Publication bias in pharmacogenetics of adverse reaction to antiseizure drugs: An umbrella review and a meta-epidemiological study
Publication bias may lead to a misestimation in the association between pharmacogenetic biomarkers (PGx) and antiseizure drug's adverse effects (AEs). We aimed to assess its prevalence in this field. We searched for systematic reviews assessing PGx of antiseizure drug's AEs. For each uniqu...
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| Veröffentlicht in: | PloS one 2022-12, Vol.17 (12), p.e0278839 |
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| creator | Bally, S Cottin, J Gagnieu, M C Lega, J C Verstuyft, C Rheims, S Lesca, G Cucherat, M Grenet, Guillaume |
| description | Publication bias may lead to a misestimation in the association between pharmacogenetic biomarkers (PGx) and antiseizure drug's adverse effects (AEs). We aimed to assess its prevalence in this field. We searched for systematic reviews assessing PGx of antiseizure drug's AEs. For each unique association between a PGx, a drug and its AE, we used the available odds ratio (ORs) to generate corresponding funnel plots. We estimated the prevalence of publication bias using visual inspections and asymmetry tests. We explored the impact of publication bias using ORs adjusted for potential publication bias. Twenty-two associations were available. Our visual analysis suggested a publication bias in five out twenty-two funnel plots (23% [95%CI: 8; 45]). The Egger's test showed a significant publication bias in one (HLA-B*15:02 and phenytoin-induced Stevens-Johnson syndrome or toxic epidermal necrolysis, p = 0.03) out of nine (11% [95%CI: 0; 48]) and the Begg's test in one (HLA-B*15:02 and carbamazepine-induced serious cutaneous reactions, p = 0.02) out of ten (10% [95%CI: 0; 45]) assessable funnel plots. Adjusting for publication bias may reduce by half the ORs of the pharmacogenetics associations. Publication bias in the pharmacogenetic of antiseizure drug's AEs is not uncommon and may affect the estimation of the effect of such biomarkers. When conducting pharmacogenetic studies, it is critical to publish also the negative one. |
| doi_str_mv | 10.1371/journal.pone.0278839 |
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We aimed to assess its prevalence in this field. We searched for systematic reviews assessing PGx of antiseizure drug's AEs. For each unique association between a PGx, a drug and its AE, we used the available odds ratio (ORs) to generate corresponding funnel plots. We estimated the prevalence of publication bias using visual inspections and asymmetry tests. We explored the impact of publication bias using ORs adjusted for potential publication bias. Twenty-two associations were available. Our visual analysis suggested a publication bias in five out twenty-two funnel plots (23% [95%CI: 8; 45]). The Egger's test showed a significant publication bias in one (HLA-B*15:02 and phenytoin-induced Stevens-Johnson syndrome or toxic epidermal necrolysis, p = 0.03) out of nine (11% [95%CI: 0; 48]) and the Begg's test in one (HLA-B*15:02 and carbamazepine-induced serious cutaneous reactions, p = 0.02) out of ten (10% [95%CI: 0; 45]) assessable funnel plots. Adjusting for publication bias may reduce by half the ORs of the pharmacogenetics associations. Publication bias in the pharmacogenetic of antiseizure drug's AEs is not uncommon and may affect the estimation of the effect of such biomarkers. When conducting pharmacogenetic studies, it is critical to publish also the negative one.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0278839</identifier><identifier>PMID: 36584134</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Anticonvulsants ; Bias ; Biology and Life Sciences ; Biomarkers ; Carbamazepine ; Citations ; Complications and side effects ; Confidence intervals ; Data Analysis, Statistics and Probability ; Drugs ; Epidemiologic Studies ; Epidemiology ; Estimates ; Genotype & phenotype ; Health risks ; Histocompatibility antigens ; HLA histocompatibility antigens ; HLA-B Antigens ; Human health and pathology ; Humans ; Hypotheses ; Information management ; Information sources ; Life Sciences ; Medical ethics ; Medicine and Health Sciences ; Meta-analysis ; Patient outcomes ; Pharmaceutical sciences ; Pharmacogenetics ; Pharmacology ; Phenytoin ; Physical Sciences ; Physics ; Polymorphism ; Psychiatrics and mental health ; Publication Bias ; Research and Analysis Methods ; Santé publique et épidémiologie ; Science Policy ; Stevens-Johnson Syndrome ; Systematic review ; Systematic Reviews as Topic ; Toxic epidermal necrolysis</subject><ispartof>PloS one, 2022-12, Vol.17 (12), p.e0278839</ispartof><rights>Copyright: © 2022 Bally et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Bally et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>2022 Bally et al 2022 Bally et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c726t-70ff384e9140b2d2fa23d485ebd96fe83512a62fecdf8155e740007bc047a3c83</citedby><cites>FETCH-LOGICAL-c726t-70ff384e9140b2d2fa23d485ebd96fe83512a62fecdf8155e740007bc047a3c83</cites><orcidid>0000-0003-2150-5932 ; 0000-0002-5237-2581 ; 0000-0001-7691-9492 ; 0000-0002-4663-8515</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803138/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803138/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36584134$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04627744$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Bally, S</creatorcontrib><creatorcontrib>Cottin, J</creatorcontrib><creatorcontrib>Gagnieu, M C</creatorcontrib><creatorcontrib>Lega, J C</creatorcontrib><creatorcontrib>Verstuyft, C</creatorcontrib><creatorcontrib>Rheims, S</creatorcontrib><creatorcontrib>Lesca, G</creatorcontrib><creatorcontrib>Cucherat, M</creatorcontrib><creatorcontrib>Grenet, Guillaume</creatorcontrib><title>Publication bias in pharmacogenetics of adverse reaction to antiseizure drugs: An umbrella review and a meta-epidemiological