>
<p>Publication bias was assessed by a funnel plot associated with Egger&#x2019;s test.</p>
</sec>
<sec id="s2_11">
<label>2.11</label>
<title>Sensitivity analysis</title>
<p>The robustness of the findings were explored with the &#x201c;<italic>cop&#x201d;</italic> argument in the &#x201c;<italic>metasens&#x201d;</italic> package in R statistical software. The Copas selection model described in Copas and Shi (2001) (&lt;DOI: 10.1177/096228020101000402&gt;) evaluates the sensitivity of meta-analysis, helping to determine the possible selection bias.</p>
<p>Statistical analyses were performed with Microsoft Office Excel 2016, and meta&#x2010;analysis calculations were achieved with R statistical software version 4.1.3 (2022-03-10) (&#x201c;One Push-Up&#x201d; Copyright (C) 2022 The R Foundation for Statistical Computing Platform: i386-w64-mingw32/i386). We used the Cochran&#x2019;s Q statistic to estimate statistical heterogeneity and the I<sup>2</sup> statistic to quantify inconsistency. The assumption of homogeneity was considered invalid if P&lt; 0.10.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Results of the search</title>
<p>The search results are detailed in the flowchart below (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). A total of 1,368 records were identified by searching the database, of which 15 were deemed eligible for this analysis.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Prisma flow diagram.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1080998-g001.tif"/>
</fig>
<p>For this meta-analysis, a total of 15 observational studies that appeared between 2018 and 2022 were included. The total number of participants in those studies was 7,517,257 (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), and the mean age was estimated to be around 66 years. These participants all had malignancies that had been clinically diagnosed and confirmed, such as lung cancers, melanomas, Hodgkin lymphomas, endocrine cancers, and renal cancers, with lung cancers accounting for &gt;60% of all cases (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Anti-PD1, anti-CTLA4, and anti-PDL1 were the immunotherapeutic drug classes reported in each study. Following monotherapy or combination therapy, a total of 18,833 ICI-induced cardiac adverse events were reported.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristic of included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">year</th>
<th valign="top" align="center">pem_eve</th>
<th valign="top" align="center">pem_tot</th>
<th valign="top" align="center">nivo_eve</th>
<th valign="top" align="center">nivo_tot</th>
<th valign="top" align="center">NOS_scale</th>
<th valign="top" align="center">Mean age</th>
<th valign="top" align="center">CVHX</th>
<th valign="top" align="center">typ_ca</th>
<th valign="top" align="center">cardiotoxity</th>
<th valign="top" align="center">total</th>
<th valign="top" align="center">C.Reports</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Mahmood &amp;al</bold>
</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">65</td>
<td valign="top" align="left">yes</td>
<td valign="top" align="left">OL</td>
<td valign="top" align="left">myocarditis</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">35</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Shiori &amp;al</bold>
</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">2148</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">4419</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">no</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">4419</td>
<td valign="top" align="center">45</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Serena&amp;al</bold>
</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">68</td>
<td valign="top" align="left">yes</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">myocarditis</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">13</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Qian &amp;al</bold>
</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">493</td>
<td valign="top" align="center">125</td>
<td valign="top" align="center">968</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">65</td>
<td valign="top" align="left">no</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">myocarditis</td>
<td valign="top" align="center">43147</td>
<td valign="top" align="center">315</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Nida&amp;al</bold>
</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">123</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">217</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">62</td>
<td valign="top" align="left">yes</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">424</td>
<td valign="top" align="center">424</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Nestor&amp;al</bold>
</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">1013</td>
<td valign="top" align="center">25597</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="center">46767</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">65</td>
<td valign="top" align="left">yes</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">13646</td>
<td valign="top" align="center">4401</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Melissa&amp;al</bold>
</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">137</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">64</td>
<td valign="top" align="left">no</td>
<td valign="top" align="left">OL</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">196</td>
<td valign="top" align="center">23</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Joe et&#xa0;al</bold>
</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">10321</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">10321</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">no</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">3121</td>
<td valign="top" align="center">1073</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Chitturi&amp;al</bold>
</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">68</td>
<td valign="top" align="left">yes</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">135</td>
<td valign="top" align="center">30</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Chenxin &amp;al</bold>
</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">2808</td>
<td valign="top" align="center">46251</td>
<td valign="top" align="center">6836</td>
<td valign="top" align="center">78047</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="left">no</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">7443137</td>
<td valign="top" align="center">9271</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Anna&amp;al</bold>
</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">805</td>
<td valign="top" align="center">22378</td>
<td valign="top" align="center">1076</td>
<td valign="top" align="center">2791</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">69</td>
<td valign="top" align="left">no</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">2478</td>
<td valign="top" align="center">2478</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Chenglui &amp;al</bold>
</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">324</td>
<td valign="top" align="center">2181</td>
<td valign="top" align="center">196</td>
<td valign="top" align="center">1766</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">62</td>
<td valign="top" align="left">yes</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">myocarditis</td>
<td valign="top" align="center">5518</td>
<td valign="top" align="center">691</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Zach&amp;al</bold>
</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">243</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">220</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">65</td>
<td valign="top" align="left">yes</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">538</td>
<td valign="top" align="center">26</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Maria&amp;al</bold>
</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">70</td>
<td valign="top" align="left">no</td>
<td valign="top" align="left">OL</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Luke &amp;al</bold>
</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">37</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">71</td>
<td valign="top" align="left">yes</td>
<td valign="top" align="left">A</td>
<td valign="top" align="left">others</td>
<td valign="top" align="center">268</td>
<td valign="top" align="center">4</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>total</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5145</td>
<td valign="top" align="center">109941</td>
<td valign="top" align="center">10490</td>
<td valign="top" align="center">145881</td>
<td valign="top" align="center"/>
<td valign="top" align="center">66.16667</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">7517257</td>
