Factors associated with findings of published trials of drug-drug comparisons: why some statins appear more efficacious than others
Published pharmaceutical industry-sponsored trials are more likely than non-industry-sponsored trials to report results and conclusions that favor drug over placebo. Little is known about potential biases in drug-drug comparisons. This study examined associations between research funding source, stu...
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description | Published pharmaceutical industry-sponsored trials are more likely than non-industry-sponsored trials to report results and conclusions that favor drug over placebo. Little is known about potential biases in drug-drug comparisons. This study examined associations between research funding source, study design characteristics aimed at reducing bias, and other factors that potentially influence results and conclusions in randomized controlled trials (RCTs) of statin-drug comparisons.
This is a cross-sectional study of 192 published RCTs comparing a statin drug to another statin drug or non-statin drug. Data on concealment of allocation, selection bias, blinding, sample size, disclosed funding source, financial ties of authors, results for primary outcomes, and author conclusions were extracted by two coders (weighted kappa 0.80 to 0.97). Univariate and multivariate logistic regression identified associations between independent variables and favorable results and conclusions. Of the RCTs, 50% (95/192) were funded by industry, and 37% (70/192) did not disclose any funding source. Looking at the totality of available evidence, we found that almost all studies (98%, 189/192) used only surrogate outcome measures. Moreover, study design weaknesses common to published statin-drug comparisons included inadequate blinding, lack of concealment of allocation, poor follow-up, and lack of intention-to-treat analyses. In multivariate analysis of the full sample, trials with adequate blinding were less likely to report results favoring the test drug, and sample size was associated with favorable conclusions when controlling for other factors. In multivariate analysis of industry-funded RCTs, funding from the test drug company was associated with results (odds ratio = 20.16 [95% confidence interval 4.37-92.98], p < 0.001) and conclusions (odds ratio = 34.55 [95% confidence interval 7.09-168.4], p < 0.001) that favor the test drug when controlling for other factors. Studies with adequate blinding were less likely to report statistically significant results favoring the test drug.
RCTs of head-to-head comparisons of statins with other drugs are more likely to report results and conclusions favoring the sponsor's product compared to the comparator drug. This bias in drug-drug comparison trials should be considered when making decisions regarding drug choice. |
doi_str_mv | 10.1371/journal.pmed.0040184 |
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This is a cross-sectional study of 192 published RCTs comparing a statin drug to another statin drug or non-statin drug. Data on concealment of allocation, selection bias, blinding, sample size, disclosed funding source, financial ties of authors, results for primary outcomes, and author conclusions were extracted by two coders (weighted kappa 0.80 to 0.97). Univariate and multivariate logistic regression identified associations between independent variables and favorable results and conclusions. Of the RCTs, 50% (95/192) were funded by industry, and 37% (70/192) did not disclose any funding source. Looking at the totality of available evidence, we found that almost all studies (98%, 189/192) used only surrogate outcome measures. Moreover, study design weaknesses common to published statin-drug comparisons included inadequate blinding, lack of concealment of allocation, poor follow-up, and lack of intention-to-treat analyses. In multivariate analysis of the full sample, trials with adequate blinding were less likely to report results favoring the test drug, and sample size was associated with favorable conclusions when controlling for other factors. In multivariate analysis of industry-funded RCTs, funding from the test drug company was associated with results (odds ratio = 20.16 [95% confidence interval 4.37-92.98], p < 0.001) and conclusions (odds ratio = 34.55 [95% confidence interval 7.09-168.4], p < 0.001) that favor the test drug when controlling for other factors. Studies with adequate blinding were less likely to report statistically significant results favoring the test drug.
