ArticleWideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques2022
Risk prediction models for difficult cholecystectomy.
Article in Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 10 citations in OpenAlex.
- Bile Duct Injury and Litigation in Laparoscopic Cholecystectomy: A Global Review of Current and Future Preventative Initiatives.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2025Review
- The influence of obesity on the safety of laparoscopic cholecystectomy: a retrospective analysis.Wideochirurgia i inne techniki maloinwazyjne = Videosurgery and other miniinvasive techniques · 2024Article
- The Modification of a Preoperative Scoring System to Predict Difficult Elective Laparoscopic Cholecystectomy.Journal of laparoendoscopic & advanced surgical techniques. Part A · 2023Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: In some cases, laparoscopic cholecystectomy (LC) may be very difficult and easily converted to laparotomy, causing many complications to patients and prolonging the prognosis time. Thus, to evaluate the difficulty of LC before operation is extremely important. Aim: To explore the risk factors of difficult cholecystectomy (DC) and to establish a risk prediction model of DC. Material and methods: The data of 201patients who underwent cholecystectomy from 1 January 2018 to 10 November 2019 were analysed retrospectively. The highest quartile (P75) of cholecystectomy operation time was used as a cutting point of DC (≥ P75) and NLC (< P75). Logistic regression was used to analyse the influencing factors of DC, and its risk model was constructed for prediction. Results: Multivariate logistic regression analysis showed that body mass index (BMI) > 25 kg/m Conclusions: Based on analysis of risk factors, a logistic risk prediction model for difficult cholecystectomy was established. This model can be used to predict the difficulty of cholecystectomy.
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Registered trials
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