A call for transparent reporting to optimize the predictive value of preclinical research

Story C. Landis, Susan G. Amara, Khusru Asadullah, Chris P. Austin, Robi Blumenstein, Eileen W. Bradley, Ronald G. Crystal, Robert B. Darnell, Robert J. Ferrante, Howard Fillit, Robert Finkelstein, Marc Fisher, Howard E. Gendelman, Robert M. Golub, John L. Goudreau, Robert A. Gross, Amelie K. Gubitz, Sharon E. Hesterlee, David W. Howells, John HuguenardKatrina Kelner, Walter Koroshetz, Dimitri Krainc, Stanley E. Lazic, Michael S. Levine, Malcolm R. MacLeod, John M. McCall, Richard T Moxley Iii, Kalyani Narasimhan, Linda J. Noble, Steve Perrin, John D. Porter, Oswald Steward, Ellis Unger, Ursula Utz, Shai D. Silberberg*

*Corresponding author for this work

Research output: Contribution to journalReview article

636 Scopus citations

Abstract

The US National Institute of Neurological Disorders and Stroke convened major stakeholders in June 2012 to discuss how to improve the methodological reporting of animal studies in grant applications and publications. The main workshop recommendation is that at a minimum studies should report on sample-size estimation, whether and how animals were randomized, whether investigators were blind to the treatment, and the handling of data. We recognize that achieving a meaningful improvement in the quality of reporting will require a concerted effort by investigators, reviewers, funding agencies and journal editors. Requiring better reporting of animal studies will raise awareness of the importance of rigorous study design to accelerate scientific progress.

Original languageEnglish (US)
Pages (from-to)187-191
Number of pages5
JournalNature
Volume490
Issue number7419
DOIs
StatePublished - Oct 11 2012

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ASJC Scopus subject areas

  • General

Cite this

Landis, S. C., Amara, S. G., Asadullah, K., Austin, C. P., Blumenstein, R., Bradley, E. W., Crystal, R. G., Darnell, R. B., Ferrante, R. J., Fillit, H., Finkelstein, R., Fisher, M., Gendelman, H. E., Golub, R. M., Goudreau, J. L., Gross, R. A., Gubitz, A. K., Hesterlee, S. E., Howells, D. W., ... Silberberg, S. D. (2012). A call for transparent reporting to optimize the predictive value of preclinical research. Nature, 490(7419), 187-191. https://doi.org/10.1038/nature11556