Evidence map›Paper›PMID 41102539›Full record

ArticleLangenbeck's archives of surgery2025

Construction and validation of a novel prognostic model for postoperative patients with stage I intrahepatic cholangiocarcinoma: a population-based study.

Xiaomeng Yao, Xinru Fan, Qing Wang, Huabang Zhou, Hui Wang, Heping Hu

Abstract readValidation Study
In one paragraph

Article in Langenbeck's archives 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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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Xiaomeng YaoDepartment of Hepatobiliary Medicine, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 201805, China.
Xinru FanDepartment of Hepatobiliary Medicine, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 201805, China.
Qing WangDepartment of Hepatobiliary Medicine, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 201805, China.
Huabang ZhouDepartment of Hepatobiliary Medicine, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 201805, China.
Hui WangDepartment of Hepatobiliary Medicine, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 201805, China.
Heping HuDepartment of Hepatobiliary Medicine, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai, 201805, China. huehbh@126.com.

Funding

National Major Scientific Instrument and Equipment Development Project 2012YQ220113
6 · The paper itself

Abstract

purposeIntrahepatic cholangiocarcinoma (ICC) is the second most common primary malignant tumor of the liver. Surgery is routinely recommended for stage I ICC patients. The independent prognostic factors affecting stage I ICC patients after surgery remain unclear.

methodsAltogether, 349 ICC stage I patients undergoing curative operation from the Surveillance, Epidemiology, and End Results (SEER) database were registered from 2010 to 2021 in this research. Random assignment of these patients was carried out in a 7:3 proportion, forming a training cohort consisting of 245 and an internal validation cohort consisting of 104. Independent prognostic factors were recognized by univariate and multivariate analysis in the training cohort. Subsequently, the prognostic nomogram was constructed using independent prognostic factors in the training cohort, and the nomogram was validated internally and externally using data from the internal validation cohort and a cohort from Eastern Hepatobiliary Surgery Hospital, respectively.

resultsMultivariate analysis demonstrated that race, grade, tumor size, and lymph node removal had associations with overall survival (OS) in postoperative patients with stage I ICC in the training cohort (P < 0.05). Then the prognostic nomogram for these patients was constructed on the basis of the above variables. The C-indexes for internal and external validation of the nomogram were 0.65 and 0.63, respectively. In addition, the internally validated and externally validated 1-year, 3-year, and 5-year OS calibration curves exhibited a good fit, suggesting that the nomogram had good predictive power.

conclusionThe prognostic nomogram of postoperative patients diagnosed with stage I ICC performs well. This novel nomogram may help clinicians make individualized predictions of postsurgical outcomes for patients with stage I ICC and provide new perspectives for effectively assessing the value of surgery to the patient.

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaNomogramsAgedFemaleHepatectomyHumansMaleMiddle AgedNeoplasm StagingPrognosisSEER ProgramIntrahepatic cholangiocarcinomaNomogramPrognosisRadical resection

Identifiers

PMID41102539
PMCPMC12532675

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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.