Article Text

Download PDFPDF
A CHecklist for statistical Assessment of Medical Papers (the CHAMP statement): explanation and elaboration
  1. Mohammad Ali Mansournia1,2,
  2. Gary S Collins3,4,
  3. Rasmus Oestergaard Nielsen5,6,
  4. Maryam Nazemipour7,
  5. Nicholas P Jewell8,9,
  6. Douglas G Altman3,
  7. Michael J Campbell10
  1. 1Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
  2. 2Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
  3. 3Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK
  4. 4National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK
  5. 5Department of Public Health, Section for Sports Science, Aarhus University, Aarhus, Denmark
  6. 6Research Unit for General Practice, Aarhus, Denmark
  7. 7Psychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran
  8. 8Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
  9. 9Division of Epidemiology & Biostatistics, School of Public Health, University of California, Berkeley, California, USA
  10. 10ScHARR, University of Sheffield, Sheffield, UK
  1. Correspondence to Professor Mohammad Ali Mansournia, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, 14155-6446 Tehran, Iran; mansournia_ma{at}yahoo.com; Dr Maryam Nazemipour, Psychosocial Health Research Institute, Iran University of Medical Sciences, 14665-354 Tehran, Iran; nazemipour.m{at}iums.ac.ir

Abstract

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.

  • statistics
  • methodology

Statistics from Altmetric.com

Footnotes

  • Twitter @RUNSAFE_Rasmus

  • Deceased Douglas G Altman's deceased date: June 3, 2018

  • Contributors MAM, MN and DGA produced the first draft. GSC, RON, NPJ and MJC suggested revisions. All authors approved the final version.

  • Funding GSC was supported by the NIHR Biomedical Research Centre, Oxford, and Cancer Research UK (programme grant: C49297/A27294).

  • Competing interests None declared.

  • Patient and public involvement Patients and/or the public were not involved in the design, or conduct, or reporting, or dissemination plans of this research.

  • Patient consent for publication Not required.

  • Provenance and peer review Not commissioned; externally peer reviewed.

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Linked Articles