A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): Explanation and elaboration

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

  • Mohammad Ali Mansournia, Tehran University of Medical Sciences
  • ,
  • Gary S. Collins, University of Oxford
  • ,
  • Rasmus Oestergaard Nielsen
  • Maryam Nazemipour, Iran University of Medical Sciences
  • ,
  • Nicholas P. Jewell, London School of Hygiene and Tropical Medicine, University of California at Berkeley
  • ,
  • Douglas G. Altman, University of Oxford
  • ,
  • Michael J. Campbell, University of Sheffield

Misuse of statistics in medical and sports science research is common and may lead to detrimental consequences to healthcare. Many authors, editors and peer reviewers of medical papers will not have expert knowledge of statistics or may be unconvinced about the importance of applying correct statistics in medical research. Although there are guidelines on reporting statistics in medical papers, a checklist on the more general and commonly seen aspects of statistics to assess when peer-reviewing an article is needed. In this article, we propose a CHecklist for statistical Assessment of Medical Papers (CHAMP) comprising 30 items related to the design and conduct, data analysis, reporting and presentation, and interpretation of a research paper. While CHAMP is primarily aimed at editors and peer reviewers during the statistical assessment of a medical paper, we believe it will serve as a useful reference to improve authors' and readers' practice in their use of statistics in medical research. We strongly encourage editors and peer reviewers to consult CHAMP when assessing manuscripts for potential publication. Authors also may apply CHAMP to ensure the validity of their statistical approach and reporting of medical research, and readers may consider using CHAMP to enhance their statistical assessment of a paper.

Original languageEnglish
JournalBritish Journal of Sports Medicine
Pages (from-to)1009-1017
Number of pages9
Publication statusPublished - Sept 2021

    Research areas

  • methodology, statistics, DESIGN, CONFIDENCE-INTERVALS, CAUSAL INFERENCE, RISK RATIO, GUIDELINES, COPENHAGEN, POWER, METHODS MATTER, SPORT INJURY RESEARCH, TOO SOON THEORY, Sports Medicine/statistics & numerical data, Humans, Statistics as Topic/standards, Peer Review, Research, Delivery of Health Care, Checklist, Biomedical Research, Research Design

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