A Gougeon, I Aribi, S Guernouche, J C Lega, J M Wright, C Verstuyft, A Lajoinie, F Gueyffier, G Grenet
{"title":"他汀类药物相关肌肉症状药物遗传学的发表偏差:一项荟萃流行病学研究。","authors":"A Gougeon, I Aribi, S Guernouche, J C Lega, J M Wright, C Verstuyft, A Lajoinie, F Gueyffier, G Grenet","doi":"10.1016/j.atherosclerosis.2024.118624","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aims: </strong>Statin-associated muscle symptoms (SAMS) are a major cause of treatment discontinuation. Clinical Pharmacogenetics Implementation Consortium (CPIC) recommend dose adjustment for statin treatment according to known SLCO1B1 genotype to reduce SAMS. We hypothesized that the association between SLCO1B1 genotype and SAMS is misestimated because of publication bias.</p><p><strong>Methods: </strong>We searched published systematic reviews on the association between SLCO1B1 genotype and SAMS. To assessed publication bias, we used funnel plot visual inspection, Egger's test, and the Bayes Factor (BF<sub>Publication-bias</sub>) from Robust Bayesian Meta-Analysis (RoBMA). We compared the odds ratios (OR<sub>Uncorrected</sub>) from meta-analyses before and after correcting for publication bias using trim-and-fill (OR<sub>Trim&Fill</sub>) and RoBMA (OR<sub>RoBMA</sub>) methods.</p><p><strong>Results: </strong>We included 8 cohort and 11 case-control studies, totaling 62 OR of three SLCO1B1 genotypes and six statin drugs. In the primary analysis, the funnel plot was suggestive of publication bias, confirmed by Egger's test (p=0.001) and RoBMA (BF<sub>Publication-bias</sub> = 18). Correcting the estimate for publication bias resulted in loss of the association, from a significant OR<sub>Uncorrected</sub> (1.31 95%CI [1.13-1.53]) to corrected ORs suggesting no difference: OR<sub>Trim&Fill</sub> (1.07 95%CI [0.89-1.30]) and OR<sub>RoBMA</sub> (1.02 95%CI [1.00-1.33]). This suggested that publication bias overestimated the association by 18 % and 23 %, respectively. Similar results were found for genotype rs4149056, simvastatin and atorvastatin.</p><p><strong>Conclusions: </strong>The effect of the SLCO1B1 genotype on the risk of developing SAMS is overestimated in the published literature, especially rs4149056. This could lead prescribers to incorrectly decreasing statin doses or even avoiding statin use, leading to a loss of the potential cardiovascular benefit of statins.</p>","PeriodicalId":8623,"journal":{"name":"Atherosclerosis","volume":null,"pages":null},"PeriodicalIF":4.9000,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Publication bias in pharmacogenetics of statin-associated muscle symptoms: A meta-epidemiological study.\",\"authors\":\"A Gougeon, I Aribi, S Guernouche, J C Lega, J M Wright, C Verstuyft, A Lajoinie, F Gueyffier, G Grenet\",\"doi\":\"10.1016/j.atherosclerosis.2024.118624\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background and aims: </strong>Statin-associated muscle symptoms (SAMS) are a major cause of treatment discontinuation. Clinical Pharmacogenetics Implementation Consortium (CPIC) recommend dose adjustment for statin treatment according to known SLCO1B1 genotype to reduce SAMS. We hypothesized that the association between SLCO1B1 genotype and SAMS is misestimated because of publication bias.</p><p><strong>Methods: </strong>We searched published systematic reviews on the association between SLCO1B1 genotype and SAMS. To assessed publication bias, we used funnel plot visual inspection, Egger's test, and the Bayes Factor (BF<sub>Publication-bias</sub>) from Robust Bayesian Meta-Analysis (RoBMA). We compared the odds ratios (OR<sub>Uncorrected</sub>) from meta-analyses before and after correcting for publication bias using trim-and-fill (OR<sub>Trim&Fill</sub>) and RoBMA (OR<sub>RoBMA</sub>) methods.