<td valign="top" align="center">18833</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>pem_eve, number of cardiotoxicity report with pembrolizumab as ICI monotherapy; pem_tot, number of patients treated with pembrolizumab; nivo_eve, number of cardiotoxicity reports with nivolumab as ici monotherapy; nivo_tot, patients treated with nivolumab; NOS, Newcasttle Ottawa scale; cvhx, history of cardiovascular disease; typ_ca, type of cancer; OL, only lung cancer, A, lung and others cancers such as melanoma, renal cancer, lymphoma,metastasis; c.reports, total number of ici induced cardiotoxicity cases.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The total number of ICI-induced cardiotoxicity attributable to nivolumab was 55.7%, whereas that for pembrolizumab was for 27.31% (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The difference in mean cardiotoxicity proportion between nivolumab and pembrolizumab was statistically significant (P = 0.027). Based on the available data, patients treated with pembrolizumab had a 4.6% chance of developing cardiotoxicity after treatment, whereas those treated with nivolumab had a 7.1% chance of developing cardiotoxicity, but the difference in cardiotoxicity probability means between the two drugs was not statistically significant (P = 0.28) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>This pie chart shows that in overall included studies, nivolumab monotherapy accounted for half percent of the total ICI-induced cardiotoxicities.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1080998-g002.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Ici induced cardiotoxicity proportion attributable to pembrolizumab and Nivolumab.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Study</th>
<th valign="top" align="center">year</th>
<th valign="top" align="center">pem_eve</th>
<th valign="top" align="center">pem_tot</th>
<th valign="top" align="center">nivo_eve</th>
<th valign="top" align="center">nivo_tot</th>
<th valign="top" align="center">quality_grade</th>
<th valign="top" align="center">Study design</th>
<th valign="top" align="center">total</th>
<th valign="top" align="center">C.Reports</th>
<th valign="top" align="center">Propor_P</th>
<th valign="top" align="center">Propor_N2</th>
<th valign="top" align="center">PROBP</th>
<th valign="top" align="center">PROBN</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Mahmood &amp;al</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">60</td>
<td valign="top" align="left">low</td>
<td valign="top" align="left">analytic</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">0.314286</td>
<td valign="top" align="center">0.2</td>
<td valign="top" align="center">0.211538</td>
<td valign="top" align="center">0.116667</td>
</tr>
<tr>
<td valign="top" align="left">Shiori &amp;al</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">2148</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">4419</td>
<td valign="top" align="left">good</td>
<td valign="top" align="left">descriptive</td>
<td valign="top" align="center">4419</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">0.333333</td>
<td valign="top" align="center">0.533333</td>
<td valign="top" align="center">0.006983</td>
<td valign="top" align="center">0.005431</td>
</tr>
<tr>
<td valign="top" align="left">Serena&amp;al</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">8</td>
<td valign="top" align="left">good</td>
<td valign="top" align="left">analytic</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">0.538462</td>
<td valign="top" align="center">0.307692</td>
<td valign="top" align="center">0.466667</td>
<td valign="top" align="center">0.5</td>
</tr>
<tr>
<td valign="top" align="left">Qian &amp;al</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">493</td>
<td valign="top" align="center">125</td>
<td valign="top" align="center">968</td>
<td valign="top" align="left">good</td>
<td valign="top" align="left">descriptive</td>
<td valign="top" align="center">43147</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">0.219048</td>
<td valign="top" align="center">0.396825</td>
<td valign="top" align="center">0.139959</td>
<td valign="top" align="center">0.129132</td>
</tr>
<tr>
<td valign="top" align="left">Nida&amp;al</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">123</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">217</td>
<td valign="top" align="left">good</td>
<td valign="top" align="left">analytic</td>
<td valign="top" align="center">424</td>
<td valign="top" align="center">424</td>
<td valign="top" align="center">0.051887</td>
<td valign="top" align="center">0.15566</td>
<td valign="top" align="center">0.178862</td>
<td valign="top" align="center">0.304147</td>
</tr>
<tr>
<td valign="top" align="left">Nestor&amp;al</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">1013</td>
<td valign="top" align="center">25597</td>
<td valign="top" align="center">2014</td>
<td valign="top" align="center">46767</td>
<td valign="top" align="left">low</td>
<td valign="top" align="left">descriptive</td>
<td valign="top" align="center">13646</td>
<td valign="top" align="center">4401</td>
<td valign="top" align="center">0.230175</td>
<td valign="top" align="center">0.457623</td>
<td valign="top" align="center">0.039575</td>
<td valign="top" align="center">0.043065</td>
</tr>
<tr>
<td valign="top" align="left">Melissa&amp;al</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">137</td>
<td valign="top" align="left">good</td>
<td valign="top" align="left">analytic</td>
<td valign="top" align="center">196</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">0.173913</td>
<td valign="top" align="center">0.826087</td>
<td valign="top" align="center">0.085106</td>
<td valign="top" align="center">0.138686</td>
</tr>
<tr>
<td valign="top" align="left">Joe et&#xa0;al</td>
<td valign="top" align="center">2018</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">10321</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">10321</td>
<td valign="top" align="left">low</td>
<td valign="top" align="left">descriptive</td>
<td valign="top" align="center">3121</td>
<td valign="top" align="center">1073</td>
<td valign="top" align="center">0.040075</td>
<td valign="top" align="center">0.093197</td>
<td valign="top" align="center">0.004166</td>
<td valign="top" align="center">0.009689</td>
</tr>
<tr>
<td valign="top" align="left">Chitturi&amp;al</td>
<td valign="top" align="center">2019</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">71</td>
<td valign="top" align="left">good</td>
<td valign="top" align="left">analytic</td>
<td valign="top" align="center">135</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">0.2</td>
<td valign="top" align="center">0.333333</td>
<td valign="top" align="center">0.133333</td>
<td valign="top" align="center">0.140845</td>
</tr>
<tr>
<td valign="top" align="left">Chenxin &amp;al</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">2808</td>
<td valign="top" align="center">46251</td>
<td valign="top" align="center">6836</td>
<td valign="top" align="center">78047</td>
<td valign="top" align="left">low</td>
<td valign="top" align="left">descriptive</td>
<td valign="top" align="center">7443137</td>
<td valign="top" align="center">9271</td>
<td valign="top" align="center">0.30288</td>
<td valign="top" align="center">0.737353</td>
<td valign="top" align="center">0.060712</td>
<td valign="top" align="center">0.087588</td>
</tr>
<tr>
<td valign="top" align="left">Anna&amp;al</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">805</td>
<td valign="top" align="center">22378</td>
<td valign="top" align="center">1076</td>
<td valign="top" align="center">2791</td>
<td valign="top" align="left">low</td>
<td valign="top" align="left">descriptive</td>
<td valign="top" align="center">2478</td>
<td valign="top" align="center">2478</td>
<td valign="top" align="center">0.324859</td>
<td valign="top" align="center">0.434221</td>
<td valign="top" align="center">0.035973</td>
<td valign="top" align="center">0.385525</td>
</tr>
<tr>
<td valign="top" align="left">Chenglui &amp;al</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">324</td>
<td valign="top" align="center">2181</td>
<td valign="top" align="center">196</td>
<td valign="top" align="center">1766</td>
<td valign="top" align="left">good</td>
<td valign="top" align="left">analytic</td>
<td valign="top" align="center">5518</td>
<td valign="top" align="center">691</td>
<td valign="top" align="center">0.468886</td>
<td valign="top" align="center">0.283647</td>
<td valign="top" align="center">0.148556</td>
<td valign="top" align="center">0.110985</td>
</tr>
<tr>
<td valign="top" align="left">Zach&amp;al</td>
<td valign="top" align="center">2022</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">243</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">220</td>
<td valign="top" align="left">good</td>
<td valign="top" align="left">analytic</td>
<td valign="top" align="center">538</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">0.653846</td>
<td valign="top" align="center">0.307692</td>
<td valign="top" align="center">0.069959</td>
<td valign="top" align="center">0.036364</td>
</tr>
<tr>
<td valign="top" align="left">Maria&amp;al</td>
<td valign="top" align="center">2020</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">52</td>
<td valign="top" align="left">good</td>
<td valign="top" align="left">analytic</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.75</td>
<td valign="top" align="center">0.125</td>
<td valign="top" align="center">0.057692</td>
</tr>
<tr>
<td valign="top" align="left">Luke &amp;al</td>
<td valign="top" align="center">2021</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">37</td>
<td valign="top" align="left">good</td>
<td valign="top" align="left">analytic</td>
<td valign="top" align="center">268</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.054054</td>
</tr>
<tr>
<td valign="top" align="left">total</td>
<td valign="top" align="center"/>
<td valign="top" align="center">5145</td>
<td valign="top" align="center">109941</td>
<td valign="top" align="center">10490</td>
<td valign="top" align="center">145881</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="center">7517257</td>