RCTs of head-to-head comparisons of statins with other drugs are more likely to report results and conclusions favoring the sponsor's product compared to the comparator drug. This bias in drug-drug comparison trials should be considered when making decisions regarding drug choice.</description><identifier>ISSN: 1549-1676</identifier><identifier>ISSN: 1549-1277</identifier><identifier>EISSN: 1549-1676</identifier><identifier>DOI: 10.1371/journal.pmed.0040184</identifier><identifier>PMID: 17550302</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Bias ; Cardiovascular Disorders ; Cardiovascular Medicine ; Cholesterol ; Clinical trials ; Conflict of Interest ; Drug Industry ; Drugs ; Drugs and adverse drug reactions ; Epidemiology ; Evidence Based Practice ; Evidence-Based Healthcare ; Humans ; Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use ; Methods ; Non-Clinical Medicine ; Pharmaceutical research ; Pharmacology ; Prevention ; Product/Service Evaluations ; Public Health ; Public Health and Epidemiology ; Publication Bias ; Randomized Controlled Trials as Topic - standards ; Randomized Controlled Trials as Topic - statistics & numerical data ; Research bias ; Research Support as Topic ; Social aspects ; Statins ; Studies ; Treatment Outcome</subject><ispartof>PLoS medicine, 2007-06, Vol.4 (6), p.e184-e184</ispartof><rights>COPYRIGHT 2007 Public Library of Science</rights><rights>2007 Bero 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: Bero L, Oostvogel F, Bacchetti P, Lee K (2007) Factors Associated with Findings of Published Trials of Drug-Drug Comparisons: Why Some Statins Appear More Efficacious than Others. PLoS Med 4(6): e184. doi:10.1371/journal.pmed.0040184</rights><rights>2007 Bero et al. 2007</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c734t-bf57719f2af071d30bcd845e087dff5222b055d37c34d638c34df70fd9fde3c23</citedby><cites>FETCH-LOGICAL-c734t-bf57719f2af071d30bcd845e087dff5222b055d37c34d638c34df70fd9fde3c23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1885451/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC1885451/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17550302$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Liberati, Alessandro</contributor><creatorcontrib>Bero, Lisa</creatorcontrib><creatorcontrib>Oostvogel, Fieke</creatorcontrib><creatorcontrib>Bacchetti, Peter</creatorcontrib><creatorcontrib>Lee, Kirby</creatorcontrib><title>Factors associated with findings of published trials of drug-drug comparisons: why some statins appear more efficacious than others</title><title>PLoS medicine</title><addtitle>PLoS Med</addtitle><description>Published pharmaceutical industry-sponsored trials are more likely than non-industry-sponsored trials to report results and conclusions that favor drug over placebo. Little is known about potential biases in drug-drug comparisons. This study examined associations between research funding source, study design characteristics aimed at reducing bias, and other factors that potentially influence results and conclusions in randomized controlled trials (RCTs) of statin-drug comparisons.
This is a cross-sectional study of 192 published RCTs comparing a statin drug to another statin drug or non-statin drug. Data on concealment of allocation, selection bias, blinding, sample size, disclosed funding source, financial ties of authors, results for primary outcomes, and author conclusions were extracted by two coders (weighted kappa 0.80 to 0.97). Univariate and multivariate logistic regression identified associations between independent variables and favorable results and conclusions. Of the RCTs, 50% (95/192) were funded by industry, and 37% (70/192) did not disclose any funding source. Looking at the totality of available evidence, we found that almost all studies (98%, 189/192) used only surrogate outcome measures. Moreover, study design weaknesses common to published statin-drug comparisons included inadequate blinding, lack of concealment of allocation, poor follow-up, and lack of intention-to-treat analyses. In multivariate analysis of the full sample, trials with adequate blinding were less likely to report results favoring the test drug, and sample size was associated with favorable conclusions when controlling for other factors. In multivariate analysis of industry-funded RCTs, funding from the test drug company was associated with results (odds ratio = 20.16 [95% confidence interval 4.37-92.98], p < 0.001) and conclusions (odds ratio = 34.55 [95% confidence interval 7.09-168.4], p < 0.001) that favor the test drug when controlling for other factors. Studies with adequate blinding were less likely to report statistically significant results favoring the test drug.