</p><p><strong>Results: </strong>We included 8 cohort and 11 case-control studies, totaling 62 OR of three SLCO1B1 genotypes and six statin drugs. In the primary analysis, the funnel plot was suggestive of publication bias, confirmed by Egger's test (p=0.001) and RoBMA (BF<sub>Publication-bias</sub> = 18). Correcting the estimate for publication bias resulted in loss of the association, from a significant OR<sub>Uncorrected</sub> (1.31 95%CI [1.13-1.53]) to corrected ORs suggesting no difference: OR<sub>Trim&Fill</sub> (1.07 95%CI [0.89-1.30]) and OR<sub>RoBMA</sub> (1.02 95%CI [1.00-1.33]). This suggested that publication bias overestimated the association by 18 % and 23 %, respectively. Similar results were found for genotype rs4149056, simvastatin and atorvastatin.</p><p><strong>Conclusions: </strong>The effect of the SLCO1B1 genotype on the risk of developing SAMS is overestimated in the published literature, especially rs4149056. This could lead prescribers to incorrectly decreasing statin doses or even avoiding statin use, leading to a loss of the potential cardiovascular benefit of statins.</p>\",\"PeriodicalId\":8623,\"journal\":{\"name\":\"Atherosclerosis\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2024-10-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Atherosclerosis\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.atherosclerosis.2024.118624\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Atherosclerosis","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.atherosclerosis.2024.118624","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
Publication bias in pharmacogenetics of statin-associated muscle symptoms: A meta-epidemiological study.
Background and aims: Statin-associated muscle symptoms (SAMS) are a major cause of treatment discontinuation. Clinical Pharmacogenetics Implementation Consortium (CPIC) recommend dose adjustment for statin treatment according to known SLCO1B1 genotype to reduce SAMS. We hypothesized that the association between SLCO1B1 genotype and SAMS is misestimated because of publication bias.
Methods: We searched published systematic reviews on the association between SLCO1B1 genotype and SAMS. To assessed publication bias, we used funnel plot visual inspection, Egger's test, and the Bayes Factor (BFPublication-bias) from Robust Bayesian Meta-Analysis (RoBMA). We compared the odds ratios (ORUncorrected) from meta-analyses before and after correcting for publication bias using trim-and-fill (ORTrim&Fill) and RoBMA (ORRoBMA) methods.
Results: We included 8 cohort and 11 case-control studies, totaling 62 OR of three SLCO1B1 genotypes and six statin drugs. In the primary analysis, the funnel plot was suggestive of publication bias, confirmed by Egger's test (p=0.001) and RoBMA (BFPublication-bias = 18). Correcting the estimate for publication bias resulted in loss of the association, from a significant ORUncorrected (1.31 95%CI [1.13-1.53]) to corrected ORs suggesting no difference: ORTrim&Fill (1.07 95%CI [0.89-1.30]) and ORRoBMA (1.02 95%CI [1.00-1.33]). This suggested that publication bias overestimated the association by 18 % and 23 %, respectively. Similar results were found for genotype rs4149056, simvastatin and atorvastatin.
Conclusions: The effect of the SLCO1B1 genotype on the risk of developing SAMS is overestimated in the published literature, especially rs4149056. This could lead prescribers to incorrectly decreasing statin doses or even avoiding statin use, leading to a loss of the potential cardiovascular benefit of statins.
期刊介绍:
Atherosclerosis has an open access mirror journal Atherosclerosis: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
Atherosclerosis brings together, from all sources, papers concerned with investigation on atherosclerosis, its risk factors and clinical manifestations. Atherosclerosis covers basic and translational, clinical and population research approaches to arterial and vascular biology and disease, as well as their risk factors including: disturbances of lipid and lipoprotein metabolism, diabetes and hypertension, thrombosis, and inflammation. The Editors are interested in original or review papers dealing with the pathogenesis, environmental, genetic and epigenetic basis, diagnosis or treatment of atherosclerosis and related diseases as well as their risk factors.