Ensuring transparency and minimization of methodologic bias in preclinical pain research: PPRECISE considerations
View/ Open
Author
Andrews, Nick A.
Basbaum, Allan I.
Mogil, Jeffrey S.
Porreca, Frank
Rice, Andrew S.C.
Currie, Gillian L.
Dworkin, Robert H.
Eisenach, James C.
Gewandter, Jennifer S.
Gover, Tony D.
Handwerker, Hermann
Huang, Wenlong
Iyengar, Smriti
Jensen, Mark P.
Kennedy, Jeffrey D.
Lee, Nancy
Levine, Jon
Lidster, Katie
Machin, Ian
McDermott, Michael P.
McMahon, Stephen B.
Price, Theodore J.
Ross, Sarah E.
Scherrer, Grégory
Seal, Rebecca P.
Sena, Emily S.
Silva, Elizabeth
Stone, Laura
Svensson, Camilla I.
Turk, Dennis C.
Whiteside, Garth
Note: Order does not necessarily reflect citation order of authors.
Published Version
https://doi.org/10.1097/j.pain.0000000000000458Metadata
Show full item recordCitation
Andrews, N. A., A. Latrémolière, A. I. Basbaum, J. S. Mogil, F. Porreca, A. S. Rice, C. J. Woolf, et al. 2016. “Ensuring transparency and minimization of methodologic bias in preclinical pain research: PPRECISE considerations.” Pain 157 (4): 901-909. doi:10.1097/j.pain.0000000000000458. http://dx.doi.org/10.1097/j.pain.0000000000000458.Abstract
Abstract There is growing concern about lack of scientific rigor and transparent reporting across many preclinical fields of biological research. Poor experimental design and lack of transparent reporting can result in conscious or unconscious experimental bias, producing results that are not replicable. The Analgesic, Anesthetic, and Addiction Clinical Trial Translations, Innovations, Opportunities, and Networks (ACTTION) public–private partnership with the U.S. Food and Drug Administration sponsored a consensus meeting of the Preclinical Pain Research Consortium for Investigating Safety and Efficacy (PPRECISE) Working Group. International participants from universities, funding agencies, government agencies, industry, and a patient advocacy organization attended. Reduction of publication bias, increasing the ability of others to faithfully repeat experimental methods, and increased transparency of data reporting were specifically discussed. Parameters deemed essential to increase confidence in the published literature were clear, specific reporting of an a priori hypothesis and definition of primary outcome measure. Power calculations and whether measurement of minimal meaningful effect size to determine these should be a core component of the preclinical research effort provoked considerable discussion, with many but not all agreeing. Greater transparency of reporting should be driven by scientists, journal editors, reviewers, and grant funders. The conduct of high-quality science that is fully reported should not preclude novelty and innovation in preclinical pain research, and indeed, any efforts that curtail such innovation would be misguided. We believe that to achieve the goal of finding effective new treatments for patients with pain, the pain field needs to deal with these challenging issues.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4794131/pdf/Terms of Use
This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAACitable link to this page
http://nrs.harvard.edu/urn-3:HUL.InstRepos:26860157
Collections
- FAS Scholarly Articles [18292]
- HMS Scholarly Articles [17922]
Contact administrator regarding this item (to report mistakes or request changes)