ArticleFrontiers in medicine2025
Development and validation of a radiologically-based nomogram for preoperative prediction of difficult laparoscopic cholecystectomy.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 2 of them syntheses that pooled it.
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Who cites it
3 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Artificial intelligence for predicting surgical difficulty in laparoscopic cholecystectomy: a systematic review and meta-analysis.Surgical endoscopy · 2026Pooled it
- Back to the battlefield: minimally invasive management of postcholecystectomy remnants: a systematic appraisal of safety and efficacy.Surgery today · 2026Pooled it
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Authors and funding
6 authors.
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Abstract
Background: Preoperative prediction of difficult laparoscopic cholecystectomy (DLC) remains challenging, as intraoperative anatomical complexity significantly increases complication risks. Current studies have not reached consensus on definitive risk factors for DLC. Materials and methods: This retrospective study aimed to identify DLC risk factors and develop a predictive model. We analyzed clinical data from 265 patients undergoing laparoscopic cholecystectomy (LC) at the Department of General Surgery, Shijiazhuang People's Hospital, between September 2022 and June 2024. Risk factors were explored through least absolute shrinkage and selection operator (LASSO) regression, multivariate analysis, and receiver operating characteristic (ROC) curves, with a nomogram constructed for prediction. Results: Among 265 eligible patients, four independent risk factors were identified: thickness of gallbladder wall ( Conclusion and discussion: The proposed predictive model integrating gallbladder neck stones, thickness of gallbladder wall, cystic duct length, and cystic duct diameter may assist surgeons in preoperative DLC risk stratification. Further validation through multicenter prospective studies is warranted.
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