Literature DB >> 24553383

Making prospective registration of observational research a reality.

Rafael Dal-Ré1, John P Ioannidis, Michael B Bracken, Patricia A Buffler, An-Wen Chan, Eduardo L Franco, Carlo La Vecchia, Elisabete Weiderpass.   

Abstract

The vast majority of health-related observational studies are not prospectively registered and the advantages of registration have not been fully appreciated. Nonetheless, international standards require approval of study protocols by an independent ethics committee before the study can begin. We suggest that there is an ethical and scientific imperative to publicly preregister key information from newly approved protocols, which should be required by funders. Ultimately, more complete information may be publicly available by disclosing protocols, analysis plans, data sets, and raw data.

Mesh:

Year:  2014        PMID: 24553383     DOI: 10.1126/scitranslmed.3007513

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN: 1946-6234            Impact factor:   17.956


  33 in total

1.  The Cancer Epidemiology Descriptive Cohort Database: A Tool to Support Population-Based Interdisciplinary Research.

Authors:  Amy E Kennedy; Muin J Khoury; John P A Ioannidis; Michelle Brotzman; Amy Miller; Crystal Lane; Gabriel Y Lai; Scott D Rogers; Chinonye Harvey; Joanne W Elena; Daniela Seminara
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-07-20       Impact factor: 4.254

Review 2.  Syndemics of psychosocial problems and HIV risk: A systematic review of empirical tests of the disease interaction concept.

Authors:  Alexander C Tsai; Bridget F O Burns
Journal:  Soc Sci Med       Date:  2015-06-29       Impact factor: 4.634

Review 3.  Prevention of selective outcome reporting: let us start from the beginning.

Authors:  Rafael Dal-Ré; Ana Marušić
Journal:  Eur J Clin Pharmacol       Date:  2016-08-02       Impact factor: 2.953

4.  Journals' TOP guidelines transparency level should be disclosed.

Authors:  Rafael Dal-Ré
Journal:  Eur J Clin Pharmacol       Date:  2017-11-09       Impact factor: 2.953

5.  Dementia Prevention: optimizing the use of observational data for personal, clinical, and public health decision-making.

Authors:  Penny A Dacks; Sandrine Andrieu; Deborah Blacker; Aaron J Carman; Allan M Green; Francine Grodstein; Victor W Henderson; Bryan D James; Rachel F Lane; Joseph Lau; Pei-Jung Lin; Barnaby C Reeves; Raj C Shah; Bruno Vellas; Kristine Yaffe; Karin Yurko-Mauro; Diana W Shineman; David A Bennett; Howard M Fillit
Journal:  J Prev Alzheimers Dis       Date:  2014-02

6.  Achieving Milestones as a Prerequisite for Proceeding With a Clinical Trial.

Authors:  Angela M Mickle; Hannah R Maybrier; Anke C Winter; Sherry L McKinnon; Brian A Torres; Nan Lin; Eric J Lenze; Susan Stark; Maxwell R Muench; Eric Jacobsohn; Sharon K Inouye; Michael S Avidan; Troy S Wildes
Journal:  Anesth Analg       Date:  2018-06       Impact factor: 5.108

7.  Foundational Principles for Large-Scale Inference: Illustrations Through Correlation Mining.

Authors:  Alfred O Hero; Bala Rajaratnam
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2015-12-21       Impact factor: 10.961

8.  Placing epidemiological results in the context of multiplicity and typical correlations of exposures.

Authors:  Chirag J Patel; John P A Ioannidis
Journal:  J Epidemiol Community Health       Date:  2014-06-12       Impact factor: 3.710

9.  Post-marketing studies of pharmaceutical opioid abuse-deterrent formulations: a framework for research design and reporting.

Authors:  Amy Peacock; Briony Larance; Raimondo Bruno; Sallie-Anne Pearson; Nicholas A Buckley; Michael Farrell; Louisa Degenhardt
Journal:  Addiction       Date:  2018-09-07       Impact factor: 6.526

10.  Perspective: Limiting Dependence on Nonrandomized Studies and Improving Randomized Trials in Human Nutrition Research: Why and How.

Authors:  John F Trepanowski; John P A Ioannidis
Journal:  Adv Nutr       Date:  2018-07-01       Impact factor: 8.701

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