ArticleHepatobiliary surgery and nutrition2018
A novel scoring system for conversion and complication in laparoscopic liver resection.
Article in Hepatobiliary surgery and nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 13 citations in OpenAlex.
- Short- and medium-term impacts of unplanned intraoperative conversion during laparoscopic liver resection for hepatocellular carcinoma patients: a propensity score-matched study.World journal of surgical oncology · 2025Article
- Preoperative predictors of unplanned conversion in laparoscopic liver resection: a multicenter cohort analysis.Frontiers in oncology · 2025Article
- Sub-classification of laparoscopic left hepatectomy based on hierarchic interaction of tumor location and size with perioperative outcomes.Journal of hepato-biliary-pancreatic sciences · 2023Article
- Article
- Fast-track protocols in laparoscopic liver surgery: Applicability and correlation with difficulty scoring systems.World journal of gastrointestinal surgery · 2022Article
- A novel difficulty scoring system of laparoscopic liver resection for liver tumor.Frontiers in oncology · 2022Article
- Laparoscopic Liver Resection Should Be a Standard Procedure for Hepatocellular Carcinoma with Low or Intermediate Difficulty.Journal of personalized medicine · 2021Article
- Comparison and validation of three difficulty scoring systems in laparoscopic liver surgery: a retrospective analysis on 300 cases.Surgical endoscopy · 2020Article
- Minimal access liver surgery: from the escalation, to the boundaries, searching for the rules.Hepatobiliary surgery and nutrition · 2019Article
- Reply to: The letter to the editor "Laparoscopic liver resection for malignancies confined to Couinaud's segment VII in the robotic surgery era" by ZizzoHepatobiliary surgery and nutrition · 2019Article
- Difficulty scores in laparoscopic liver surgery-getting closer to a powerful and necessary tool.Hepatobiliary surgery and nutrition · 2019Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough laparoscopic liver resection (LLR) has been increasingly popular worldwide, there is lack of predictive model to evaluate the feasibility and safety of LLR. The aim of this study was to establish a scoring system for predicting the possibility of conversion and complication, which could facilitate the patient selection for clinicians and communication with patients and their relatives during the informed consent process.
methodsConsecutively 696 patients between August 1998 and December 2016 underwent LLR were recruited. The entire cohort was divided randomly into development and validation cohorts. The scoring system for conversion and complication were established according to risk factors identified from multiple logistic analysis. Subgroup analysis was performed to assess the clinical application. And the C-index and decision curve analysis (DCA) were conducted to evaluate the discrimination in comparison with other predictive models.
resultsSix hundred and ninety-six patients were enrolled eventually. The rate of conversion in the development and validation cohorts was 8.3% and 10.3%, respectively. Compared with 12.6% complication rate in the development cohort, 12.9% was concluded in the validation cohort. Upon on the identified risk factors, the risk stratification model was established and validated. Subsequent subgroup analysis indicated low risk patients presented superior surgical outcomes compared with high risk patients. Besides, the C-index and DCA implied our models had better capacities of predicting conversion and complication in comparison with previous scoring systems.
conclusionsThis novel scoring system presents the remarkable capacities of predicting conversion, complication in LLR. And thereby, it could be a useful instrument to facilitate the patient selection for clinicians and communication with patients and their relatives during the informed consent process.
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