RCTs of head-to-head comparisons of statins with other drugs are more likely to report results and conclusions favoring the sponsor's product compared to the comparator drug. This bias in drug-drug comparison trials should be considered when making decisions regarding drug choice.</description><subject>Bias</subject><subject>Cardiovascular Disorders</subject><subject>Cardiovascular Medicine</subject><subject>Cholesterol</subject><subject>Clinical trials</subject><subject>Conflict of Interest</subject><subject>Drug Industry</subject><subject>Drugs</subject><subject>Drugs and adverse drug reactions</subject><subject>Epidemiology</subject><subject>Evidence Based Practice</subject><subject>Evidence-Based Healthcare</subject><subject>Humans</subject><subject>Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use</subject><subject>Methods</subject><subject>Non-Clinical Medicine</subject><subject>Pharmaceutical research</subject><subject>Pharmacology</subject><subject>Prevention</subject><subject>Product/Service Evaluations</subject><subject>Public Health</subject><subject>Public Health and Epidemiology</subject><subject>Publication Bias</subject><subject>Randomized Controlled Trials as Topic - standards</subject><subject>Randomized Controlled Trials as Topic - statistics & numerical data</subject><subject>Research bias</subject><subject>Research Support as Topic</subject><subject>Social aspects</subject><subject>Statins</subject><subject>Studies</subject><subject>Treatment Outcome</subject><issn>1549-1676</issn><issn>1549-1277</issn><issn>1549-1676</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>DOA</sourceid><recordid>eNqVk12L1DAUhoso7rr6D0QDwoIXHZO2aVIvhGVxdWBxwa_bkOajzdA23SR13Wv_uOlO1RmZCyWQhJPnvCc5JydJniK4QjlBrzZ2cgPvVmOv5ArCAiJa3EuOES6qFJWkvL-zP0oeeb-BMKtgBR8mR4hgDHOYHSc_LrgI1nnAvbfC8KAkuDGhBdoM0gyNB1aDcao749t4FJzh3Z1NuqlJ5wkI24_cGW8H_xrctLfA214BH3gwQ9QdR8Ud6K1TQGltBBfGTh6Elg_AhlY5_zh5oKOqerKsJ8mXi7efz9-nl1fv1udnl6kgeRHSWmNCUKUzriFBMoe1kLTAClIitcZZltUQY5kTkReyzOm8aAK1rLRUucjyk-T5VnfsrGdL_jxDGaWwInFEYr0lpOUbNjrTc3fLLDfszmBdw7gLRnSKlTUnVBWYVpksUCFrqAVBZS1xybGmKmq9WaJNdSyRUENwvNsT3T8ZTMsa-40hSnGBURQ4XQScvZ6UD6w3Xqiu44OKGWQlRaRA5XzrF3-Bh9-WbqmGx-ubQdsYVTRqUDG4HZQ20XyGyrKilKA5_OoAH4dUvREHHV7uOUQmqO-h4ZP3bP3p43-wH_6dvfq6z57usK3iXWi97aZg4u_cB4stKJz13in9uzAIsrm_fuWQzf3Flv6Kbs92i_rHaWmo_CdwKSL7</recordid><startdate>20070601</startdate><enddate>20070601</enddate><creator>Bero, Lisa</creator><creator>Oostvogel, Fieke</creator><creator>Bacchetti, Peter</creator><creator>Lee, Kirby</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISN</scope><scope>ISR</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><scope>CZK</scope></search><sort><creationdate>20070601</creationdate><title>Factors associated with findings of published trials of drug-drug comparisons: why some statins appear more efficacious than others</title><author>Bero, Lisa ; Oostvogel, Fieke ; Bacchetti, Peter ; Lee, Kirby</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c734t-bf57719f2af071d30bcd845e087dff5222b055d37c34d638c34df70fd9fde3c23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Bias</topic><topic>Cardiovascular Disorders</topic><topic>Cardiovascular Medicine</topic><topic>Cholesterol</topic><topic>Clinical trials</topic><topic>Conflict of Interest</topic><topic>Drug Industry</topic><topic>Drugs</topic><topic>Drugs and adverse drug reactions</topic><topic>Epidemiology</topic><topic>Evidence Based Practice</topic><topic>Evidence-Based Healthcare</topic><topic>Humans</topic><topic>Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use</topic><topic>Methods</topic><topic>Non-Clinical Medicine</topic><topic>Pharmaceutical research</topic><topic>Pharmacology</topic><topic>Prevention</topic><topic>Product/Service Evaluations</topic><topic>Public Health</topic><topic>Public Health and Epidemiology</topic><topic>Publication Bias</topic><topic>Randomized Controlled Trials as Topic - standards</topic><topic>Randomized Controlled Trials as Topic - statistics & numerical data</topic><topic>Research bias</topic><topic>Research Support as Topic</topic><topic>Social