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Prognostic models for predicting the severity and mortality in people with acute pancreatitis

Gurusamy, KS; Debray, TPA; Rompianesi, G; (2018) Prognostic models for predicting the severity and mortality in people with acute pancreatitis. Cochrane Database of Systematic Reviews , 2018 (5) , Article CD013026. 10.1002/14651858.CD013026. Green open access

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Abstract

This is a protocol for a Cochrane Review (Prognosis). The objectives are as follows: The primary objective is to synthesise available evidence from external validation studies evaluating the predictive accuracy of clinical scoring systems (measured on admission and up to 48 hours following admission) for severity and mortality within six months in people with acute pancreatitis. The secondary objective is to compare different risk thresholds of available scoring systems (i.e. the level at which the risk of severe acute pancreatitis or mortality is considered to be high) to predict severity and mortality within six months in people with acute pancreatitis. For both objectives, we will explore differences in patient populations, length of follow-up, and study design as potential sources of between-study heterogeneity.

Type: Article
Title: Prognostic models for predicting the severity and mortality in people with acute pancreatitis
Open access status: An open access version is available from UCL Discovery
DOI: 10.1002/14651858.CD013026
Publisher version: http://doi.org/10.1002/14651858.CD013026
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci > Department of Surgical Biotechnology
URI: https://discovery.ucl.ac.uk/id/eprint/10049742
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