How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

Jan Y. Verbakel; Ann Van den Bruel; Matthew Thompson; Richard Stevens; Bert Aertgeerts; Rianne Oostenbrink; Henriette A. Moll; Marjolein Y. Berger; Monica Lakhanpaul; David Mant; Frank Buntinx

doi:10.1186/1741-7015-11-10

How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?

Jan Y. Verbakel^*, Ann Van den Bruel, Matthew Thompson, Richard Stevens, Bert Aertgeerts, Rianne Oostenbrink, Henriette A. Moll, Marjolein Y. Berger, Monica Lakhanpaul, David Mant, Frank Buntinx

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Article number	10
Journal	BMC Medicine
Volume	11
DOIs	https://doi.org/10.1186/1741-7015-11-10
Publication status	Published - 15 Jan 2013

Keywords

clinical prediction rules
serious infection in children
external validation
NICE guidelines feverish illness
Yale Observation Scale
diagnostic accuracy

Access to Document

10.1186/1741-7015-11-10

Cite this

Verbakel, J. Y., Van den Bruel, A., Thompson, M., Stevens, R., Aertgeerts, B., Oostenbrink, R., Moll, H. A., Berger, M. Y., Lakhanpaul, M., Mant, D., & Buntinx, F. (2013). How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets? BMC Medicine, 11, [10]. https://doi.org/10.1186/1741-7015-11-10

Verbakel, Jan Y. ; Van den Bruel, Ann ; Thompson, Matthew ; Stevens, Richard ; Aertgeerts, Bert ; Oostenbrink, Rianne ; Moll, Henriette A. ; Berger, Marjolein Y. ; Lakhanpaul, Monica ; Mant, David ; Buntinx, Frank. / How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?. In: BMC Medicine. 2013 ; Vol. 11.

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title = "How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?",

keywords = "clinical prediction rules, serious infection in children, external validation, NICE guidelines feverish illness, Yale Observation Scale, diagnostic accuracy",

author = "Verbakel, {Jan Y.} and {Van den Bruel}, Ann and Matthew Thompson and Richard Stevens and Bert Aertgeerts and Rianne Oostenbrink and Moll, {Henriette A.} and Berger, {Marjolein Y.} and Monica Lakhanpaul and David Mant and Frank Buntinx",

year = "2013",

month = jan,

day = "15",

doi = "10.1186/1741-7015-11-10",

language = "English",

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Verbakel, JY, Van den Bruel, A, Thompson, M, Stevens, R, Aertgeerts, B, Oostenbrink, R, Moll, HA, Berger, MY, Lakhanpaul, M, Mant, D & Buntinx, F 2013, 'How well do clinical prediction rules perform in identifying serious infections in acutely ill children across an international network of ambulatory care datasets?', BMC Medicine, vol. 11, 10. https://doi.org/10.1186/1741-7015-11-10