ArticleTranslational cancer research2022
Nomogram based on intramuscular adipose tissue content for predicting the prognosis of patients with gallbladder cancer after radical resection.
Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- High intramuscular adipose tissue content associated with prognosis and postoperative complications of cancers.Journal of cachexia, sarcopenia and muscle · 2023Pooled it
- Genetic characteristics and clinical-specific survival prediction in elderly patients with gallbladder cancer: a genetic and population-based study.Frontiers in endocrinology · 2023Trial
- UsingEuropean journal of nuclear medicine and molecular imaging · 2026Article
- Association Between Changes in Skeletal Muscle Quality and Prognosis in Postoperative Patients with Early Gastric Cancer.Annals of surgical oncology · 2024Article
- Research progress on prognostic factors of gallbladder carcinoma.Journal of cancer research and clinical oncology · 2024Review
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Authors and funding
11 authors.
Funding
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Abstract
Background: To investigate the predictive value of intramuscular adipose tissue content (IMAC) on the outcome of gallbladder cancer (GBC) patients after resection, by then develop and evaluate a nomogram to predict the prognosis of GBC patients. Methods: This research incorporated 123 patients with a pathological diagnosis of GBC. Evaluating the prognosis by the Kaplan-Meier method. Independent predictors of overall survival (OS) were screened using multifactorial Cox regression analysis, and a nomogram was constructed from these. Consistency index and calibration curve were used to identify and calibrate the nomogram. The accuracy of the nomogram was assessed by receiver operating characteristic (ROC) curve and decision curve analysis (DCA) was used to assess the net benefit. Results: Patients with high IMAC showed a worse prognosis. A nomogram was constructed to predict OS based on IMAC. The C-index for the nomogram was 0.804. The calibration curve showed well performance of the nomogram. The area under the ROC curve (AUC) for the nomogram at three and five years was 0.839 and 0.785, respectively. A high net benefit was demonstrated by DCA. Conclusions: IMAC was a valid predictor for GBC patients. A nomogram with good performance is constructed to predict the prognosis of GBC patients.
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