<td valign="top" align="center">18833</td>
<td valign="top" align="center">0.273191</td>
<td valign="top" align="center">0.557001</td>
<td valign="top" align="center">0.046798</td>
<td valign="top" align="center">0.071908</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Propor_p, cardiotoxicity proportion attributable to pembrolizumab; Propor_N, cardiotoxicity proportion attributable to Nivolumab; PROBP, probability with pembrolizumab; PROBN, probability with Nivolumab.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Meta-analysis results</title>
<p>The meta-analysis conducted with the recommended Mantel&#x2013;Haenszel method when explored with the random-effect model for dichotomous outcome variables (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>) comparing the cardiotoxicity odds ratio between pembrolizumab and nivolumab yielded a pooled OR of 0.7347 (95% CI: 0.4371&#x2013;1.2348, P = 0.24) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), with considerable heterogeneity (I<sup>2</sup> = 99%, P<sub>h</sub> = 0.00), showing that the difference between the risk of cardiotoxicity reports between pembrolizumab and nivolumab was not statistically significant. However, it would be significant for pembrolizumab on the common (fixed model) OR = 0.5975 [0.5769&#x2013;0.6190], P&lt; 0.0001, in favor of pembrolizumab. Unfortunately, the fixed-effect model cannot be considered here because of the wide variability of effect measures among the included studies. Because of the high heterogeneity (I<sup>2</sup> = 99%), the pooled reporting odds ratio should not be given much consideration. Subgroup analyses were then performed as presented in the next subsection.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Forest plot of comparison of pembrolizumab vs. nivolumab, outcome: 1.1 cardiotoxicity odds ratio.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-13-1080998-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Subgroup analyses</title>
<p>Based on the data that was made available, subgroup analyses were carried out according to the following parameters: study quality (good and low); type of malignancy (only lung and all); presence of cardiovascular history or risk factors (yes and no); type of malignancy (myocarditis and other); and subgroup analysis results. High heterogeneity was present in the subgroups of &#x201c;low quality,&#x201d; &#x201c;other cardiotoxicities,&#x201d; and &#x201c;all cancers,&#x201d; whereas moderate-to-low heterogeneity was present in the subgroups of &#x201c;good quality,&#x201d; &#x201c;only lung cancers,&#x201d; and &#x201c;myocarditis.&#x201d; However, apart from the myocarditis group, where a higher risk of cardiotoxicity report was linked to pembrolizumab therapy (OR = 1.30 [1.07&#x2013;1.59], P&lt; 0.05) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> in the annex), the results among other subgroups remained insignificant.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Summary of meta-analyses and subgroup analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Analysis modality</th>
<th valign="top" align="center">OR, 95%CI, P-value</th>
<th valign="top" align="center">I<sup>2</sup>, P<sub>h</sub>
</th>
<th valign="top" align="center">observations</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Over all analysis</td>
<td valign="top" align="left">0.7347 95%CI [0.4371-1.2348]<break/>P=0.24 (R.E)</td>
<td valign="top" align="left">I<sup>2</sup>=99%, P<sub>h</sub>=0</td>
<td valign="top" align="left">There could be a decrease risk of cardiotoxicity associated with Pembrolizumab than Nivolumab but the association was not statistically significant</td>
</tr>
<tr>
<td valign="top" align="left">Subgroup analysis based on the quality of included studies;<break/>Low quality(5 studies included)</td>
<td valign="top" rowspan="2" align="left">OR=0.48[0.15; 1.52], P&gt;0.005<break/>OR=1,04 95%CI[0.75;1.45]</td>
<td valign="top" rowspan="2" align="left">i<sup>2</sup>=100%, P<sub>h</sub>=0<break/>i<sup>2</sup>=50%,Ph=0.04</td>
<td valign="top" rowspan="2" align="left">In the low quality group the cardiotoxicity risk appeared reduced with pembrolizumab but the result was not statistically significant and the heterogeneity was very high<break/>with In the good quality subgroup there was a non significant increased of cardiotoxicity with pembrolizumab than Nivloumab and the heterogeneity was moderate and tolerable</td>
</tr>
<tr>
<td valign="top" align="left">Good quality (10 studies included)</td>
</tr>
<tr>
<td valign="top" align="left">Subgroup analyses based on the type of cancers<break/>Only lung Cancer(3 studies included)</td>
<td valign="top" rowspan="2" align="left">OR=1.24[0.46;3.32],P&gt;0.005<break/>OR=0.67[0.37;1.19], P&gt;0.05</td>
<td valign="top" rowspan="2" align="left">i2=31%,Ph=0.24<break/>i2=99%,Ph=0</td>
<td valign="top" rowspan="2" align="left">although the assumption of homogeneity was kept within the (OL) subgroup, the results were still not significant but seemed to favour Nivolumab.<break/>Within the (A) subgroup the heterogeneity was considerable and the result remained not significant with tendency to favour Pembrolizumab.</td>
</tr>
<tr>
<td valign="top" align="left">All cancers(12 studies included)</td>
</tr>
<tr>
<td valign="top" align="left">Subgroup analyses: presence of cardiovascular history<break/>YES( 8 studies included)</td>
<td valign="top" rowspan="2" align="left">OR=1,05[0.72;1.63], P&gt;0.05<break/>OR=0.54[0.22;1.31], P&gt;0.05</td>
<td valign="top" rowspan="2" align="left">i2=75%,Ph=0.01<break/>i2=100%,Ph=0.0</td>
<td valign="top" rowspan="2" align="left">Both subgroups did not resolve the heterogeneity issue and still reported a non statistically significant result.<break/>The &#x201c;yes&#x201d; subgroup favoured Nivolumab while the &#x201c;No&#x201d; subgroup favoured Pembrolizumab</td>
</tr>
<tr>
<td valign="top" align="left">NO(7studies included)</td>
</tr>
<tr>
<td valign="top" align="left">Subgroup analysis: type of cardiotoxicity<break/>Myocarditis (4 studies included)</td>
<td valign="top" rowspan="2" align="left">OR=1.30[1.07;1.59], P&lt;0.05<break/>OR=0.59[0.31;1.14], P&gt;0.05</td>
<td valign="top" rowspan="2" align="left">i2=0%,Ph=0.4<break/>i2=100%,Ph=0.0</td>
<td valign="top" rowspan="2" align="left">within the &#x201c;myocarditis&#x201d; subgroup the assumption of homogeneity was kept and the result was significant and favoured Nivolumab induced cardiotoxicity</td>
</tr>
<tr>
<td valign="top" align="left">Others</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Results of publication bias assessment</title>
<p>The funnel plot obtained displayed obvious asymmetry that was confirmed by linear regression Egger&#x2019;s test (P = 0.9963), indicating the strong presence of publication bias among the studies (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary File</bold>
</xref>).</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Sensitivity analyses</title>
<p>The overall sensitivity analysis revealed that even when selection bias was assumed, the OR and its 95%CI did not vary significantly. The reliability of this meta-analysis is demonstrated by an unadjusted OR = 0.7347 (95% CI: [0.4371; 1.2348)], P = 0.2445, which did not differ much from the adjusted OR = 0.7328 (95% [0.4427; 1.2128] P = 0.2265. Moreover, the test for residual selection bias yielded a P-value = 0.4338.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Our analyses found that the proportion of cardiotoxicity credited to nivolumab was the highest among ICI drugs; moreover, the probability of developing cardiotoxicity for someone treated with pembrolizumab was slightly lower than if the drug was nivolumab, but the difference was not statistically significant. However, although the results of the overall meta-analysis seemingly depicted a trend that favored pembrolizumab over nivolumab, it remained statistically insignificant even after performing subgroup analysis. The results remained inconclusive, and we observed that the considerable heterogeneity noted can have been because of the quality of studies, their designs, the great variation of outcome effect size, sample size, and other confounding factors such as cardiovascular history and type of cancers. With the exception of a subset of patients whose cardiotoxicity type was myocarditis, it can be observed that pembrolizumab therapy had a greater risk for cardiotoxicity than nivolumab.</p>
<p>Programmed cell death receptor inhibitor 1 is a protein found on T cells, which can bind to another ligand called PDL-1, thus preventing the T-cell-mediated destruction of other cells (<xref ref-type="bibr" rid="B18">18</xref>). Based on this mechanism, inhibitor agents for PD-1 and PDL-1 proteins have been manufactured to increase the T cells&#x2019; ability to fight cancer cells and increase overall survival (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Furthermore, there has been substantial objective improvement in cancer outcomes with the increased use of these novel agents, and it has now become a trend in the oncology field (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>). ICI drugs from the PD1 receptor inhibitor subclass are well known to be associated with side effects such as pneumonitis, pruritus, and neurological, endocrine, and gastrointestinal adverse effects, although it has been observed that the frequency of the irAEs was relatively lower than with the other subclasses (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B51">51</xref>). However, the PCD receptor inhibitor subclass has recently been identified in previous studies as bearing a certain cardiotoxicity adverse effect potential, albeit accounting for&lt;5% of all adverse effects.</p>
