Evidence map›Paper›PMID 42434258›Full record

ArticleJournal of gastrointestinal oncology2026

The impact of adjuvant chemotherapy on overall survival and cancer-specific survival in patients with extrahepatic cholangiocarcinoma across different age groups: a population-based study.

Tingyu Liu, Chang Liu, Hefei Ren, Lin Zhou

Abstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 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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0citing papers in PubMed
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1 · What the graph read from it

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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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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Tingyu Liu *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Chang Liu *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Hefei Ren *Department of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.
Lin ZhouDepartment of Laboratory Medicine, Shanghai Changzheng Hospital, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Extrahepatic cholangiocarcinoma (ECC) has a high postoperative recurrence rate, and the value of adjuvant chemotherapy (AC) by age remains unclear. This study investigated the influence of AC on long-term survival in patients with ECC, with analysis stratified by age. Methods: Patient data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database for individuals diagnosed with ECC from 2010 to 2020. Kaplan-Meier (KM) analysis evaluated the association between AC and long-term survival across age strata. Subsequently, univariate and multivariate Cox regression analyses were performed to analyze the overall survival (OS) and cancer-specific survival (CSS) of ECC patients across different age groups. Furthermore, propensity score matching (PSM) was used to reduce the potential selection bias. Lastly, sensitivity analysis was conducted to assess the robustness of the results. Results: This study included 2,189 patients with ECC, who were divided into four groups according to age: 18-55, 56-65, 66-75 and 76-85 years old. Before PSM adjustment, no statistically significant association was observed between AC and long-term survival in the 18-55 and 56-65 years age groups. In contrast, significant differences in long-term survival were observed in patients aged 66-75 years. For those aged 76-85 years, only OS showed a significant difference. Following adjustment, the absence of significant differences persisted in the two younger age groups. Statistically significant differences in long-term survival, however, were maintained in both the 66-75 and 76-85 years age groups. Multivariate Cox regression analysis demonstrated that patients in the 18-55 and 56-65 years age groups did not benefit from AC. In the 66-75 years age group, AC acted as an independent protective factor. In the 76-85 years age group, AC was an independent protective factor for OS but provided no benefit for CSS. Conclusions: AC conferred age-heterogeneous survival benefits in patients with ECC, wherein the population aged 66-75 years derived the maximum benefit. In contrast, patients aged 18-65 years failed to obtain a statistically significant benefit from AC, while those aged over 75 years exhibited outcome-specific clinical benefits.

Indexed as

cancer-specific survival (CSS)chemotherapyExtrahepatic cholangiocarcinoma (ECC)overall survival (OS)

Identifiers

PMID42434258
PMCPMC13349943

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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.