Appraising prediction research: a guide and meta‐review on bias and applicability assessment using the Prediction model Risk Of Bias ASsessment Tool (PROBAST)-Reference-Cited by-同舟云学术

Appraising prediction research: a guide and meta‐review on bias and applicability assessment using the Prediction model Risk Of Bias ASsessment Tool (PROBAST)

Published:2021-07-08 Issue:12 Volume:26 Page:939-947
ISSN:1320-5358
Container-title:Nephrology
language:en
Short-container-title:Nephrology

Author:

Jong Ype¹²^ORCID,Ramspek Chava L.¹,Zoccali Carmine³⁴,Jager Kitty J.⁵,Dekker Friedo W.¹,Diepen Merel¹

Affiliation:

1. Department of Clinical Epidemiology Leiden University Medical Center Leiden The Netherlands

2. Department of Internal Medicine Leiden University Medical Center Leiden The Netherlands

3. Renal Research Institute New York USA

4. Associazione Ipertensione Nefrologia Trapianto Renale (IPNET) Reggio Cal Italy

5. Department of Medical Informatics ERA‐EDTA Registry, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Institute Amsterdam The Netherlands

Funder

Nierstichting

Publisher

Wiley

Subject

Nephrology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/nep.13913

Reference12 articles.

1. A systematic review and external validation of stroke prediction models demonstrates poor performance in dialysis patients

2. Towards the best kidney failure prediction tool: a systematic review and selection aid

3. Clinical Prediction Models for Cardiovascular Disease

4. Prognostic models for outcome prediction in patients with chronic obstructive pulmonary disease: systematic review and critical appraisal;Bellou V;BMJ‐Br Med J,2019

5. External validation of prognostic models: what, why, how, when and where?

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