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Reporting Quality of Studies Developing and Validating Melanoma Prediction Models: An Assessment Based on the TRIPOD Statement

Transparent and accurate reporting is essential to evaluate the validity and applicability of risk prediction models. Our aim was to evaluate the reporting quality of studies developing and validating risk prediction models for melanoma according to the TRIPOD (Transparent Reporting of a multivariat...

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Autores principales: Kaiser, Isabelle, Diehl, Katharina, Heppt, Markus V., Mathes, Sonja, Pfahlberg, Annette B., Steeb, Theresa, Uter, Wolfgang, Gefeller, Olaf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871554/
https://www.ncbi.nlm.nih.gov/pubmed/35206853
http://dx.doi.org/10.3390/healthcare10020238
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author Kaiser, Isabelle
Diehl, Katharina
Heppt, Markus V.
Mathes, Sonja
Pfahlberg, Annette B.
Steeb, Theresa
Uter, Wolfgang
Gefeller, Olaf
author_facet Kaiser, Isabelle
Diehl, Katharina
Heppt, Markus V.
Mathes, Sonja
Pfahlberg, Annette B.
Steeb, Theresa
Uter, Wolfgang
Gefeller, Olaf
author_sort Kaiser, Isabelle
collection PubMed
description Transparent and accurate reporting is essential to evaluate the validity and applicability of risk prediction models. Our aim was to evaluate the reporting quality of studies developing and validating risk prediction models for melanoma according to the TRIPOD (Transparent Reporting of a multivariate prediction model for Individual Prognosis Or Diagnosis) checklist. We included studies that were identified by a recent systematic review and updated the literature search to ensure that our TRIPOD rating included all relevant studies. Six reviewers assessed compliance with all 37 TRIPOD components for each study using the published “TRIPOD Adherence Assessment Form”. We further examined a potential temporal effect of the reporting quality. Altogether 42 studies were assessed including 35 studies reporting the development of a prediction model and seven studies reporting both development and validation. The median adherence to TRIPOD was 57% (range 29% to 78%). Study components that were least likely to be fully reported were related to model specification, title and abstract. Although the reporting quality has slightly increased over the past 35 years, there is still much room for improvement. Adherence to reporting guidelines such as TRIPOD in the publication of study results must be adopted as a matter of course to achieve a sufficient level of reporting quality necessary to foster the use of the prediction models in applications.
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spelling pubmed-88715542022-02-25 Reporting Quality of Studies Developing and Validating Melanoma Prediction Models: An Assessment Based on the TRIPOD Statement Kaiser, Isabelle Diehl, Katharina Heppt, Markus V. Mathes, Sonja Pfahlberg, Annette B. Steeb, Theresa Uter, Wolfgang Gefeller, Olaf Healthcare (Basel) Article Transparent and accurate reporting is essential to evaluate the validity and applicability of risk prediction models. Our aim was to evaluate the reporting quality of studies developing and validating risk prediction models for melanoma according to the TRIPOD (Transparent Reporting of a multivariate prediction model for Individual Prognosis Or Diagnosis) checklist. We included studies that were identified by a recent systematic review and updated the literature search to ensure that our TRIPOD rating included all relevant studies. Six reviewers assessed compliance with all 37 TRIPOD components for each study using the published “TRIPOD Adherence Assessment Form”. We further examined a potential temporal effect of the reporting quality. Altogether 42 studies were assessed including 35 studies reporting the development of a prediction model and seven studies reporting both development and validation. The median adherence to TRIPOD was 57% (range 29% to 78%). Study components that were least likely to be fully reported were related to model specification, title and abstract. Although the reporting quality has slightly increased over the past 35 years, there is still much room for improvement. Adherence to reporting guidelines such as TRIPOD in the publication of study results must be adopted as a matter of course to achieve a sufficient level of reporting quality necessary to foster the use of the prediction models in applications. MDPI 2022-01-26 /pmc/articles/PMC8871554/ /pubmed/35206853 http://dx.doi.org/10.3390/healthcare10020238 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kaiser, Isabelle
Diehl, Katharina
Heppt, Markus V.
Mathes, Sonja
Pfahlberg, Annette B.
Steeb, Theresa
Uter, Wolfgang
Gefeller, Olaf
Reporting Quality of Studies Developing and Validating Melanoma Prediction Models: An Assessment Based on the TRIPOD Statement
title Reporting Quality of Studies Developing and Validating Melanoma Prediction Models: An Assessment Based on the TRIPOD Statement
title_full Reporting Quality of Studies Developing and Validating Melanoma Prediction Models: An Assessment Based on the TRIPOD Statement
title_fullStr Reporting Quality of Studies Developing and Validating Melanoma Prediction Models: An Assessment Based on the TRIPOD Statement
title_full_unstemmed Reporting Quality of Studies Developing and Validating Melanoma Prediction Models: An Assessment Based on the TRIPOD Statement
title_short Reporting Quality of Studies Developing and Validating Melanoma Prediction Models: An Assessment Based on the TRIPOD Statement
title_sort reporting quality of studies developing and validating melanoma prediction models: an assessment based on the tripod statement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871554/
https://www.ncbi.nlm.nih.gov/pubmed/35206853
http://dx.doi.org/10.3390/healthcare10020238
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