Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2008 Nov 25;5(11):e217; discussion e217.
doi: 10.1371/journal.pmed.0050217.

Reporting bias in drug trials submitted to the Food and Drug Administration: review of publication and presentation

Affiliations

Reporting bias in drug trials submitted to the Food and Drug Administration: review of publication and presentation

Kristin Rising et al. PLoS Med. .

Erratum in

Abstract

Background: Previous studies of drug trials submitted to regulatory authorities have documented selective reporting of both entire trials and favorable results. The objective of this study is to determine the publication rate of efficacy trials submitted to the Food and Drug Administration (FDA) in approved New Drug Applications (NDAs) and to compare the trial characteristics as reported by the FDA with those reported in publications.

Methods and findings: This is an observational study of all efficacy trials found in approved NDAs for New Molecular Entities (NMEs) from 2001 to 2002 inclusive and all published clinical trials corresponding to the trials within the NDAs. For each trial included in the NDA, we assessed its publication status, primary outcome(s) reported and their statistical significance, and conclusions. Seventy-eight percent (128/164) of efficacy trials contained in FDA reviews of NDAs were published. In a multivariate model, trials with favorable primary outcomes (OR = 4.7, 95% confidence interval [CI] 1.33-17.1, p = 0.018) and active controls (OR = 3.4, 95% CI 1.02-11.2, p = 0.047) were more likely to be published. Forty-one primary outcomes from the NDAs were omitted from the papers. Papers included 155 outcomes that were in the NDAs, 15 additional outcomes that favored the test drug, and two other neutral or unknown additional outcomes. Excluding outcomes with unknown significance, there were 43 outcomes in the NDAs that did not favor the NDA drug. Of these, 20 (47%) were not included in the papers. The statistical significance of five of the remaining 23 outcomes (22%) changed between the NDA and the paper, with four changing to favor the test drug in the paper (p = 0.38). Excluding unknowns, 99 conclusions were provided in both NDAs and papers, nine conclusions (9%) changed from the FDA review of the NDA to the paper, and all nine did so to favor the test drug (100%, 95% CI 72%-100%, p = 0.0039).

Conclusions: Many trials were still not published 5 y after FDA approval. Discrepancies between the trial information reviewed by the FDA and information found in published trials tended to lead to more favorable presentations of the NDA drugs in the publications. Thus, the information that is readily available in the scientific literature to health care professionals is incomplete and potentially biased.

PubMed Disclaimer

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. Flow Chart for Selection of New Drug Applications and Included Trials

References

    1. Simes RJ. Publication bias: the case for an international registry of clinical trials. J Clin Oncol. 1986;4:1529–1541. - PubMed
    1. Dickersin K. The existence of publication bias and risk factors for its occurrence. JAMA. 1990;263:1385–1389. - PubMed
    1. Misakian AL, Bero LA. Publication bias and research on passive smoking: comparison of published and unpublished studies. JAMA. 1998;280:250–253. - PubMed
    1. Ioannidis JP. Effect of the statistical significance of results on the time to completion and publication of randomized efficacy trials. JAMA. 1998;279:281–286. - PubMed
    1. Ioannidis JP. Why most published research findings are false. PLoS Med. 2005;2:0101–0106. doi: 10.1371/journal.pmed.0020124. - DOI - PMC - PubMed

Publication types

MeSH terms