<p>The cardiotoxicity spectrum has in majority been represented by myocarditis (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>), but other cardiac conditions can also be observed such as arrhythmias, pericardial effusion, heart failure, coronary events, pericarditis, and heart block (<xref ref-type="bibr" rid="B28">28</xref>). Existing case studies and pharmacovigilance data showed that the irAEs mainly affect cardiac conduction and myocyte function, which would then lead to heart damage (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). It also appears that cardiotoxicity incidences are more observable among patients undergoing combination therapy (<xref ref-type="bibr" rid="B31">31</xref>). The routinely and broadly used PD1 ICI are pembrolizumab and nivolumab. Hence, the core objective was to identify whether there were any differences between them regarding cardiac adverse effects despite belonging to the same subclass. Can those differences also be related to their clinical efficacy, structure, mechanisms of action, spectrum, and frequency of side effects? Moreover, with regard to the cardiotoxic adverse effects, which one can be better than the other? The two drugs belong to the same subclass and are used for similar therapeutic indications, the most common being non-small cell lung cancers, melanoma, and metastasis (<xref ref-type="bibr" rid="B20">20</xref>). However, from a previous report, it seemed as though nivolumab was potentially a more cardiotoxic ICI, as roughly 60% of cardiotoxicity reports in cancer-treated patients were associated with nivolumab (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>) in mono or combination therapy regimen, but this was observed more in studies in which the quality on the NOS scale was not satisfactory; however, recent cohort and case&#x2013;control studies (also included in this meta-analysis) rather reported an increased risk associated with the use of pembrolizumab (see Zachary et&#xa0;al., 2022). The results after pooling all the included studies showed that although there were more reports of cardiotoxicity for nivolumab, the difference in cardiotoxicity odds ratio between pembrolizumab and nivolumab was not statically significant. This was consistent with some previously reported results. One study that aimed to compare the efficacy of the two drugs (<xref ref-type="bibr" rid="B50">50</xref>) reported in their survival analysis that despite the observation of a higher objective response rate with pembrolizumab than nivolumab, there was no significant difference in the progression of free survival between the patients treated with pembrolizumab and those treated with nivolumab (<xref ref-type="bibr" rid="B22">22</xref>). Another investigation on the overall incidence and risk of irAE between the two drugs (95% CI: 0.97&#x2013;1.79) indicated that the difference was not statistically significant (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Moreover, there were no significant discernible differences in the mechanism of action of the two drugs: pembrolizumab and nivolumab are both humanized IgG4 monoclonal antibodies against PD-1, but with the distinction that they do not induce antibody-dependent cellular cytotoxicity, as would be the case for normal IgG antibodies; hence, their toxicities and side effects have been more characterized as immune-related than cytotoxic (<xref ref-type="bibr" rid="B35">35</xref>). Analysis of the included studies showed that nivolumab had the highest proportion of induced cardiotoxicity among all ICI-induced cardiotoxicities (<xref ref-type="bibr" rid="B13">13</xref>). In addition, the majority of patients with reports of cardiotoxicity had other factors such as conventional cardiovascular risk factors or cardiovascular history. Although this may explain the frequency of reports of cardiotoxicity, it cannot explain the large disparity in the proportions of cardiotoxicity between the two drugs, given that the distributions of cardiovascular risk factors or the history of the two groups were comparable (<xref ref-type="bibr" rid="B36">36</xref>). In this study, cardiotoxicity refers to any cardiac damage irrespective of extent or severity. The cardiotoxicity odds ratio between pembrolizumab and nivolumab was not statistically significant; however, this does not imply that there would not be any difference at all. Therefore, after consideration of the descriptive proportions reported for both drugs, it can be suggested that nivolumab is associated with more cardiotoxicity events than pembrolizumab. One plausible explanation for this finding can be that nivolumab was introduced first and gained recognition first before pembrolizumab. Another possible theory would be that because in general, the overall number of cases with cancer expressing high PDL1 (expression: &gt;50%) seems to be lower than that of cases with a low PDL1 expression (expression: 1&#x2013;49%). Per standard recommendation, pembrolizumab is known to be effective in tumors expressing PDL1 at &gt;50% and nivolumab in tumors expressing PDL1 at &gt;1%. Therefore, there would naturally be more cases (low PDL1 expression) of cancer treated with nivolumab than with pembrolizumab. All these could have led to more reports of cardiac toxicity events with nivolumab than with pembrolizumab. Additionally, the small number of included studies and the high degree of heterogeneity between studies may have also played a role in the lack of statistical significance from the pooled odds ratio of cardiotoxicity effect between the two drugs. A few case series on ICI-induced cardiotoxicity also highlighted that cardiomyopathy, myocarditis, and conduction abnormalities were being underreported, which could have as well influenced the overall effect result of the current analysis (<xref ref-type="bibr" rid="B28">28</xref>). Another possibility can be that those considered to be developing cardiac toxicity were patients with cardiac clinical symptoms, resulting in non-involvement of the subclinical cases, which could have significantly influenced the results.</p>
<p>Numerous studies have shown that despite being relatively uncommon and few, the majority of myocarditis cases would present during the acute phase of therapy, with a propensity for seriousness and mortality, or the development of MACEs such as cardiac arrest, cardiac death, or stroke, but respond well to high corticosteroids for remission when administered in a timely manner (<xref ref-type="bibr" rid="B37">37</xref>&#x2013;<xref ref-type="bibr" rid="B39">39</xref>). Although cardiac irAEs with ICIs are uncommon, the increased rate of mortality seen is an important factor to consider, as was also highlighted in another similar analysis (<xref ref-type="bibr" rid="B27">27</xref>). According to Dolladile et&#xa0;al.&#x2019;s 2020 study, heart failure with left ventricular systolic dysfunction was seen among cases as a late adverse event. Therefore, patients treated with ICI should be monitored for at least 304 days. Additionally, because silent toxicities are possible (toxicity that manifests slowly before symptoms become obvious), such patients should also undergo routine cardiovascular screening for early detection of any abnormalities, especially for those aged &gt;65 years and presenting at least two conventional cardiovascular risk factors or cardiovascular history (<xref ref-type="bibr" rid="B40">40</xref>). Nevertheless, the presumed advantages of early detection of cardiotoxicities through active screening, serial electrocardiograms, troponins, BNP, and echocardiography (which are helpful tools for the detection of subclinical cardiotoxicity during oncology therapy) should take into account the cost of testing as well as the possibility of false results, incorrect interpretation, and other related errors (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B41">41</xref>). In a study, the highly sensitive troponin&#x2019;s prognostic value showed that a value higher than 14 ng/L before the administration of pembrolizumab was significantly associated with a high incidence of MACE, including stroke and cardiac death (<xref ref-type="bibr" rid="B42">42</xref>). However, this does not necessarily mean that highly sensitive troponin should be considered an eligibility criterion for pembrolizumab or nivolumab therapy, but rather it can be useful as a predictor of cardiotoxicity risk.</p>
