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Clinical usefulness of scoring systems to predict severe acute pancreatitis: A systematic review and meta‐analysis with pre and post‐test probability assessment by Gabriele Capurso; Ruggero Ponz de Leon Pisani; Gaetano Lauri; Livia Archibugi; Peter Hegyi; Georgios I. Papachristou; Sanjay Pandanaboyana; Patrick Maisonneuve; Paolo Giorgio Arcidiacono; Enrique de‐Madaria is a Medicine article available to read on EtoBox.
What is Clinical usefulness of scoring systems to predict severe acute pancreatitis: A systematic review and meta‐analysis with pre and post‐test probability assessment about?
## Abstract ## Background Scoring systems for severe acute pancreatitis (SAP) prediction should be used in conjunction with pre‐test probability to establish post‐test probability of SAP, but data of this kind are lacking. ## Objective To investigate the predictive value of commonly employed scoring systems and their usefulness in modifying the pre‐test probability of SAP. ## Methods Following PRISMA statement and MOOSE checklists after PROSPERO registration, PubMed was searched from inception until September 2022. Retrospective, prospective, cross‐sectional studies or clinical trials on patients with acute pancreatitis defined as Revised Atlanta Criteria, reporting rate of SAP and using at least one score among Bedside Index for Severity in Acute Pancreatitis (BISAP), __Acute Physiology and Chronic Health Examination__ (APACHE)‐II, RANSON, and __Systemic Inflammatory Response Syndrome__ (SIRS) with their sensitivity and specificity were included. Random effects model meta‐analyses were performed. Pre‐test probability and likelihood ratio (LR) were combined to estimate post‐test probability on Fagan nomograms. Pooled severity rate was used as pre‐test probability of SAP and pooled
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- Author
- Gabriele Capurso; Ruggero Ponz de Leon Pisani; Gaetano Lauri; Livia Archibugi; Peter Hegyi; Georgios I. Papachristou; Sanjay Pandanaboyana; Patrick Maisonneuve; Paolo Giorgio Arcidiacono; Enrique de‐Madaria
- Publisher
- Wiley
- Published
- 2023
- Field
- Medicine (Health Sciences)