ArticleANZ journal of surgery2025
Very Early Recurrence Following Liver Resection for Intrahepatic Cholangiocarcinoma: Is It Predictable by Clinical Preoperative Factors?
Article in ANZ journal of surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Very Early Recurrence Following Liver Resection for Intrahepatic Cholangiocarcinoma: Is It Predictable by Clinical Preoperative Factors?ANZ journal of surgery · 2025Article
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Authors and funding
8 authors.
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Abstract
backgroundApproximately one-quarter of patients undergoing resection for intrahepatic cholangiocarcinoma (ICC) experience very early recurrence (within 6 months after liver resection), which is associated with a poor prognosis. Identifying factors associated with very early recurrence may help optimize patient selection for surgery and avoid futile, high-risk hepatectomies. The aim of this study was to assess whether preoperative clinical factors alone can reliably predict very early recurrence following curative liver resection for ICC.
methodsA retrospective analysis was conducted on 83 patients who underwent liver resection between 2010 and 2020.
resultsThe 5-year overall survival (OS) rate for the entire cohort was 51.4%. Recurrence occurred in 54 patients (65.1%), with 17 (20.5%) experiencing very early recurrence. The 5-year OS for patients with very early recurrence was significantly lower than for those without it (0% vs. 48.7%, respectively; p = 0.013). Preoperative clinical prognostic factors failed to identify patients at high risk of very early recurrence, which occurred in 21% of patients classified as low risk.
conclusionsPreoperative clinical factors alone are insufficient for accurate risk stratification. Integrating clinicopathological data with molecular classifications of ICC is urgently needed to enable a more personalized oncological approach for these patients.
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