External validation of prediction models for pneumonia in primary care patients with lower respiratory tract infection: an individual patient data meta-analysis

Schierenberg, Alwin, Minnaard, Margaretha C., Hopstaken, Rogier M., van de Pol, Alma C., Broekhuizen, Berna D. L., de Wit, Niek J., Reitsma, Johannes B., van Vugt, Saskia F., Graffelman, Aleida W., Melbye, Hasse, Rainer, Timothy ORCID: https://orcid.org/0000-0003-3355-3237, Steurer, Johann, Holm, Anette, Gonzales, Ralph, Dinant, Geert-Jan, de Groot, Joris A. H. and Verheij, Theo J. M. 2016. External validation of prediction models for pneumonia in primary care patients with lower respiratory tract infection: an individual patient data meta-analysis. PLoS ONE 11 (2) , -. 10.1371/journal.pone.0149895

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Abstract

Pneumonia remains difficult to diagnose in primary care. Prediction models based on signs and symptoms (S&S) serve to minimize the diagnostic uncertainty. External validation of these models is essential before implementation into routine practice. In this study all published S&S models for prediction of pneumonia in primary care were externally validated in the individual patient data (IPD) of previously performed diagnostic studies.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Medicine
Subjects:	R Medicine > R Medicine (General)
Publisher:	Public Library of Science
ISSN:	1932-6203
Date of First Compliant Deposit:	18 July 2016
Date of Acceptance:	5 February 2016
Last Modified:	10 May 2023 07:21
URI:	https://orca.cardiff.ac.uk/id/eprint/92615

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