Selective Cholecystectomy: using an evidence-based prediction model to plan for cholecystectomy

Gunnarsson, Ronny, and de Costa, Alan (2018) Selective Cholecystectomy: using an evidence-based prediction model to plan for cholecystectomy. ANZ Journal of Surgery. (In Press)

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View at Publisher Website: https://doi.org/10.1111/ans.14849
 
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Abstract

Background: Symptomatic gall stones are treated safely and efficiently with laparoscopic cholecystectomy. Conversion to open cholecystectomy may be associated with adverse outcomes. Accurate prediction of conversion should decrease the incidence of conversion and improve patient care.

Methods: The recent literature on conversion at laparoscopic cholecystectomy is reviewed to identify robust prediction models that are both internally and externally validated. Results: Two prediction models are identified which meet these criteria.

Conclusions: The Cairns Prediction Model using nomograms, is an easily applied tool predicting conversion, which is presently in use. Routine use of this tool should decrease conversion, and improve the process of patient consent.

Item ID: 55836
Item Type: Article (Refereed Research - C1)
Keywords: conversion, laparoscopic cholecystectomy, nomogram, prediction, risk factor
Copyright Information: © 2018 Royal Australasian College of Surgeons
ISSN: 1445-2197
Date Deposited: 12 Oct 2018 02:59
FoR Codes: 11 MEDICAL AND HEALTH SCIENCES > 1103 Clinical Sciences > 110323 Surgery @ 100%
SEO Codes: 92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920105 Digestive System Disorders @ 50%
92 HEALTH > 9202 Health and Support Services > 920204 Evaluation of Health Outcomes @ 50%
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