<p>This study has some limitations. The included studies were observational in nature, with some data collected from electronic and registered databases, implying a high susceptibility to information and selection biases (<xref ref-type="bibr" rid="B43">43</xref>). Selection bias was a concern in the (<xref ref-type="bibr" rid="B39">39</xref>) study, which was of a retrospective design, because there was no prospective cardiovascular screening protocol across all sites, and screening for cardiac biomarkers and other tests was left to the discretion of each individual care provider. (<xref ref-type="bibr" rid="B26">26</xref>) study was distinguished by the small sample size, which resulted in confounder interference and reporting bias. The criteria for control groups in two of the included studies were dubious, making it difficult to select a group of cancer patients with similar cardiovascular comorbidity and who underwent adequate testing to exclude cardiac pathology, as controls (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B44">44</xref>). The criteria for selecting pembrolizumab or nivolumab for patients were not detailed or obvious in the results of the included studies. The risk of bias across the included studies could not have negated the evidence found in each study, but it could have led to an underestimation of association or effect size. According to two VigiBase analyses, pharmacovigilance analyses generate hypotheses that must be tested, ideally in prospective studies. Adverse Reaction Reporting System databases may be biased given the significant overlap of Individual Case Safety Reports (ICSRs) between databases. In addition, some cases may not have been reported to State drug enforcement authorities (<xref ref-type="bibr" rid="B34">34</xref>). The only included prospective cohort study had a short follow-up period, which may have led to a limited number of events and biased interpretation of results (<xref ref-type="bibr" rid="B25">25</xref>). In addition, randomized clinical trials on cardiotoxicity issues were not available at the time of the search, resulting in a limited number of studies, small sample sizes, and low statistical significance. Moreover, unpublished records on the topic as well as articles published in languages other than English cannot be evaluated. To our knowledge, this is the first meta-analysis to directly compare the two drugs, and hence, these results are still important, because they highlight the need for additional, in-depth research on this topic in multiethnic, large-center settings to provide oncology patients with the best possible care while reducing the likelihood of cardiotoxicity.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Immune checkpoint inhibitors have revolutionized the treatment of advanced-stage cancers including metastases; however, the potential danger to vital organs (<xref ref-type="bibr" rid="B52">52</xref>) such as the heart cannot be overlooked. Therefore, it is paramount to look at every strategy with the potential to limit, reduce, or control the magnitude of this issue. Previous studies regarding the cardiotoxicity risks of ICIs and comparisons between anti-PD1 and anti CTLA4 (<xref ref-type="bibr" rid="B45">45</xref>) were made; however, this paper addressed the direct comparison between nivolumab and pembrolizumab cardiotoxicity potentials. Contrary to what was recently reported (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>), the descriptive proportions described herein have provided a clear indication that nivolumab-induced cardiotoxicities are reported more in the literature over the past years than pembrolizumab-induced cardiotoxicities. The discrepancy between these findings and previous ones highlights the need for a prospective analysis on a larger sample cohort. However, the consensus on the need for proper cardiac screening before and after remains strong among researchers (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). Therefore, the importance of multidisciplinary collaboration between oncologists, immunologists, and cardiologists in the management of cancer patients cannot be overemphasized.</p>
</sec>
<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 author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>This manuscript was compiled and written by FN under the direction, guidance, and supervision of Z-QW. Proofreading and editing were done by CM. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research 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="s9" 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="s10" 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/fonc.2023.1080998/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2023.1080998/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>ICI, immune checkpoint inhibitors; iaAEs, immune-related adverse events; anti-PD1, monoclonal antibodies belonging to programmed cell death 1 inhibitor; anti-CTLA4, cytotoxic T lymphocyte-associated antigen 4.</p>
</fn>
</fn-group>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname>Ferlay</surname> <given-names>J</given-names>
</name>
<name>
<surname>Ervik</surname> <given-names>M</given-names>
</name>
<name>
<surname>Lam</surname> <given-names>F</given-names>
</name>
<name>
<surname>Colombet</surname> <given-names>M</given-names>
</name>
<name>
<surname>Mery</surname> <given-names>L</given-names>
</name>
<name>
<surname>Pi&#xf1;eros</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <source>Global Cancer Observatory: Cancer Today</source>. <publisher-loc>Lyon</publisher-loc>: <publisher-name>International Agency for Research on Cancer</publisher-name> (<year>2022</year>). Available at: <uri xlink:href="https://gco.iarc.fr/today">https://gco.iarc.fr/today</uri> (Accessed <access-date>February 2021</access-date>).</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kostakou</surname> <given-names>PM</given-names>
</name>
<name>
<surname>Kouris</surname> <given-names>NT</given-names>
</name>
<name>
<surname>Kostopoulos</surname> <given-names>VS</given-names>
</name>
<name>
<surname>Damaskos</surname> <given-names>DS</given-names>
</name>
<name>
<surname>Olympios</surname> <given-names>CD</given-names>
</name>
</person-group>. <article-title>Cardio-oncology: a new and developing sector of research and therapy in the field of cardiology</article-title>. <source>Heart Failure Rev</source> (<year>2019</year>) <volume>24</volume>(<issue>1</issue>):<fpage>91</fpage>&#x2013;<lpage>100</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10741-018-9731-y</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Konala</surname> <given-names>VM</given-names>
</name>
<name>
<surname>Adapa</surname> <given-names>S</given-names>
</name>
<name>
<surname>Aronow</surname> <given-names>WS</given-names>
</name>
</person-group>. <article-title>Immune checkpoint inhibitors-related cardiotoxicity</article-title>. <source>Am J Ther</source> (<year>2020</year>) <volume>27</volume>(<issue>6</issue>):<page-range>e591&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/MJT.0000000000000988</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>L</given-names>
</name>
<name>
<surname>Gupta</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sahasranaman</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Immune checkpoint inhibitors: An introduction to the next-generation cancer immunotherapy</article-title>. <source>J Clin Pharmacol</source> (<year>2016</year>) <volume>56</volume>(<issue>2</issue>):<page-range>157&#x2013;69</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jcph.591</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Darvin</surname> <given-names>P</given-names>
</name>
<name>
<surname>Toor</surname> <given-names>SM</given-names>
</name>
<name>
<surname>Sasidharan Nair</surname> <given-names>V</given-names>
</name>
<name>
<surname>Elkord</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Immune checkpoint inhibitors: recent progress and potential biomarkers</article-title>. <source>Exp Mol Med</source> (<year>2018</year>) <volume>50</volume>(<issue>12</issue>):<fpage>1</fpage>&#x2013;<lpage>11</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s12276-018-0191-1</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ruggiero</surname> <given-names>R</given-names>
</name>
<name>
<surname>Fraenza</surname> <given-names>F</given-names>
</name>
<name>
<surname>Scavone</surname> <given-names>C</given-names>
</name>
<name>
<surname>di Mauro</surname> <given-names>G</given-names>
</name>
<name>
<surname>Piscitelli</surname> <given-names>R</given-names>
</name>
<name>
<surname>Mascolo</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Immune checkpoint inhibitors and immune-related adverse drug reactions: Data from Italian pharmacovigilance database</article-title>. <source>Front Pharmacol</source> (<year>2020</year>) <volume>11</volume>:<elocation-id>830</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fphar.2020.00830</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Leach</surname> <given-names>DR</given-names>
</name>
<name>
<surname>Krummel</surname> <given-names>MF</given-names>
</name>
<name>
<surname>Allison</surname> <given-names>JP</given-names>
</name>
</person-group>. <article-title>Enhancement of antitumor immunity by CTLA-4 blockade</article-title>. <source>Science</source> (<year>1996</year>) <volume>271</volume>:<page-range>1734&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.271.5256.1734</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ribas</surname> <given-names>A</given-names>
</name>
<name>
<surname>Wolchok</surname> <given-names>JD</given-names>
</name>
</person-group>. &#x201c;<article-title>Cancer immunotherapy using checkpoint blockade</article-title>.&#x201d; <source>Science (New York, N.Y.)</source> (<year>2018</year>) <volume>359</volume>(<issue>6382</issue>):<page-range>1350&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1126/science.aar4060</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Schadendorf</surname> <given-names>D</given-names>
</name>
<name>
<surname>van Akkooi</surname> <given-names>ACJ</given-names>
</name>
<name>
<surname>Berking</surname> <given-names>C</given-names>
</name>
<name>
<surname>Griewank</surname> <given-names>KG</given-names>
</name>
<name>
<surname>Gutzmer</surname> <given-names>R</given-names>
</name>
<name>
<surname>Hauschild</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Melanoma</article-title>. <source>Lancet</source> (<year>2018</year>) <volume>392</volume>(<issue>2018</issue>):<page-range>971&#x2013;84</page-range>. doi: <pub-id pub-id-type="doi">10.1016/S0140-6736(18)31559-9</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Martins</surname> <given-names>F</given-names>
