Evidence map›Paper›PMID 42092878›Full record

ArticleBMC surgery2026

Analysis of prognostic factors for R1/R2 resection in patients with hilar cholangiocarcinoma.

Zepu Wang, Chuncheng Wang, Meijian Yang, Dan Lv, Yanhui Peng

Abstract read
In one paragraph

Article in BMC surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zepu WangDepartment of hepatobiliary and pancreatic surgery II, Hebei General Hospital, 348 Heping West Road, Shijiazhuang City, Hebei Province, 050051, China.
Chuncheng WangDepartment of hepatobiliary and pancreatic surgery II, Hebei General Hospital, 348 Heping West Road, Shijiazhuang City, Hebei Province, 050051, China.
Meijian YangDepartment of oncology II, Hebei General Hospital, Shijiazhuang City, Hebei Province, China.
Dan LvUltrasound department, Hebei General Hospital, Shijiazhuang City, Hebei Province, China.
Yanhui PengDepartment of hepatobiliary and pancreatic surgery II, Hebei General Hospital, 348 Heping West Road, Shijiazhuang City, Hebei Province, 050051, China. YHpeng1858@sina.com.

Funding

the Government-funded Clinical Medicine Excellent Talents Training Program of Hebei Province ZF2026032the Medical Science Research Project of Hebei Province 20220810
6 · The paper itself

Abstract

objectiveTo identify prognostic factors and develop a predictive tool for patients with hilar cholangiocarcinoma (HCCA) undergoing R1 or R2 resection, thereby informing patient selection and individualized treatment decisions.

methodsA retrospective analysis was conducted of HCCA patients who underwent R1 or R2 resection at a single center. Independent prognostic factors were identified using Cox regression analysis, and a predictive nomogram was constructed using R software.

resultsMultivariate analysis identified four independent prognostic factors: surgical margin status (P = 0.002), tumor differentiation grade (P = 0.030), vascular invasion (P < 0.001), and adjuvant therapy (P = 0.023). The nomogram based on these factors demonstrated favorable discriminatory ability, with a C-index of 0.780. Time-dependent receiver operating characteristic (ROC) analysis yielded areas under the curve (AUC) of 0.904 (95% confidence interval [CI]: 0.831-0.966) and 0.822 (95% CI: 0.736-0.897) for predicting 1-year and 2-year survival, respectively. Patients stratified into high-risk and low-risk groups by the nomogram showed significantly different survival outcomes (1-year survival: 44% vs. 92.5%; 2-year survival: 20% vs. 52.8%).

conclusionThe developed nomogram effectively predicts prognosis following R1 or R2 resection for HCCA, demonstrating good discrimination and short-term predictive accuracy. It serves as a useful tool for postoperative risk stratification and personalized management planning.

Indexed as

Bile Duct NeoplasmsHepatectomyKlatskin TumorAgedFemaleHumansMaleMargins of ExcisionMiddle AgedNomogramsPrognosisRetrospective StudiesHilar cholangiocarcinomaNomogram modelPrognosticR1/R2 resection

Identifiers

PMID42092878
PMCPMC13321434

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.