Uniformity in measuring adherence to reporting guidelines: The example of TRIPOD for assessing completeness of reporting of prediction model studies

Publication date

2019-04-24

Authors

Heus, PaulineORCID 0000-0002-6886-4652
Damen, Johanna AagORCID 0000-0001-7401-4593
Pajouheshnia, Romin
Scholten, Rob Jpm
Reitsma, Johannes B.ISNI 0000000389855461
Collins, Gary S.
Altman, Douglas G.
Moons, CarlISNI 0000000390720943
Hooft, LottyISNI 0000000393460235

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Document Type

Article

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Abstract

To promote uniformity in measuring adherence to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement, a reporting guideline for diagnostic and prognostic prediction model studies, and thereby facilitate comparability of future studies assessing its impact, we transformed the original 22 TRIPOD items into an adherence assessment form and defined adherence scoring rules. TRIPOD specific challenges encountered were the existence of different types of prediction model studies and possible combinations of these within publications. More general issues included dealing with multiple reporting elements, reference to information in another publication, and non-applicability of items. We recommend our adherence assessment form to be used by anyone (eg, researchers, reviewers, editors) evaluating adherence to TRIPOD, to make these assessments comparable. In general, when developing a form to assess adherence to a reporting guideline, we recommend formulating specific adherence elements (if needed multiple per reporting guideline item) using unambiguous wording and the consideration of issues of applicability in advance.

Keywords

adherence, prediction model, reporting guideline, risk score, tripod, General Medicine, Journal Article

Citation

Heus, P, Damen, J A A G, Pajouheshnia, R, Scholten, R J P M, Reitsma, J B, Collins, G S, Altman, D G, Moons, K G M & Hooft, L 2019, 'Uniformity in measuring adherence to reporting guidelines : The example of TRIPOD for assessing completeness of reporting of prediction model studies', BMJ Open, vol. 9, no. 4, e025611. https://doi.org/10.1136/bmjopen-2018-025611