</name>
<name>
<surname>Sofiya</surname> <given-names>L</given-names>
</name>
<name>
<surname>Sykiotis</surname> <given-names>GP</given-names>
</name>
<name>
<surname>Lamine</surname> <given-names>F</given-names>
</name>
<name>
<surname>Maillard</surname> <given-names>M</given-names>
</name>
<name>
<surname>Fraga</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Adverse effects of immune-checkpoint inhibitors: epidemiology, management and surveillance</article-title>. <source>Nat Rev Clin Oncol</source> (<year>2019</year>) <volume>16</volume>:<page-range>563&#x2013;80</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41571-019-0218-0</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tomita</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Sueta</surname> <given-names>D</given-names>
</name>
<name>
<surname>Kakiuchi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Saeki</surname> <given-names>S</given-names>
</name>
<name>
<surname>Saruwatari</surname> <given-names>K</given-names>
</name>
<name>
<surname>Sakata</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Acute coronary syndrome as a possible immune-related adverse event in a lung cancer patient achieving a complete response to anti-PD-1 immune checkpoint antibody</article-title>. <source>Ann Oncol</source> (<year>2017</year>) <volume>28</volume>(<issue>11</issue>):<page-range>2893&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/annonc/mdx326</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Agrawal</surname> <given-names>N</given-names>
</name>
<name>
<surname>Khunger</surname> <given-names>A</given-names>
</name>
<name>
<surname>Vachhani</surname> <given-names>P</given-names>
</name>
<name>
<surname>Colvin</surname> <given-names>TA</given-names>
</name>
<name>
<surname>Hattoum</surname> <given-names>A</given-names>
</name>
<name>
<surname>Spangenthal</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Cardiac toxicity associated with immune checkpoint inhibitors: Case series and review of the literature</article-title>. <source>Case Rep Oncol</source> (<year>2019</year>) <volume>12</volume>(<issue>1</issue>):<page-range>260&#x2013;76</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1159/000498985</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mascolo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Scavone</surname> <given-names>C</given-names>
</name>
<name>
<surname>Ferrajolo</surname> <given-names>C</given-names>
</name>
<name>
<surname>Rafaniello</surname> <given-names>C</given-names>
</name>
<name>
<surname>Danesi</surname> <given-names>R</given-names>
</name>
<name>
<surname>Del Re</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Immune checkpoint inhibitors and cardiotoxicity: An analysis of spontaneous reports in eudravigilance</article-title>. <source>Drug Saf</source> (<year>2021</year>) <volume>44</volume>:<page-range>957&#x2013;71</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s40264-021-01086-8</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Palaskas</surname> <given-names>N</given-names>
</name>
<name>
<surname>Lopez-Mattei</surname> <given-names>J</given-names>
</name>
<name>
<surname>Durand</surname> <given-names>JB</given-names>
</name>
<name>
<surname>Iliescu</surname> <given-names>C</given-names>
</name>
<name>
<surname>Deswal</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Immune checkpoint inhibitor myocarditis: Pathophysiological characteristics, diagnosis, and treatment</article-title>. <source>Journal of the American Heart Association</source>. (<year>2020</year>) <volume>9</volume>(<issue>2</issue>). doi:&#xa0;<pub-id pub-id-type="doi">10.1161/JAHA.119.013757</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Stroup</surname> <given-names>DF</given-names>
</name>
<name>
<surname>Berlin</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Morton</surname> <given-names>SC</given-names>
</name>
<name>
<surname>Olkin</surname> <given-names>I</given-names>
</name>
<name>
<surname>Williamson</surname> <given-names>GD</given-names>
</name>
<name>
<surname>Rennie</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Meta-analysis of observational studies in epidemiology: a proposal for reporting. meta-analysis of observational studies in epidemiology (MOOSE) group</article-title>. <source>JAMA</source> (<year>2000</year>) <volume>283</volume>(<issue>15</issue>):<page-range>2008&#x2013;12</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jama.283.15.2008</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ali</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Bhaskar</surname> <given-names>SB</given-names>
</name>
</person-group>. <article-title>Basic statistical tools in research and data analysis</article-title>. <source>Indian J Anaesthesia</source> (<year>2016</year>) <volume>60</volume>(<issue>9</issue>):<page-range>662&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4103/0019-5049.190623</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fidler</surname> <given-names>V</given-names>
</name>
<name>
<surname>Nagelkerke</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>The mantel-haenszel procedure revisited: models and generalizations</article-title>. <source>PloS One</source> (<year>2013</year>) <volume>8</volume>(<issue>3</issue>):<elocation-id>e58327</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0058327</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yun</surname> <given-names>S</given-names>
</name>
<name>
<surname>Vincelette</surname> <given-names>ND</given-names>
</name>
<name>
<surname>Green</surname> <given-names>MR</given-names>
</name>
<name>
<surname>Wahner Hendrickson</surname> <given-names>AE</given-names>
</name>
<name>
<surname>Abraham</surname> <given-names>I</given-names>
</name>
</person-group>. <article-title>Targeting immune checkpoints in unresectable metastatic cutaneous melanoma: a systematic review and meta-analysis of anti-CTLA-4 and anti-PD-1 agents trials</article-title>. <source>Cancer Med</source> (<year>2016</year>) <volume>5</volume>(<issue>7</issue>):<page-range>1481&#x2013;91</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cam4.732</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Safi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ahmed</surname> <given-names>H</given-names>
</name>
<name>
<surname>Al-Azab</surname> <given-names>M</given-names>
</name>
<name>
<surname>Xia</surname> <given-names>Y-L</given-names>
</name>
<name>
<surname>Shan</surname> <given-names>X</given-names>
</name>
<name>
<surname>Al-Radhi</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>PD-1/PDL-1 inhibitors and cardiotoxicity; molecular, etiological and management outlines</article-title>. <source>J Adv Res</source> (<year>2021</year>) <volume>29</volume>:<fpage>45</fpage>&#x2013;<lpage>54</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jare.2020.09.006</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Prasad</surname> <given-names>V</given-names>
</name>
<name>
<surname>Kaestner</surname> <given-names>V</given-names>
</name>
</person-group>. <article-title>Nivolumab and pembrolizumab: Monoclonal antibodies against programmed cell death-1 (PD-1) that are interchangeable</article-title>. <source>Semin Oncol</source> (<year>2017</year>) <volume>44</volume>(<issue>2</issue>):<page-range>132&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1053/j.seminoncol.2017.06.007</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="book">
<person-group person-group-type="author">
<collab>NIH</collab>
</person-group>. <source>Study quality assessment tools</source>. <publisher-name>Nih.Gov</publisher-name> (<year>2009</year>). Available at: <uri xlink:href="https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools">https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools</uri>.</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>W</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Z</given-names>
</name>
</person-group>. <article-title>PD-1/PD-L1 checkpoint inhibitors in tumor immunotherapy</article-title>. <source>Front Pharmacol</source> (<year>2021</year>) <volume>12</volume>:<elocation-id>731798</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fphar.2021.731798</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>X</given-names>
</name>
<name>
<surname>Tao</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Response efficacy of PD-1 and PD-L1 inhibitors in clinical trials: A systematic review and meta-analysis</article-title>. <source>Front Oncol</source> (<year>2021</year>) <volume>11</volume>:<elocation-id>562315</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fonc.2021.562315</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mangan</surname> <given-names>BL</given-names>
</name>
<name>
<surname>McAlister</surname> <given-names>RK</given-names>
</name>
<name>
<surname>Balko</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Johnson</surname> <given-names>DB</given-names>
</name>
<name>
<surname>Moslehi</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Gibson</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Evolving insights into the mechanisms of toxicity associated with immune checkpoint inhibitor therapy</article-title>. <source>Br J Clin Pharmacol</source> (<year>2020</year>) <volume>86</volume>(<issue>9</issue>):<page-range>1778&#x2013;89</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/bcp.14433</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Petricciuolo</surname> <given-names>S</given-names>
