Evidence map›Paper›PMID 25314315›Full record

ArticlePLoS medicine2014

Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.

Karel G M Moons, Joris A H de Groot, Walter Bouwmeester, Yvonne Vergouwe, Susan Mallett, Douglas G Altman, Johannes B Reitsma, Gary S Collins

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PLoS medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,041 papers, 116 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,041citing papers in PubMed, 116 pooled it
–field-weighted citation impact
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

1,041 citing papers in PubMed, 116 syntheses or guidelines pooled it.

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  3. Radiomic and dosiomic machine learning models for predicting radiation-induced oral mucositis in head and neck cancer: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
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  18. Machine Learning Models for Predicting Pain, Fatigue, Depression, Anxiety, and Malnutrition in Cancer Patients: A Systematic Review and Meta-Analysis.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2026
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981 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

8 authors.

Karel G M MoonsJulius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands.
Joris A H de GrootJulius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands.
Walter BouwmeesterJulius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands.
Yvonne VergouweJulius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands.
Susan MallettDepartment of Primary Care Health Sciences, New Radcliffe House, University of Oxford, Oxford, United Kingdom.
Douglas G AltmanCentre for Statistics in Medicine, University of Oxford, Botnar Research Centre, Windmill Road, Oxford, United Kingdom.
Johannes B ReitsmaJulius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands.
Gary S CollinsCentre for Statistics in Medicine, University of Oxford, Botnar Research Centre, Windmill Road, Oxford, United Kingdom.

Funding

Cancer Research UK 16895Medical Research Council G1100513
6 · The paper itself

Abstract

Carl Moons and colleagues provide a checklist and background explanation for critically appraising and extracting data from systematic reviews of prognostic and diagnostic prediction modelling studies. Please see later in the article for the Editors' Summary.

Indexed as

Models, TheoreticalDecision Support TechniquesHumans

Identifiers

PMID25314315
PMCPMC4196729

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.