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Risk of Bias in Reports of In Vivo Research: A Focus for Improvement
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The reliability of experimental findings depends on the rigour of experimental design. Here we show limited reporting of measures to reduce the risk of bias in a random sample of life sciences publications, significantly lower reporting of randomisation in work published in journals of high impact, and very limited reporting of measures to reduce the risk of bias in publications from leading United Kingdom institutions. Ascertainment of differences between institutions might serve both as a measure of research quality and as a tool for institutional efforts to improve research quality.

Subject:
Biology
Life Science
Material Type:
Reading
Provider:
PLOS Biology
Author:
Aaron Lawson McLean
Aikaterini Kyriakopoulou
Andrew Thomson
Aparna Potluru
Arno de Wilde
Cristina Nunes-Fonseca
David W. Howells
Emily S. Sena
Gillian L. Currie
Hanna Vesterinen
Julija Baginskitae
Kieren Egan
Leonid Churilov
Malcolm R. Macleod
Nicki Sherratt
Rachel Hemblade
Stylianos Serghiou
Theo Hirst
Zsanett Bahor
Date Added:
08/07/2020
A call for transparent reporting to optimize the predictive value of preclinical research
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Deficiencies in methods reporting in animal experimentation lead to difficulties in reproducing experiments; the authors propose a set of reporting standards to improve scientific communication and study design. 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.

Author:
Amelie K. Gubitz
Chris P. Austin
David W. Howells
Dimitri Krainc
Eileen W. Bradley
Ellis Unger
Howard E. Gendelman
Howard Fillit
John D. Porter
John Huguenard
John L. Goudreau
John M. McCall
Kalyani Narasimhan
Katrina Kelner
Khusru Asadullah
Linda J. Noble
Malcolm R. Macleod
Marc Fisher
Michael S. Levine
Oswald Steward
Richard T. Moxley III
Robert A. Gross
Robert B. Darnell
Robert Finkelstein
Robert J. Ferrante
Robert M. Golub
Robi Blumenstein
Ronald G. Crystal
Shai D. Silberberg
Sharon E. Hesterlee
Stanley E. Lazic
Steve Perrin
Story C. Landis
Susan G. Amara
Ursula Utz
Walter Koroshetz
Date Added:
08/08/2020