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Selective publication of antidepressant trials and its influence on apparent efficacy: Updated comparisons and meta-analyses of newer versus older trials
BACKGROUND: Valid assessment of drug efficacy and safety requires an evidence base free of reporting bias. Using trial reports in Food and Drug Administration (FDA) drug approval packages as a gold standard, we previously found that the published literature inflated the apparent efficacy of antidepr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769343/ https://www.ncbi.nlm.nih.gov/pubmed/35045113 http://dx.doi.org/10.1371/journal.pmed.1003886 |
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author | Turner, Erick H. Cipriani, Andrea Furukawa, Toshi A. Salanti, Georgia de Vries, Ymkje Anna |
author_facet | Turner, Erick H. Cipriani, Andrea Furukawa, Toshi A. Salanti, Georgia de Vries, Ymkje Anna |
author_sort | Turner, Erick H. |
collection | PubMed |
description | BACKGROUND: Valid assessment of drug efficacy and safety requires an evidence base free of reporting bias. Using trial reports in Food and Drug Administration (FDA) drug approval packages as a gold standard, we previously found that the published literature inflated the apparent efficacy of antidepressant drugs. The objective of the current study was to determine whether this has improved with recently approved drugs. METHODS AND FINDINGS: Using medical and statistical reviews in FDA drug approval packages, we identified 30 Phase II/III double-blind placebo-controlled acute monotherapy trials, involving 13,747 patients, of desvenlafaxine, vilazodone, levomilnacipran, and vortioxetine; we then identified corresponding published reports. We compared the data from this newer cohort of antidepressants (approved February 2008 to September 2013) with the previously published dataset on 74 trials of 12 older antidepressants (approved December 1987 to August 2002). Using logistic regression, we examined the effects of trial outcome and trial cohort (newer versus older) on transparent reporting (whether published and FDA conclusions agreed). Among newer antidepressants, transparent publication occurred more with positive (15/15 = 100%) than negative (7/15 = 47%) trials (OR 35.1, CI(95%) 1.8 to 693). Controlling for trial outcome, transparent publication occurred more with newer than older trials (OR 6.6, CI(95%) 1.6 to 26.4). Within negative trials, transparent reporting increased from 11% to 47%. We also conducted and contrasted FDA- and journal-based meta-analyses. For newer antidepressants, FDA-based effect size (ES(FDA)) was 0.24 (CI(95%) 0.18 to 0.30), while journal-based effect size (ES(Journals)) was 0.29 (CI(95%) 0.23 to 0.36). Thus, effect size inflation, presumably due to reporting bias, was 0.05, less than for older antidepressants (0.10). Limitations of this study include a small number of trials and drugs—belonging to a single class—and a focus on efficacy (versus safety). CONCLUSIONS: Reporting bias persists but appears to have diminished for newer, compared to older, antidepressants. Continued efforts are needed to further improve transparency in the scientific literature. |
format | Online Article Text |
id | pubmed-8769343 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-87693432022-01-20 Selective publication of antidepressant trials and its influence on apparent efficacy: Updated comparisons and meta-analyses of newer versus older trials Turner, Erick H. Cipriani, Andrea Furukawa, Toshi A. Salanti, Georgia de Vries, Ymkje Anna PLoS Med Research Article BACKGROUND: Valid assessment of drug efficacy and safety requires an evidence base free of reporting bias. Using trial reports in Food and Drug Administration (FDA) drug approval packages as a gold standard, we previously found that the published literature inflated the apparent efficacy of antidepressant drugs. The objective of the current study was to determine whether this has improved with recently approved drugs. METHODS AND FINDINGS: Using medical and statistical reviews in FDA drug approval packages, we identified 30 Phase II/III double-blind placebo-controlled acute monotherapy trials, involving 13,747 patients, of desvenlafaxine, vilazodone, levomilnacipran, and vortioxetine; we then identified corresponding published reports. We compared the data from this newer cohort of antidepressants (approved February 2008 to September 2013) with the previously published dataset on 74 trials of 12 older antidepressants (approved December 1987 to August 2002). Using logistic regression, we examined the effects of trial outcome and trial cohort (newer versus older) on transparent reporting (whether published and FDA conclusions agreed). Among newer antidepressants, transparent publication occurred more with positive (15/15 = 100%) than negative (7/15 = 47%) trials (OR 35.1, CI(95%) 1.8 to 693). Controlling for trial outcome, transparent publication occurred more with newer than older trials (OR 6.6, CI(95%) 1.6 to 26.4). Within negative trials, transparent reporting increased from 11% to 47%. We also conducted and contrasted FDA- and journal-based meta-analyses. For newer antidepressants, FDA-based effect size (ES(FDA)) was 0.24 (CI(95%) 0.18 to 0.30), while journal-based effect size (ES(Journals)) was 0.29 (CI(95%) 0.23 to 0.36). Thus, effect size inflation, presumably due to reporting bias, was 0.05, less than for older antidepressants (0.10). Limitations of this study include a small number of trials and drugs—belonging to a single class—and a focus on efficacy (versus safety). CONCLUSIONS: Reporting bias persists but appears to have diminished for newer, compared to older, antidepressants. Continued efforts are needed to further improve transparency in the scientific literature. Public Library of Science 2022-01-19 /pmc/articles/PMC8769343/ /pubmed/35045113 http://dx.doi.org/10.1371/journal.pmed.1003886 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Turner, Erick H. Cipriani, Andrea Furukawa, Toshi A. Salanti, Georgia de Vries, Ymkje Anna Selective publication of antidepressant trials and its influence on apparent efficacy: Updated comparisons and meta-analyses of newer versus older trials |
title | Selective publication of antidepressant trials and its influence on apparent efficacy: Updated comparisons and meta-analyses of newer versus older trials |
title_full | Selective publication of antidepressant trials and its influence on apparent efficacy: Updated comparisons and meta-analyses of newer versus older trials |
title_fullStr | Selective publication of antidepressant trials and its influence on apparent efficacy: Updated comparisons and meta-analyses of newer versus older trials |
title_full_unstemmed | Selective publication of antidepressant trials and its influence on apparent efficacy: Updated comparisons and meta-analyses of newer versus older trials |
title_short | Selective publication of antidepressant trials and its influence on apparent efficacy: Updated comparisons and meta-analyses of newer versus older trials |
title_sort | selective publication of antidepressant trials and its influence on apparent efficacy: updated comparisons and meta-analyses of newer versus older trials |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8769343/ https://www.ncbi.nlm.nih.gov/pubmed/35045113 http://dx.doi.org/10.1371/journal.pmed.1003886 |
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