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Journal article

Prediction model protocols indicate better adherence to recommended guidelines for study conduct and reporting

Abstract:

Background and Objective: Protocols are invaluable documents for any research study, especially for prediction model studies. However, the mere existence of a protocol is insufficient if key details are omitted. We reviewed the reporting content and details of the proposed design and methods reported in published protocols for prediction model research.

Methods: We searched MEDLINE, Embase, and the Web of Science Core Collection for protocols for studies developing or validating a diagnostic or prognostic model using any modeling approach in any clinical area. We screened protocols published between Jan 1, 2022 and June 30, 2022. We used the abstract, introduction, methods, and discussion sections of The Transparent Reporting of a multivariable prediction model of Individual Prognosis Or Diagnosis (TRIPOD) statement to inform data extraction.

Results: We identified 30 protocols, of which 28 were describing plans for model development and six for model validation. All protocols were open access, including a preprint. 15 protocols reported prospectively collecting data. 21 protocols planned to use clustered data, of which one-third planned methods to account for it. A planned sample size was reported for 93% development and 67% validation analyses. 16 protocols reported details of study registration, but all protocols reported a statement on ethics approval. Plans for data sharing were reported in 13 protocols.

Conclusion: Protocols for prediction model studies are uncommon, and few are made publicly available. Those that are available were reasonably well-reported and often described their methods following current prediction model research recommendations, likely leading to better reporting and methods in the actual study.

Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1016/j.jclinepi.2024.111287

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
ORCID:
0000-0002-0989-0623
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
ORCID:
0000-0002-7801-5777
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
ORCID:
0009-0008-7946-3935
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Role:
Author
ORCID:
0009-0002-3421-0535


More from this funder
Funder identifier:
https://ror.org/054225q67
Grant:
PRCPJT-Nov21\100021
27294


Publisher:
Elsevier
Journal:
Journal of Clinical Epidemiology More from this journal
Volume:
169
Article number:
111287
Publication date:
2024-02-20
Acceptance date:
2024-02-15
DOI:
EISSN:
1878-5921
ISSN:
0895-4356
Pmid:
38387617


Language:
English
Keywords:
Pubs id:
1638633
Local pid:
pubs:1638633
Deposit date:
2025-03-17
ARK identifier:

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