Literature DB >> 25670378

The impact of preclinical irreproducibility on drug development.

L P Freedman1, M C Gibson.   

Abstract

The development of novel therapeutics depends and builds upon the validity and reproducibility of previously published data and findings. Yet irreproducibility is pervasive in preclinical life science research and can be traced to cumulative errors or flaws in several areas, including reference materials, study design, laboratory protocols, and data collection and analysis. The expanded development and use of consensus-based standards and well-documented best practices is needed to both enhance reproducibility and drive therapeutic innovations.
© 2014 ASCPT.

Mesh:

Year:  2014        PMID: 25670378     DOI: 10.1002/cpt.9

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  10 in total

Review 1.  Critical evaluation of challenges and future use of animals in experimentation for biomedical research.

Authors:  Vijay Pal Singh; Kunal Pratap; Juhi Sinha; Koundinya Desiraju; Devika Bahal; Ritushree Kukreti
Journal:  Int J Immunopathol Pharmacol       Date:  2016-09-30       Impact factor: 3.219

2.  The Impact of Housing Temperature-Induced Chronic Stress on Preclinical Mouse Tumor Models and Therapeutic Responses: An Important Role for the Nervous System.

Authors:  Bonnie L Hylander; Jason W-L Eng; Elizabeth A Repasky
Journal:  Adv Exp Med Biol       Date:  2017       Impact factor: 3.650

3.  The Economics of Reproducibility in Preclinical Research.

Authors:  Leonard P Freedman; Iain M Cockburn; Timothy S Simcoe
Journal:  PLoS Biol       Date:  2015-06-09       Impact factor: 8.029

4.  Authentication: A Standard Problem or a Problem of Standards?

Authors:  Amanda Capes-Davis; Richard M Neve
Journal:  PLoS Biol       Date:  2016-06-14       Impact factor: 8.029

5.  The Researchers' View of Scientific Rigor-Survey on the Conduct and Reporting of In Vivo Research.

Authors:  Thomas S Reichlin; Lucile Vogt; Hanno Würbel
Journal:  PLoS One       Date:  2016-12-02       Impact factor: 3.240

Review 6.  The Walker 256 Breast Cancer Cell- Induced Bone Pain Model in Rats.

Authors:  Priyank A Shenoy; Andy Kuo; Irina Vetter; Maree T Smith
Journal:  Front Pharmacol       Date:  2016-08-31       Impact factor: 5.810

Review 7.  Clinical Trials for Disease-Modifying Therapies in Alzheimer's Disease: A Primer, Lessons Learned, and a Blueprint for the Future.

Authors:  Jeffrey Cummings; Aaron Ritter; Kate Zhong
Journal:  J Alzheimers Dis       Date:  2018       Impact factor: 4.472

8.  Production of Recombinant Gelonin Using an Automated Liquid Chromatography System.

Authors:  Maria E B Berstad; Lawrence H Cheung; Anette Weyergang
Journal:  Toxins (Basel)       Date:  2020-08-13       Impact factor: 4.546

Review 9.  Using Mice to Model Human Disease: Understanding the Roles of Baseline Housing-Induced and Experimentally Imposed Stresses in Animal Welfare and Experimental Reproducibility.

Authors:  Bonnie L Hylander; Elizabeth A Repasky; Sandra Sexton
Journal:  Animals (Basel)       Date:  2022-02-03       Impact factor: 2.752

10.  Strong Inference in Mathematical Modeling: A Method for Robust Science in the Twenty-First Century.

Authors:  Vitaly V Ganusov
Journal:  Front Microbiol       Date:  2016-07-22       Impact factor: 5.640

  10 in total

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