Literature DB >> 20517323

Methodological quality of preclinical stroke studies is not required for publication in high-impact journals.

Jens Minnerup1, Heike Wersching, Kai Diederich, Matthias Schilling, Erich Bernd Ringelstein, Jürgen Wellmann, Wolf-Rüdiger Schäbitz.   

Abstract

Omitting quality characteristics in animal stroke studies leads to an overestimation of the efficacy of candidate stroke drugs. Nevertheless, the methodological quality of preclinical stroke studies is often limited. As publishing of research results in high-impact journals is an important motivation for scientists, we analyzed whether study quality predicts high-impact publishing. Animal stroke studies of neuroprotective drugs that were recently investigated in clinical phase II/III trials were included in the analysis. Data on the study quality and other important study characteristics were extracted. Regression analyses were performed to estimate the effect of the study characteristics on the journal's impact factor. We identified 117 studies that investigated 12 different drugs. Study quality was not associated with the impact factor before (beta=-0.2, P=0.50) and after adjustment for other study characteristics (beta=-0.3, P=0.19). There was a significant association of the number of investigated mechanisms and applied techniques with the impact factor (beta=1.4, P<0.0001). Our findings show that the quality of animal experimental stroke studies is not relevant for publishing in high-impact journals. The major predictor for accepting preclinical stroke studies in high-impact journals is the complexity of the investigation into a stroke drug's mode of action.

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Year:  2010        PMID: 20517323      PMCID: PMC2949256          DOI: 10.1038/jcbfm.2010.74

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.200


  27 in total

Review 1.  Recommendations for standards regarding preclinical neuroprotective and restorative drug development.

Authors: 
Journal:  Stroke       Date:  1999-12       Impact factor: 7.914

2.  Association of journal quality indicators with methodological quality of clinical research articles.

Authors:  Kirby P Lee; Marieka Schotland; Peter Bacchetti; Lisa A Bero
Journal:  JAMA       Date:  2002-06-05       Impact factor: 56.272

3.  Correlation of quality measures with estimates of treatment effect in meta-analyses of randomized controlled trials.

Authors:  Ethan M Balk; Peter A L Bonis; Harry Moskowitz; Christopher H Schmid; John P A Ioannidis; Chenchen Wang; Joseph Lau
Journal:  JAMA       Date:  2002-06-12       Impact factor: 56.272

4.  Evaluating clinical trials in anesthesia.

Authors:  Michael J Avram
Journal:  Anesthesiology       Date:  2002-10       Impact factor: 7.892

5.  Impact factors and their significance; overrated or misused?

Authors:  C Scully; H Lodge
Journal:  Br Dent J       Date:  2005-04-09       Impact factor: 1.626

Review 6.  Methodological quality of animal studies on neuroprotection in focal cerebral ischaemia.

Authors:  H Bart van der Worp; Peter de Haan; Erik Morrema; Cor J Kalkman
Journal:  J Neurol       Date:  2005-09       Impact factor: 4.849

7.  Statistical methods in anesthesia articles: an evaluation of two American journals during two six-month periods.

Authors:  M J Avram; C A Shanks; M H Dykes; A K Ronai; W M Stiers
Journal:  Anesth Analg       Date:  1985-06       Impact factor: 5.108

Review 8.  Systematic review and metaanalysis of the efficacy of FK506 in experimental stroke.

Authors:  Malcolm R Macleod; Tori O'Collins; Laura L Horky; David W Howells; Geoffrey A Donnan
Journal:  J Cereb Blood Flow Metab       Date:  2005-06       Impact factor: 6.200

9.  Publication bias in reports of animal stroke studies leads to major overstatement of efficacy.

Authors:  Emily S Sena; H Bart van der Worp; Philip M W Bath; David W Howells; Malcolm R Macleod
Journal:  PLoS Biol       Date:  2010-03-30       Impact factor: 8.029

10.  Bias in treatment assignment in controlled clinical trials.

Authors:  T C Chalmers; P Celano; H S Sacks; H Smith
Journal:  N Engl J Med       Date:  1983-12-01       Impact factor: 91.245