</name>
<name>
<surname>Delle Donne</surname> <given-names>MG</given-names>
</name>
<name>
<surname>Aimo</surname> <given-names>A</given-names>
</name>
<name>
<surname>Chella</surname> <given-names>A</given-names>
</name>
<name>
<surname>De Caterina</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Pre-treatment high-sensitivity troponin T for the short-term prediction of cardiac outcomes in patients on immune checkpoint inhibitors</article-title>. <source>Eur J Clin Invest</source> (<year>2021</year>) <volume>51</volume>(<issue>4</issue>):<fpage>e13400</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/eci.13400</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Moey</surname> <given-names>MYY</given-names>
</name>
<name>
<surname>Tomdio</surname> <given-names>AN</given-names>
</name>
<name>
<surname>McCallen</surname> <given-names>JD</given-names>
</name>
<name>
<surname>Vaughan</surname> <given-names>LM</given-names>
</name>
<name>
<surname>O&#x2019;Brien</surname> <given-names>K</given-names>
</name>
<name>
<surname>Naqash</surname> <given-names>AR</given-names>
</name>
<etal/>
</person-group>. <article-title>Characterization of immune checkpoint inhibitor-related cardiotoxicity in lung cancer patients from a rural setting</article-title>. <source>JACC Cardio Oncol</source> (<year>2020</year>) <volume>2</volume>(<issue>3</issue>):<fpage>491</fpage>&#x2013;<lpage>502</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jaccao.2020.07.005</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rubio-Infante</surname> <given-names>N</given-names>
</name>
<name>
<surname>Ram&#xed;rez-Flores</surname> <given-names>YA</given-names>
</name>
<name>
<surname>Castillo</surname> <given-names>EC</given-names>
</name>
<name>
<surname>Lozano</surname> <given-names>O</given-names>
</name>
<name>
<surname>Garc&#xed;a-Rivas</surname> <given-names>G</given-names>
</name>
<name>
<surname>Torre-Amione</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Cardiotoxicity associated with immune checkpoint inhibitor therapy: a meta-analysis</article-title>. <source>Eur J Heart Failure</source> (<year>2021</year>) <volume>23</volume>(<issue>10</issue>):<page-range>1739&#x2013;47</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ejhf.2289</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Waheed</surname> <given-names>N</given-names>
</name>
<name>
<surname>Fradley</surname> <given-names>MG</given-names>
</name>
<name>
<surname>DeRemer</surname> <given-names>DL</given-names>
</name>
<name>
<surname>Mahmoud</surname> <given-names>A</given-names>
</name>
<name>
<surname>Shah</surname> <given-names>CP</given-names>
</name>
<name>
<surname>Langaee</surname> <given-names>TY</given-names>
</name>
<etal/>
</person-group>. <article-title>Newly diagnosed cardiovascular disease in patients treated with immune checkpoint inhibitors: a retrospective analysis of patients at an academic tertiary care center</article-title>. <source>Cardio-oncol (London England)</source> (<year>2021</year>) <volume>7</volume>(<issue>1</issue>):<elocation-id>10</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s40959-021-00097-9</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rothman</surname> <given-names>KJ</given-names>
</name>
<name>
<surname>Lanes</surname> <given-names>S</given-names>
</name>
<name>
<surname>Sacks</surname> <given-names>ST</given-names>
</name>
</person-group>. <article-title>The reporting odds ratio and its advantages over the proportional reporting ratio</article-title>. <source>Pharmacoepidemiol Drug Saf</source> (<year>2004</year>) <volume>13</volume>(<issue>8</issue>):<page-range>519&#x2013;23</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/pds.1001</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hasegawa</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ikesue</surname> <given-names>H</given-names>
</name>
<name>
<surname>Nakao</surname> <given-names>S</given-names>
</name>
<name>
<surname>Shimada</surname> <given-names>K</given-names>
</name>
<name>
<surname>Mukai</surname> <given-names>R</given-names>
</name>
<name>
<surname>Tanaka</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Analysis of immune-related adverse events caused by immune checkpoint inhibitors using the Japanese adverse drug event report database</article-title>. <source>Pharmacoepidemiol Drug Saf</source> (<year>2020</year>) <volume>29</volume>(<issue>10</issue>):<page-range>1279&#x2013;94</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/pds.5108</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chung</surname> <given-names>WB</given-names>
</name>
<name>
<surname>Youn</surname> <given-names>JC</given-names>
</name>
<name>
<surname>Youn</surname> <given-names>HJ</given-names>
</name>
</person-group>. <article-title>Cardiovascular complications of novel anti-cancer immunotherapy: Old problems from new agents</article-title>? <source>Korean Circ J</source> (<year>2020</year>) <volume>50</volume>(<issue>9</issue>):<page-range>743&#x2013;53</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4070/kcj.2020.0158</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>C</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>T</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>X</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Cardiotoxicity induced by immune checkpoint inhibitors: A pharmacovigilance study from 2014 to 2019 based on FAERS</article-title>. <source>Front Pharmacol</source> (<year>2021</year>) <volume>12</volume>:<elocation-id>616505</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fphar.2021.616505</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Marin-Acevedo</surname> <given-names>JA</given-names>
</name>
<name>
<surname>Chirila</surname> <given-names>RM</given-names>
</name>
<name>
<surname>Dronca</surname> <given-names>RS</given-names>
</name>
</person-group>. <article-title>Immune checkpoint inhibitor toxicities</article-title>. <source>Mayo Clin Proc Mayo Clin</source> (<year>2019</year>) <volume>94</volume>(<issue>7</issue>):<page-range>1321&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.mayocp.2019.03.012</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bajwa</surname> <given-names>R</given-names>
</name>
<name>
<surname>Cheema</surname> <given-names>A</given-names>
</name>
<name>
<surname>Khan</surname> <given-names>T</given-names>
</name>
<name>
<surname>Amirpour</surname> <given-names>A</given-names>
</name>
<name>
<surname>Paul</surname> <given-names>A</given-names>
</name>
<name>
<surname>Chaughtai</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Adverse effects of immune checkpoint inhibitors (Programmed death-1 inhibitors and cytotoxic T-Lymphocyte-Associated protein-4 inhibitors): Results of a retrospective study</article-title>. <source>J Clin Med Res</source> (<year>2019</year>) <volume>11</volume>(<issue>4</issue>):<page-range>225&#x2013;36</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.14740/jocmr3750</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shalata</surname> <given-names>W</given-names>
</name>
<name>
<surname>Abu-Salman</surname> <given-names>A</given-names>
</name>
<name>
<surname>Steckbeck</surname> <given-names>R</given-names>
</name>
<name>
<surname>Mathew Jacob</surname> <given-names>B</given-names>
</name>
<name>
<surname>Massalha</surname> <given-names>I</given-names>
</name>
<name>
<surname>Yakobson</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Cardiac toxicity associated with immune checkpoint inhibitors: A systematic review</article-title>. <source>Cancers</source> (<year>2021</year>) <volume>13</volume>(<issue>20</issue>):<elocation-id>5218</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers13205218</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ruan</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zheng</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kowal</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>Cardiovascular disease (CVD) and associated risk factors among older adults in six low-and middle-income countries: results from SAGE wave 1</article-title>. <source>BMC Public Health</source> (<year>2018</year>) <volume>18</volume>(<issue>1</issue>):<fpage>778</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12889-018-5653-9</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Michot</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Bigenwald</surname> <given-names>C</given-names>
</name>
<name>
<surname>Champiat</surname> <given-names>S</given-names>
</name>
<name>
<surname>Collins</surname> <given-names>M</given-names>
</name>
<name>
<surname>Carbonnel</surname> <given-names>F</given-names>
</name>
<name>
<surname>Postel-Vinay</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Immune-related adverse events with immune checkpoint blockade: a comprehensive review</article-title>. <source>Eur J Cancer (Oxford England: 1990)</source> (<year>2016</year>) <volume>54</volume>:<page-range>139&#x2013;48</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ejca.2015.11.016</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>DY</given-names>
</name>
<name>
<surname>Salem</surname> <given-names>JE</given-names>
</name>
<name>
<surname>Cohen</surname> <given-names>JV</given-names>
</name>
<name>
<surname>Chandra</surname> <given-names>S</given-names>
</name>
<name>
