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

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...

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Autores principales: Heus, Pauline, Damen, Johanna A A G, Pajouheshnia, Romin, Scholten, Rob J P M, Reitsma, Johannes B, Collins, Gary S, Altman, Douglas G, Moons, Karel G M, Hooft, Lotty
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501951/
https://www.ncbi.nlm.nih.gov/pubmed/31023756
http://dx.doi.org/10.1136/bmjopen-2018-025611
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author Heus, Pauline
Damen, Johanna A A G
Pajouheshnia, Romin
Scholten, Rob J P M
Reitsma, Johannes B
Collins, Gary S
Altman, Douglas G
Moons, Karel G M
Hooft, Lotty
author_facet Heus, Pauline
Damen, Johanna A A G
Pajouheshnia, Romin
Scholten, Rob J P M
Reitsma, Johannes B
Collins, Gary S
Altman, Douglas G
Moons, Karel G M
Hooft, Lotty
author_sort Heus, Pauline
collection PubMed
description 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.
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spelling pubmed-65019512019-05-21 Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies Heus, Pauline Damen, Johanna A A G Pajouheshnia, Romin Scholten, Rob J P M Reitsma, Johannes B Collins, Gary S Altman, Douglas G Moons, Karel G M Hooft, Lotty BMJ Open Research Methods 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. BMJ Publishing Group 2019-04-24 /pmc/articles/PMC6501951/ /pubmed/31023756 http://dx.doi.org/10.1136/bmjopen-2018-025611 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Research Methods
Heus, Pauline
Damen, Johanna A A G
Pajouheshnia, Romin
Scholten, Rob J P M
Reitsma, Johannes B
Collins, Gary S
Altman, Douglas G
Moons, Karel G M
Hooft, Lotty
Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies
title Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies
title_full Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies
title_fullStr Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies
title_full_unstemmed Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies
title_short Uniformity in measuring adherence to reporting guidelines: the example of TRIPOD for assessing completeness of reporting of prediction model studies
title_sort uniformity in measuring adherence to reporting guidelines: the example of tripod for assessing completeness of reporting of prediction model studies
topic Research Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6501951/
https://www.ncbi.nlm.nih.gov/pubmed/31023756
http://dx.doi.org/10.1136/bmjopen-2018-025611
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