ArticleCost effectiveness and resource allocation : C/E2021
Risk factors associated with postoperative complications after liver cancer resection surgery in western China.
Article in Cost effectiveness and resource allocation : C/E, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 9 citations in OpenAlex.
- Impact of Preoperative Frailty on Postoperative Complications and Cognitive Impairment in Liver Cancer Patients: An Observational Cohort Study.Clinical interventions in aging · 2026Observational
- The impacts of the diagnosis-related group payment reform on hospitalization-related medical expenses: evidence from China.Health economics review · 2025Article
- Effectiveness of enhanced recovery after surgery in elderly hepatolithiasis patients after partial hepatectomy.Pakistan journal of medical sciences · 2025Article
- Influencing factors and predictive model of postoperative infection in patients with primary hepatic carcinoma.BMC gastroenterology · 2023Article
- Big Data-Enabled Analysis of Factors Affecting Medical Expenditure in the Cerebral Infarction of a Developing City in Western China.Risk management and healthcare policy · 2023Article
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5 authors at 2 institutions in 1 country.
Funding
Abstract
objectivesPostoperative complications increase the workload of nursing staff as well as the financial and mental distress suffered by patients. The objective of this study is to identify clinical factors associated with postoperative complications after liver cancer resection surgery.
methodsData from liver cancer resections occurring between January 1st, 2019 to December 31st, 2019 was collected from the Department of Liver Surgery in West China Hospital of Sichuan University. The Kruskal-Wallis test and logistic regression were used to perform single-factor analysis. Stepwise logistic regression was used for multivariate analysis. Models were established using R 4.0.2 software.
resultsBased on data collected from 593 cases, the single-factor analysis determined that there were statistically significant differences in BMI, incision type, incision length, duration, incision range, and bleeding between cases that experienced complications within 30 days after surgery and those did not. Stepwise logistic regression models based on Kruskal-Wallis test and single-factor logistic regression determined that BMI, incision length, and duration were the primary factors causing complications after liver resection. The adjust OR of overweight patients and patients with obesity (stage 1) compared to low weight patients were 0.12 (95% CI:0.02-0.72) with p = 0.043 and 0.18 (95% CI:0.03-1.00) with p = 0.04, respectively. An increase of 1 cm in incision length increased the relative risk by 13%, while an increase of 10 min in surgical duration increased the relative risk by 15%.
conclusionsThe risk of postoperative complications after liver resection can be significantly reduced by controlling factors such as bleeding, incision length, and duration of the surgery.
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