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  11 in total

1.  Improving the quality of biomedical research: guidelines for reporting experiments involving animals.

Authors:  Ulrich Dirnagl; Martin Lauritzen
Journal:  J Cereb Blood Flow Metab       Date:  2011-01-05       Impact factor: 6.200

2.  Quality and validity of large animal experiments in stroke: A systematic review.

Authors:  Leona Kringe; Emily S Sena; Edith Motschall; Zsanett Bahor; Qianying Wang; Andrea M Herrmann; Christoph Mülling; Stephan Meckel; Johannes Boltze
Journal:  J Cereb Blood Flow Metab       Date:  2020-06-23       Impact factor: 6.200

3.  Systematic survey of the design, statistical analysis, and reporting of studies published in the 2008 volume of the Journal of Cerebral Blood Flow and Metabolism.

Authors:  Hanna M Vesterinen; Hanna V Vesterinen; Kieren Egan; Amelie Deister; Peter Schlattmann; Malcolm R Macleod; Ulrich Dirnagl
Journal:  J Cereb Blood Flow Metab       Date:  2010-12-15       Impact factor: 6.200

4.  The Relationship between Risk of Bias Criteria, Research Outcomes, and Study Sponsorship in a Cohort of Preclinical Thiazolidinedione Animal Studies: A Meta-Analysis.

Authors:  Maher Abdel-Sattar; David Krauth; Andrew Anglemyer; Lisa Bero
Journal:  Evid Based Preclin Med       Date:  2014-04

5.  The Devil Is in the Details: Incomplete Reporting in Preclinical Animal Research.

Authors:  Marc T Avey; David Moher; Katrina J Sullivan; Dean Fergusson; Gilly Griffin; Jeremy M Grimshaw; Brian Hutton; Manoj M Lalu; Malcolm Macleod; John Marshall; Shirley H J Mei; Michael Rudnicki; Duncan J Stewart; Alexis F Turgeon; Lauralyn McIntyre
Journal:  PLoS One       Date:  2016-11-17       Impact factor: 3.240

6.  Impact of Stroke Therapy Academic Industry Roundtable (STAIR) Guidelines on Peri-Anesthesia Care for Rat Models of Stroke: A Meta-Analysis Comparing the Years 2005 and 2015.

Authors:  Aurelie Thomas; Johann Detilleux; Paul Flecknell; Charlotte Sandersen
Journal:  PLoS One       Date:  2017-01-25       Impact factor: 3.240

Review 7.  Reporting preclinical anesthesia study (REPEAT): Evaluating the quality of reporting in the preclinical anesthesiology literature.

Authors:  Dean A Fergusson; Marc T Avey; Carly C Barron; Mathew Bocock; Kristen E Biefer; Sylvain Boet; Stephane L Bourque; Isidora Conic; Kai Chen; Yuan Yi Dong; Grace M Fox; Ronald B George; Neil M Goldenberg; Ferrante S Gragasin; Prathiba Harsha; Patrick J Hong; Tyler E James; Sarah M Larrigan; Jenna L MacNeil; Courtney A Manuel; Sarah Maximos; David Mazer; Rohan Mittal; Ryan McGinn; Long H Nguyen; Abhilasha Patel; Philippe Richebé; Tarit K Saha; Benjamin E Steinberg; Sonja D Sampson; Duncan J Stewart; Summer Syed; Kimberly Vella; Neil L Wesch; Manoj M Lalu
Journal:  PLoS One       Date:  2019-05-23       Impact factor: 3.240

Review 8.  Instruments for assessing risk of bias and other methodological criteria of published animal studies: a systematic review.

Authors:  David Krauth; Tracey J Woodruff; Lisa Bero
Journal:  Environ Health Perspect       Date:  2013-06-14       Impact factor: 9.031

9.  Nonindustry-sponsored preclinical studies on statins yield greater efficacy estimates than industry-sponsored studies: a meta-analysis.

Authors:  David Krauth; Andrew Anglemyer; Rose Philipps; Lisa Bero
Journal:  PLoS Biol       Date:  2014-01-21       Impact factor: 8.029

10.  Some salt with your statin, professor?

Authors:  Malcolm Macleod
Journal:  PLoS Biol       Date:  2014-01-21       Impact factor: 8.029

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