ArticleWorld journal of clinical cases2019
Predicting surgical site infections using a novel nomogram in patients with hepatocelluar carcinoma undergoing hepatectomy.
Article in World journal of clinical cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- Systematic review of risk prediction models for surgical site infection after abdominal surgery in adults.Frontiers in public health · 2026Pooled it
- Meta-Analysis and Meta-Regression of Risk Factors for Surgical Site Infections in Hepatic and Pancreatic Resection.World journal of surgery · 2020Pooled it
- Structure, Inhibitors, and Biological Function in Nervous System and Cancer of Ubiquitin-Specific Protease 46.Bioinformatics and biology insights · 2024Review
- Influencing factors and predictive model of postoperative infection in patients with primary hepatic carcinoma.BMC gastroenterology · 2023Article
- Development and internal validation of a nomogram for predicting outcomes in children with traumatic subdural hematoma.Acute and critical care · 2022Article
- Modeling transmission of pathogens in healthcare settings.Current opinion in infectious diseases · 2021Review
- USP14: Structure, Function, and Target Inhibition.Frontiers in pharmacology · 2021Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSurgical site infections (SSI) remain a major cause of morbidity after hepatectomy for hepatocellular carcinoma (HCC).
aimTo identify the risk factors associated with SSI, and develop a nomogram to predict SSI among patients undergoing hepatectomy.
methodsWe retrospectively reviewed the data of patients diagnosed with HCC undergoing hepatectomy at two academic institutions in China, and evaluated the occurrence of SSI. Independent risk factors for SSI were identified using univariate and multivariate analyses. Based on these independent risk factors, a nomogram was established using the data of patients in the first institution, and was validated using data from an external independent cohort from the second institution.
resultsThe nomogram was established using data from 309 patients, whereas the validation cohort used data from 331 patients. The operation duration, serum albumin level, repeat hepatectomy, and ASA score were identified as independent risk factors. The concordance index (C-index) of the nomogram for SSI prediction in the training cohort was 0.86; this nomogram also performed well in the external validation cohort, with a C-index of 0.84. Accordingly, we stratified patients into three groups, with a distinct risk range based on the nomogram prediction, to guide clinical practice.
conclusionOur novel nomogram offers good preoperative prediction for SSIs in patients undergoing hepatectomy.
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