SynthesisPLoS medicine2022
Selective publication of antidepressant trials and its influence on apparent efficacy: Updated comparisons and meta-analyses of newer versus older trials.
Synthesis in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.
- Levels of evidence supporting American, European and international guidelines in psychiatry, 2014-2024: a systematic review with quantitative synthesis.BMJ mental health · 2026Pooled it
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- Use and Perceived Helpfulness of Different Intervention Strategies in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Depression.Journal of clinical medicine · 2026Article
- Review
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- Assessment of inverse publication bias in safety outcomes: an empirical analysis.BMC medicine · 2024Article
- Does the Ischemic Core Really Matter? An Updated Systematic Review and Meta-Analysis of Large Core Trials After TESLA, TENSION, and LASTE.Stroke (Hoboken, N.J.) · 2024Article
- REPRESENTATION AND EXTRAPOLATION: EVIDENCE FROM CLINICAL TRIALSThe quarterly journal of economics · 2024Article
- The involvement of serotonin in major depression: nescience in disguise?Molecular psychiatry · 2024Article
- No benefit of antidepressants in inpatient treatment of depression. A longitudinal, quasi-experimental field study.Psychopharmacology · 2023Article
- Evaluation of randomized controlled trials: a primer and tutorial for mental health researchers.Trials · 2023Article
- Are European clinical trial funders policies on clinical trial registration and reporting improving? A cross-sectional study.Journal of clinical and translational science · 2023Article
- Machine learning approaches and non-linear processing of extracted components in frontal region to predict rTMS treatment response in major depressive disorder.Frontiers in systems neuroscience · 2023Article
- The role of results in deciding to publish: A direct comparison across authors, reviewers, and editors based on an online survey.PloS one · 2023Article
- Adoption of World Health Organization Best Practices in Clinical Trial Transparency Among European Medical Research Funder Policies.JAMA network open · 2022Article
- Reporting bias in clinical trials: Progress toward transparency and next steps.PLoS medicine · 2022Article
- Measurement challenges and causes of incomplete results reporting of biomedical animal studies: Results from an interview study.PloS one · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundValid 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
findingsUsing 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, CI95% 1.8 to 693). Controlling for trial outcome, transparent publication occurred more with newer than older trials (OR 6.6, CI95% 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 (ESFDA) was 0.24 (CI95% 0.18 to 0.30), while journal-based effect size (ESJournals) was 0.29 (CI95% 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).
conclusionsReporting 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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.