Evidence map›Paper›PMID 33514558›Full record

ArticleBritish journal of sports medicine2021

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

Mohammad Ali Mansournia, Gary S Collins, Rasmus Oestergaard Nielsen, Maryam Nazemipour, Nicholas P Jewell, Douglas G Altman, Michael J Campbell

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in British journal of sports medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 170 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
170citing papers in PubMed, 1 pooled it
15.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

170 citing papers in PubMed, 1 synthesis or guideline pooled it, 256 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Running is associated with intervertebral disc adaptations: a pre-planned secondary analysis of the ASTEROID randomised controlled trial.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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110 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 5 countries.

Mohammad Ali MansourniaDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran mansournia_ma@yahoo.com nazemipour.m@iums.ac.ir.ORCID http://orcid.org/0000-0003-3343-2718
Gary S CollinsCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Rasmus Oestergaard NielsenDepartment of Public Health, Section for Sports Science, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0001-5757-1806
Maryam NazemipourPsychosocial Health Research Institute, Iran University of Medical Sciences, Tehran, Iran mansournia_ma@yahoo.com nazemipour.m@iums.ac.ir.
Nicholas P JewellDepartment of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK.
Douglas G AltmanCentre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford, UK.
Michael J CampbellScHARR, University of Sheffield, Sheffield, UK.
Nuffield Orthopaedic Centre · GBAarhus University · DKIran University of Medical Sciences · IRNeuroscience Institute · ITUniversity of California System · USUniversity of Sheffield · GB

Funding

Emerging methods and applications for test-negative studies of of infectious disease interventionsR01AI148127 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI JEWELL, NICHOLAS P · 2020 to 2023
$1.8M
Cancer Research UK 16895Cancer Research UK 27294NIAID NIH HHS R01 AI148127
6 · The paper itself

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.

Indexed as

Biomedical ResearchChecklistResearch DesignStatistics as TopicDelivery of Health CareHumansPeer Review, ResearchSports Medicinemethodologystatistics

Identifiers

PMID33514558
PMCPMC9110112
OpenAlexW3123235910

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.