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Journal article

SPIN-PM: a consensus framework to evaluate the presence of spin in studies on prediction models

Abstract:
Objectives
To develop a framework to identify and evaluate spin practices and its facilitators in studies on clinical prediction model regardless of the modeling technique.
Study Design and Setting
We followed a three-phase consensus process: (1) premeeting literature review to generate items to be included; (2) a series of structured meetings to provide comments discussed and exchanged viewpoints on items to be included with a panel of experienced researchers; and (3) postmeeting review on final list of items and examples to be included. Through this iterative consensus process, a framework was derived after all panel's researchers agreed.
Results
This consensus process involved a panel of eight researchers and resulted in SPIN-Prediction Models which consists of two categories of spin (misleading interpretation and misleading transportability), and within these categories, two forms of spin (spin practices and facilitators of spin). We provide criteria and examples.
Conclusion
We proposed this guidance aiming to facilitate not only the accurate reporting but also an accurate interpretation and extrapolation of clinical prediction models which will likely improve the reporting quality of subsequent research, as well as reduce research waste.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.jclinepi.2024.111364

Authors

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Role:
Author
ORCID:
0000-0002-7745-2887
More by this author
Role:
Author
ORCID:
0000-0001-7401-4593
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Institute for Musculoskeletal Sciences
Role:
Author
ORCID:
0000-0002-0989-0623


More from this funder
Funder identifier:
https://ror.org/054225q67
Grant:
27294
C49297/A27294


Publisher:
Elsevier
Journal:
Journal of Clinical Epidemiology More from this journal
Volume:
170
Article number:
111364
Place of publication:
United States
Publication date:
2024-04-15
Acceptance date:
2024-04-08
DOI:
EISSN:
1878-5921
ISSN:
0895-4356
Pmid:
38631529


Language:
English
Keywords:
Pubs id:
1992149
Local pid:
pubs:1992149
Deposit date:
2025-03-17
ARK identifier:

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