Evidence map›Paper›PMID 40369041›Full record

ArticleScientific reports2025

Establishment of a prognostic nomogram and risk stratification system for patients with combined hepatocellular-cholangiocarcinoma.

Qiuhan Heng, Mingxing Hou, Ying Leng, Hua Yu

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Qiuhan Heng *School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China.
Mingxing Hou *Department of General Surgery, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, China.
Ying LengThe Fifth People's Hospital, Chengdu University of Traditional Chinese Medicine, Chengdu, 611130, China.
Hua YuDepartment of General Surgery, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, 610072, China. yuhua1232021@163.com.

Funding

the Project of Sichuan Provincial Administration of Traditional Chinese Medicine 2023MS637
6 · The paper itself

Abstract

Combined hepatocellular-cholangiocarcinoma (cHCC-CCA) is an exceptionally rare form of primary liver malignancy and currently lacks prognostic prediction models. This study aims to develop a nomogram designed to predict cancer-specific survival (CSS) in patients diagnosed with cHCC-CCA. A total of 420 patients diagnosed with cHCC-CCA between 2004 and 2019 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly assigned to training and validation cohorts in a 7:3 ratio. Cox proportional hazards regression analysis was employed to identify prognostic factors for the construction of the nomogram. The performance and clinical utility of the nomogram were evaluated using the concordance index (C-index), area under the curve (AUC) values, calibration curves, decision curve analysis (DCA), net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Ultimately, Multivariate Cox regression analysis identified 6 variables for the establishment of a nomogram for cHCC-CCA. The C-index, AUC value and calibration curve of the nomogram show that the model has satisfactory accuracy. Additionally, DCA, NRI values (training set: 0.392 for 1-year, 0.425 for 3-year and 0.414 for 5-year CSS prediction), and IDI (training set: 0.165 for 1-year, 0.151 for 3-year and 0.151 for 5-year CSS prediction) indicate that the performance of the established nomogram is significantly better than that based solely on the AJCC standard tumor staging (P < 0.05). Furthermore, a risk classification system with enhanced capability to identify patients at varying risk levels was established. Therefore, we developed a nomogram that can help clinicians assess the prognosis of patients with cHCC-CCA.

Indexed as

Bile Duct NeoplasmsCarcinoma, HepatocellularCholangiocarcinomaLiver NeoplasmsNomogramsAgedFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRisk AssessmentSEER ProgramCancer-specific survivalCombined hepatocellular-cholangiocarcinomaNomogramPrognosis

Identifiers

PMID40369041
PMCPMC12078651

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.