Evidence map›Paper›PMID 40790572›Full record

ArticleBMC surgery2025

Preoperative combined biomarker model of fibrinogen-to-albumin ratio and systemic immune-inflammation index to carbohydrate antigen 19-9 ratio predicts survival in distal cholangiocarcinoma after pancreatoduodenectomy: a retrospective cohort study.

Fangfei Wang, Qiang He, Shaocheng Lyu

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Article in BMC 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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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Fangfei WangDepartment of Hepatobiliary Surgery, Beijing Chao-Yang Hospital, Capital Medical University, No.8, Gongtinan Road, Chaoyang District, Beijing, 100020, China.
Qiang HeDepartment of Hepatobiliary Surgery, Beijing Chao-Yang Hospital, Capital Medical University, No.8, Gongtinan Road, Chaoyang District, Beijing, 100020, China.
Shaocheng LyuDepartment of Hepatobiliary Surgery, Beijing Chao-Yang Hospital, Capital Medical University, No.8, Gongtinan Road, Chaoyang District, Beijing, 100020, China. shaocheng0502@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a preoperative composite biomarker model integrating FAR and SII/CA19-9 for predicting survival in distal cholangiocarcinoma (DCC) after pancreatoduodenectomy.

methodsThis retrospective cohort study analyzed 238 DCC patients (2010-2023). Optimal cut-off were determined by ROC analysis (FAR: 8.85, AUC = 0.602; SII/CA19-9: 8, AUC = 0.668). Intergroup comparisons demonstrated no significant differences between the groups. Survival analysis validated pronounced survival disparities across these groups. Multivariable Cox regression identified independent prognostic factors, and a nomogram was constructed for survival prediction. a nomogram integrated independent risk factors into a predictive model, then calibration curves and decision curve analysis (DCA) collectively validated the model's prognostic capability.

resultsThe independent Prognostic Factors were FAR > 8.85 (HR = 1.919, 95% CI: 1.333-2.762), SII/CA19-9 ≤ 8 (HR = 0.522, 95% CI: 0.356-0.765), and R1 resection (HR = 0.523, 95% CI: 0.328-0.834). Low SII/CA19-9 (≤ 8) patients had median OS of 17 months vs. 44 months in high-ratio group (P < 0.001). High FAR (> 8.85) correlated with reduced median OS (20 months vs. 51months, P < 0.001). The composite model outperformed AJCC staging (C-index: 0.72 vs. 0.62) and CA19-9 alone (AUC: 0.68 vs. 0.61), with 31% net benefit gain in decision curve analysis.

conclusionThe FAR and SII/CA19-9 composite model enhances preoperative prognostication in DCC, stratifying high-risk patients (low SII/CA19-9 and high FAR) for personalized adjuvant strategies.

Indexed as

Bile Duct NeoplasmsCA-19-9 AntigenCholangiocarcinomaFibrinogenPancreaticoduodenectomySerum AlbuminAgedBiomarkersBiomarkers, TumorFemaleHumansMaleMiddle AgedPreoperative PeriodPrognosisRetrospective StudiesBiomarkersBiomarkers, TumorCA-19-9 AntigenFibrinogenSerum AlbuminCA19-9Distal cholangiocarcinomaFARPancreaticoduodenectomyPrognosisSII

Identifiers

PMID40790572
PMCPMC12337511

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LicenceCC BY-NC-ND
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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.