<surname>Menzer</surname> <given-names>C</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Fatal toxic effects associated with immune checkpoint inhibitors: A systematic review and meta-analysis</article-title>. <source>JAMA Oncol</source> (<year>2018</year>) <volume>4</volume>(<issue>12</issue>):<page-range>1721&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamaoncol.2018.3923</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chitturi</surname> <given-names>KR</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>J</given-names>
</name>
<name>
<surname>Araujo-Gutierrez</surname> <given-names>R</given-names>
</name>
<name>
<surname>Bhimaraj</surname> <given-names>A</given-names>
</name>
<name>
<surname>Guha</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hussain</surname> <given-names>I</given-names>
</name>
<etal/>
</person-group>. <article-title>Immune checkpoint inhibitor-related adverse cardiovascular events in patients with lung cancer</article-title>. <source>JACC Cardio Oncol</source> (<year>2019</year>) <volume>1</volume>(<issue>2</issue>):<page-range>182&#x2013;92</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jaccao.2019.11.013</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dolladille</surname> <given-names>C</given-names>
</name>
<name>
<surname>Ederhy</surname> <given-names>S</given-names>
</name>
<name>
<surname>Allouche</surname> <given-names>S</given-names>
</name>
<name>
<surname>Dupas</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Gervais</surname> <given-names>R</given-names>
</name>
<name>
<surname>Madelaine</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Late cardiac adverse events in patients with cancer treated with immune checkpoint inhibitors</article-title>. <source>J Immunother Cancer</source> (<year>2020</year>) <volume>8</volume>(<issue>1</issue>):<fpage>e000261</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/jitc-2019-000261</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>D&#x2019;Souza</surname> <given-names>M</given-names>
</name>
<name>
<surname>Nielsen</surname> <given-names>D</given-names>
</name>
<name>
<surname>Svane</surname> <given-names>IM</given-names>
</name>
<name>
<surname>Iversen</surname> <given-names>K</given-names>
</name>
<name>
<surname>Rasmussen</surname> <given-names>PV</given-names>
</name>
<name>
<surname>Madelaire</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>The risk of cardiac events in patients receiving immune checkpoint inhibitors: a nationwide Danish study</article-title>. <source>Eur Heart J</source> (<year>2020</year>) <volume>42</volume>(<issue>16</issue>):<page-range>1621&#x2013;31</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/eurheartj/ehaa884</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sun</surname> <given-names>L</given-names>
</name>
<name>
<surname>Aggarwal</surname> <given-names>C</given-names>
</name>
<name>
<surname>Cohen</surname> <given-names>RB</given-names>
</name>
</person-group>. <article-title>Immune checkpoint inhibitor-related cardiovascular toxicity in lung cancer: Is routine screening indicated</article-title>? <source>JACC Cardio Oncol</source> (<year>2019</year>) <volume>1</volume>(<issue>2</issue>):<page-range>193&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jaccao.2019.11.014</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Althubaiti</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Information bias in health research: definition, pitfalls, and adjustment methods</article-title>. <source>J Multidiscip Healthc</source> (<year>2016</year>) <volume>9</volume>:<page-range>211&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2147/JMDH.S104807</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mahmood</surname> <given-names>SS</given-names>
</name>
<name>
<surname>Fradley</surname> <given-names>MG</given-names>
</name>
<name>
<surname>Cohen</surname> <given-names>JV</given-names>
</name>
<name>
<surname>Nohria</surname> <given-names>A</given-names>
</name>
<name>
<surname>Reynolds</surname> <given-names>KL</given-names>
</name>
<name>
<surname>Heinzerling</surname> <given-names>LM</given-names>
</name>
<etal/>
</person-group>. <article-title>Myocarditis in patients treated with immune checkpoint inhibitors</article-title>. <source>J Am Coll Cardiol</source> (<year>2018</year>) <volume>71</volume>(<issue>16</issue>):<page-range>1755&#x2013;64</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jacc.2018.02.037</pub-id>
</citation>
</ref>
<ref id="B45">
<label>45</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>S</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Treatment-related adverse events of PD-1 and PD-L1 inhibitors in clinical trials: a systematic review and meta-analysis</article-title>. <source>JAMA Oncol</source> (<year>2018</year>) <volume>5</volume>(<issue>2019</issue>):<page-range>1008&#x2013;19</page-range>. doi: <pub-id pub-id-type="doi">10.1001/jamaoncol.2019.0393</pub-id>
</citation>
</ref>
<ref id="B46">
<label>46</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Brumberger</surname> <given-names>ZL</given-names>
</name>
<name>
<surname>Branch</surname> <given-names>ME</given-names>
</name>
<name>
<surname>Klein</surname> <given-names>MW</given-names>
</name>
<name>
<surname>Seals</surname> <given-names>A</given-names>
</name>
<name>
<surname>Shapiro</surname> <given-names>MD</given-names>
</name>
<name>
<surname>Vasu</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Cardiotoxicity risk factors with immune checkpoint inhibitors</article-title>. <source>Cardiooncology</source> (<year>2022</year>) <volume>8</volume>(<issue>1</issue>):<elocation-id>3</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s40959-022-00130-5</pub-id>
</citation>
</ref>
<ref id="B47">
<label>47</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>C</given-names>
</name>
<name>
<surname>Bhatti</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Ying</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Immune checkpoint inhibitors-associated cardiotoxicity</article-title>. <source>Cancers (Basel)</source> (<year>2022</year>) <volume>14</volume>(<issue>5</issue>):<elocation-id>1145</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers14051145</pub-id>
</citation>
</ref>
<ref id="B48">
<label>48</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Canale</surname> <given-names>ML</given-names>
</name>
<name>
<surname>Camerini</surname> <given-names>A</given-names>
</name>
<name>
<surname>Casolo</surname> <given-names>G</given-names>
</name>
<name>
<surname>Lilli</surname> <given-names>A</given-names>
</name>
<name>
<surname>Bisceglia</surname> <given-names>I</given-names>
</name>
<name>
<surname>Parrini</surname> <given-names>I</given-names>
</name>
<etal/>
</person-group>. <article-title>Incidence of pericardial effusion in patients with advanced non-small cell lung cancer receiving immunotherapy</article-title>. <source>Adv Ther</source> (<year>2020</year>) <volume>37</volume>(<issue>7</issue>):<page-range>3178&#x2013;84</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12325-020-01386-y</pub-id>
</citation>
</ref>
<ref id="B49">
<label>49</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Joseph</surname> <given-names>L</given-names>
</name>
<name>
<surname>Nickel A</surname> <given-names>C</given-names>
</name>
<name>
<surname>Patel A</surname> <given-names>F</given-names>
</name>
<name>
<surname>Saba</surname> <given-names>N</given-names>
</name>
<name>
<surname>Leon A</surname> <given-names>R</given-names>
</name>
<name>
<surname>El-Chami M</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Incidence of cancer treatment induced arrhythmia associated with immune checkpoint inhibitors</article-title>. <source>J Atr Fibrillation</source> (<year>2021</year>) <volume>13</volume>(<issue>5</issue>):<elocation-id>2461</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.4022/jafib.2461</pub-id>
</citation>
</ref>
<ref id="B50">
<label>50</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cui</surname> <given-names>P</given-names>
</name>
<name>
<surname>Li</surname> <given-names>R</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Tao</surname> <given-names>H</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Comparative effectiveness of pembrolizumab vs. nivolumab in patients with recurrent or advanced NSCLC</article-title>. <source>Sci Rep</source> (<year>2020</year>) <volume>10</volume>:<fpage>13160</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-020-70207-7</pub-id>
</citation>
</ref>
<ref id="B51">
<label>51</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ramos-Casals</surname> <given-names>M</given-names>
</name>
<name>
<surname>Brahmer</surname> <given-names>JR</given-names>
</name>
<name>
<surname>Callahan</surname> <given-names>MK</given-names>
</name>
<name>
<surname>Flores-Ch&#xe1;vez</surname> <given-names>A</given-names>
</name>
<name>
<surname>Keegan</surname> <given-names>N</given-names>
</name>
<name>
<surname>Khamashta</surname> <given-names>MA</given-names>
</name>
<etal/>
</person-group>. <article-title>Immune-related adverse events of checkpoint inhibitors</article-title>. <source>Nat Rev Dis Primers</source> (<year>2020</year>) <volume>6</volume>(<issue>1</issue>):<elocation-id>38</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41572-020-0160-6</pub-id>
</citation>
</ref>
<ref id="B52">
<label>52</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kadono</surname> <given-names>T</given-names>
</name>
</person-group>. <article-title>Nihon rinsho men'eki gakkai kaishi</article-title>. <source>Japanese J Clin Immunol</source> (<year>2017</year>) <volume>40</volume>(<issue>2</issue>):<page-range>83&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2177/jsci.40.83</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>