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Introduction Cholecystectomy is one of the most common operations performed worldwide. Although laparoscopic surgery has been the ‘gold-standard’ approach for this operation, there is a paucity of global evidence around the variations of safe provision of cholecystectomy, including low-income and middle-income countries. This international collaborative study will allow contemporaneous data collection on the quality of cholecystectomies using measures covering infrastructure, care processes and outcomes, with the primary aim define the global variation in compliance with preoperative, intraoperative and postoperative audit standards.Methods and analysis Global Evaluation of Cholecystectomy Knowledge and Outcomes is a prospective, international, multicentre, observational cohort study delivered by the GlobalSurg Collaborative. Consecutive patients undergoing cholecystectomy between 31 July 2023 and 19 November 2023 will be recruited, with follow-up at 30 days and 1-year postoperatively. The study will be undertaken at any hospital providing emergency or elective surgical services for biliary disease. The primary endpoint of this study is compliance with preoperative, intraoperative and postoperative audit standards. Secondary outcomes include rates of 30-day complications, achievement of critical view of safety and rates of gallbladder cancer.Ethics and dissemination This project will not affect clinical practice and has been classified as clinical audit following research ethics review at University Hospital Birmingham NHS Trust. The protocol will be disseminated through the international GlobalSurg and CovidSurg network.Trial registration number NCT06223061.

Objective To systematically review preoperative and intraoperative Anastomotic Leak Prediction Scores (ALPS) and validation studies to evaluate performance and utility in surgical decision-making. Anastomotic leak (AL) is the most feared complication of colorectal surgery. Individualised leak risk could guide anastomosis and/or diverting stoma.Methods Systematic search of Ovid MEDLINE and Embase databases, 30 October 2020, identified existing ALPS and validation studies. All records including >1 risk factor, used to develop new, or to validate existing models for preoperative or intraoperative use to predict colorectal AL, were selected. Data extraction followed CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies guidelines. Models were assessed for applicability for surgical decision-making and risk of bias using Prediction model Risk Of Bias ASsessment Tool.Results 34 studies were identified containing 31 individual ALPS (12 colonic/colorectal, 19 rectal) and 6 papers with validation studies only. Development dataset patient populations were heterogeneous in terms of numbers, indication for surgery, urgency and stoma inclusion. Heterogeneity precluded meta-analysis. Definitions and timeframe for AL were available in only 22 and 11 ALPS, respectively. 26/31 studies used some form of multivariable logistic regression in their modelling. Models included 3–33 individual predictors. 27/31 studies reported model discrimination performance but just 18/31 reported calibration. 15/31 ALPS were reported with external validation, 9/31 with internal validation alone and 4 published without any validation. 27/31 ALPS and every validation study were scored high risk of bias in model analysis.Conclusions Poor reporting practices and methodological shortcomings limit wider adoption of published ALPS. Several models appear to perform well in discriminating patients at highest AL risk but all raise concerns over risk of bias, and nearly all over wider applicability. Large-scale, precisely reported external validation studies are required.PROSPERO registration number CRD42020164804.