Literature DB >> 16363916

Correction/clarification about FDA review documents.

Erick Turner.   

Abstract

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Year:  2005        PMID: 16363916      PMCID: PMC1322306          DOI: 10.1371/journal.pmed.0020422

Source DB:  PubMed          Journal:  PLoS Med        ISSN: 1549-1277            Impact factor:   11.069


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Emma Veitch cites my PLoS Medicine Essay [1] about how the Food and Drug Administration's (FDA's) review of documents can serve as a source of clinical trials data, but she follows it up with the statement, “However, it is difficult to have confidence in data released by sponsors when the data have not been subjected to external, independent peer review. Furthermore, this information is not integrated with other data, or indexed” [2]. While I agree with the second assertion, the first assertion—that the data are not subjected to external, independent peer review—is off the mark. FDA reviews are indeed external and independent to the sponsor. These reviews are conducted not by the sponsors but by physicians and scientists employed by the United States government. True, the data originate with the sponsor. However, once the sponsor submits data to the FDA, a level of rigor and scrutiny is applied to them that is arguably higher than what occurs in the typical journal manuscript review process. First, FDA reviewers typically revisit the original protocol submitted before the study was conducted in order to verify that the sponsor has not engaged in hypothesizing after the results are known (“HARKing”) [3]. By contrast, journal reviewers typically do not have access to the original protocol. As a result, they must trust that HARKing has not occurred, a dubious assumption in view of recent data [4]. Second, FDA statistical reviewers obtain the raw data from the sponsor, and determine whether the sponsor's findings can be replicated. By contrast, journal reviewers typically have access to only the summary statistics reported (perhaps selectively) to them by the authors or the sponsors. Consequently, reviewers can only speculate whether they could replicate the findings. As a result, I believe that the FDA review process warrants a higher level of confidence than the conventional journal manuscript review process.
  4 in total

1.  Empirical evidence for selective reporting of outcomes in randomized trials: comparison of protocols to published articles.

Authors:  An-Wen Chan; Asbjørn Hróbjartsson; Mette T Haahr; Peter C Gøtzsche; Douglas G Altman
Journal:  JAMA       Date:  2004-05-26       Impact factor: 56.272

2.  HARKing: hypothesizing after the results are known.

Authors:  N L Kerr
Journal:  Pers Soc Psychol Rev       Date:  1998

3.  A taxpayer-funded clinical trials registry and results database.

Authors:  Erick H Turner
Journal:  PLoS Med       Date:  2004-12       Impact factor: 11.069

4.  Tackling publication bias in clinical trial reporting. PLoS announces the launch of a new online journal.

Authors:  Emma Veitch
Journal:  PLoS Med       Date:  2005-10       Impact factor: 11.069

  4 in total
  3 in total

Review 1.  Publication bias, with a focus on psychiatry: causes and solutions.

Authors:  Erick H Turner
Journal:  CNS Drugs       Date:  2013-06       Impact factor: 5.749

2.  Impact of reporting bias in network meta-analysis of antidepressant placebo-controlled trials.

Authors:  Ludovic Trinquart; Adeline Abbé; Philippe Ravaud
Journal:  PLoS One       Date:  2012-04-20       Impact factor: 3.240

3.  The Comparative Effectiveness of Innovative Treatments for Cancer (CEIT-Cancer) project: Rationale and design of the database and the collection of evidence available at approval of novel drugs.

Authors:  Aviv Ladanie; Benjamin Speich; Florian Naudet; Arnav Agarwal; Tiago V Pereira; Francesco Sclafani; Juan Martin-Liberal; Thomas Schmid; Hannah Ewald; John P A Ioannidis; Heiner C Bucher; Benjamin Kasenda; Lars G Hemkens
Journal:  Trials       Date:  2018-09-19       Impact factor: 2.279

  3 in total

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