study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Publication bias may lead to a misestimation in the association between pharmacogenetic biomarkers (PGx) and antiseizure drug's adverse effects (AEs). We aimed to assess its prevalence in this field. We searched for systematic reviews assessing PGx of antiseizure drug's AEs. For each unique association between a PGx, a drug and its AE, we used the available odds ratio (ORs) to generate corresponding funnel plots. We estimated the prevalence of publication bias using visual inspections and asymmetry tests. We explored the impact of publication bias using ORs adjusted for potential publication bias. Twenty-two associations were available. Our visual analysis suggested a publication bias in five out twenty-two funnel plots (23% [95%CI: 8; 45]). The Egger's test showed a significant publication bias in one (HLA-B*15:02 and phenytoin-induced Stevens-Johnson syndrome or toxic epidermal necrolysis, p = 0.03) out of nine (11% [95%CI: 0; 48]) and the Begg's test in one (HLA-B*15:02 and carbamazepine-induced serious cutaneous reactions, p = 0.02) out of ten (10% [95%CI: 0; 45]) assessable funnel plots. 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When conducting pharmacogenetic studies, it is critical to publish also the negative one.</description><subject>Analysis</subject><subject>Anticonvulsants</subject><subject>Bias</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Carbamazepine</subject><subject>Citations</subject><subject>Complications and side effects</subject><subject>Confidence intervals</subject><subject>Data Analysis, Statistics and Probability</subject><subject>Drugs</subject><subject>Epidemiologic Studies</subject><subject>Epidemiology</subject><subject>Estimates</subject><subject>Genotype & phenotype</subject><subject>Health risks</subject><subject>Histocompatibility antigens</subject><subject>HLA histocompatibility antigens</subject><subject>HLA-B Antigens</subject><subject>Human health and pathology</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Information management</subject><subject>Information sources</subject><subject>Life 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bias in pharmacogenetics of adverse reaction to antiseizure drugs: An umbrella review and a meta-epidemiological study</title><author>Bally, S ; Cottin, J ; Gagnieu, M C ; Lega, J C ; Verstuyft, C ; Rheims, S ; Lesca, G ; Cucherat, M ; Grenet, Guillaume</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c726t-70ff384e9140b2d2fa23d485ebd96fe83512a62fecdf8155e740007bc047a3c83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analysis</topic><topic>Anticonvulsants</topic><topic>Bias</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Carbamazepine</topic><topic>Citations</topic><topic>Complications and side effects</topic><topic>Confidence intervals</topic><topic>Data Analysis, Statistics and Probability</topic><topic>Drugs</topic><topic>Epidemiologic Studies</topic><topic>Epidemiology</topic><topic>Estimates</topic><topic>Genotype & 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bias may lead to a misestimation in the association between pharmacogenetic biomarkers (PGx) and antiseizure drug's adverse effects (AEs). We aimed to assess its prevalence in this field. We searched for systematic reviews assessing PGx of antiseizure drug's AEs. For each unique association between a PGx, a drug and its AE, we used the available odds ratio (ORs) to generate corresponding funnel plots. We estimated the prevalence of publication bias using visual inspections and asymmetry tests. We explored the impact of publication bias using ORs adjusted for potential publication bias. Twenty-two associations were available. Our visual analysis suggested a publication bias in five out twenty-two funnel plots (23% [95%CI: 8; 45]). The Egger's test showed a significant publication bias in one (HLA-B*15:02 and phenytoin-induced Stevens-Johnson syndrome or toxic epidermal necrolysis, p = 0.03) out of nine (11% [95%CI: 0; 48]) and the Begg's test in one (HLA-B*15:02 and carbamazepine-induced serious cutaneous reactions, p = 0.02) out of ten (10% [95%CI: 0; 45]) assessable funnel plots. 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| recordid | cdi_plos_journals_2759699889 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
| subjects | Analysis Anticonvulsants Bias Biology and Life Sciences Biomarkers Carbamazepine Citations Complications and side effects Confidence intervals Data Analysis, Statistics and Probability Drugs Epidemiologic Studies Epidemiology Estimates Genotype & phenotype Health risks Histocompatibility antigens HLA histocompatibility antigens HLA-B Antigens Human health and pathology Humans Hypotheses Information management Information sources Life Sciences Medical ethics Medicine and Health Sciences Meta-analysis Patient outcomes Pharmaceutical sciences Pharmacogenetics Pharmacology Phenytoin Physical Sciences Physics Polymorphism Psychiatrics and mental health Publication Bias Research and Analysis Methods Santé publique et épidémiologie Science Policy Stevens-Johnson Syndrome Systematic review Systematic Reviews as Topic Toxic epidermal necrolysis |
| title | Publication bias in pharmacogenetics of adverse reaction to antiseizure drugs: An umbrella review and a meta-epidemiological study |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T18%3A37%3A36IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Publication%20bias%20in%20pharmacogenetics%20of%20adverse%20reaction%20to%20antiseizure%20drugs:%20An%20umbrella%20review%20and%20a%20meta-epidemiological%20study&rft.jtitle=PloS%20one&rft.au=Bally,%20S&rft.date=2022-12-30&rft.volume=17&rft.issue=12&rft.spage=e0278839&rft.pages=e0278839-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0278839&rft_dat=%3Cgale_plos_%3EA731743524%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2759699889&rft_id=info:pmid/36584134&rft_galeid=A731743524&rft_doaj_id=oai_doaj_org_article_f7e12b2723c74a1bb220ae372768511a&rfr_iscdi=true |