aspects</topic><topic>Statins</topic><topic>Studies</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bero, Lisa</creatorcontrib><creatorcontrib>Oostvogel, Fieke</creatorcontrib><creatorcontrib>Bacchetti, Peter</creatorcontrib><creatorcontrib>Lee, Kirby</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><collection>PLoS Medicine</collection><jtitle>PLoS medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bero, Lisa</au><au>Oostvogel, Fieke</au><au>Bacchetti, Peter</au><au>Lee, Kirby</au><au>Liberati, Alessandro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors associated with findings of published trials of drug-drug comparisons: why some statins appear more efficacious than others</atitle><jtitle>PLoS medicine</jtitle><addtitle>PLoS Med</addtitle><date>2007-06-01</date><risdate>2007</risdate><volume>4</volume><issue>6</issue><spage>e184</spage><epage>e184</epage><pages>e184-e184</pages><issn>1549-1676</issn><issn>1549-1277</issn><eissn>1549-1676</eissn><abstract>Published pharmaceutical industry-sponsored trials are more likely than non-industry-sponsored trials to report results and conclusions that favor drug over placebo. Little is known about potential biases in drug-drug comparisons. This study examined associations between research funding source, study design characteristics aimed at reducing bias, and other factors that potentially influence results and conclusions in randomized controlled trials (RCTs) of statin-drug comparisons.
This is a cross-sectional study of 192 published RCTs comparing a statin drug to another statin drug or non-statin drug. Data on concealment of allocation, selection bias, blinding, sample size, disclosed funding source, financial ties of authors, results for primary outcomes, and author conclusions were extracted by two coders (weighted kappa 0.80 to 0.97). Univariate and multivariate logistic regression identified associations between independent variables and favorable results and conclusions. Of the RCTs, 50% (95/192) were funded by industry, and 37% (70/192) did not disclose any funding source. Looking at the totality of available evidence, we found that almost all studies (98%, 189/192) used only surrogate outcome measures. Moreover, study design weaknesses common to published statin-drug comparisons included inadequate blinding, lack of concealment of allocation, poor follow-up, and lack of intention-to-treat analyses. In multivariate analysis of the full sample, trials with adequate blinding were less likely to report results favoring the test drug, and sample size was associated with favorable conclusions when controlling for other factors. In multivariate analysis of industry-funded RCTs, funding from the test drug company was associated with results (odds ratio = 20.16 [95% confidence interval 4.37-92.98], p < 0.001) and conclusions (odds ratio = 34.55 [95% confidence interval 7.09-168.4], p < 0.001) that favor the test drug when controlling for other factors. Studies with adequate blinding were less likely to report statistically significant results favoring the test drug.
RCTs of head-to-head comparisons of statins with other drugs are more likely to report results and conclusions favoring the sponsor's product compared to the comparator drug. This bias in drug-drug comparison trials should be considered when making decisions regarding drug choice.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>17550302</pmid><doi>10.1371/journal.pmed.0040184</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Bias Cardiovascular Disorders Cardiovascular Medicine Cholesterol Clinical trials Conflict of Interest Drug Industry Drugs Drugs and adverse drug reactions Epidemiology Evidence Based Practice Evidence-Based Healthcare Humans Hydroxymethylglutaryl-CoA Reductase Inhibitors - therapeutic use Methods Non-Clinical Medicine Pharmaceutical research Pharmacology Prevention Product/Service Evaluations Public Health Public Health and Epidemiology Publication Bias Randomized Controlled Trials as Topic - standards Randomized Controlled Trials as Topic - statistics & numerical data Research bias Research Support as Topic Social aspects Statins Studies Treatment Outcome |
title | Factors associated with findings of published trials of drug-drug comparisons: why some statins appear more efficacious than others |
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