Evidence map›Paper›PMID 41781899›Full record

Observational studyBMC gastroenterology2026

Epidemiologic transition of biliary tract cancers in an endemic region of Korea: insights from a regional cancer center cohort.

Aelee Jang, Jonghyun Lee

Abstract readObservational Study
In one paragraph

Observational study in BMC gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

2 authors.

Aelee JangDepartment of Nursing, University of Ulsan, Ulsan, Republic of Korea.ORCID http://orcid.org/0000-0002-4060-1279
Jonghyun LeeDivision of Gastroenterology, Department of Internal Medicine, Pusan National University Hospital, Busan, Republic of Korea. keiasikr@nate.com.ORCID http://orcid.org/0000-0002-9752-5860

Funding

Biomedical Research Institute Grant Pusan National University Hospital 202200140001
6 · The paper itself

Abstract

backgroundBiliary tract cancers (BTCs) in East Asia have traditionally been linked to inflammation-related etiologies. However, metabolic risk factors are increasingly contributing to BTC development. Temporal trends in BTC epidemiology remain underexplored in the Korean population. This study aimed to review 13-year trends in BTCs, focusing on metabolic and inflammatory comorbidities, in a southeastern Korean cancer center historically characterized by a high incidence of inflammation-related BTCs.

methodsThis retrospective observational study analyzed 2,001 patients diagnosed with BTC at a southeastern Korean cancer center between 2009 and 2021. Data on general demographics (age, sex, smoking, alcohol), metabolic factors (hypertension, body mass index (BMI) ≥ 25 kg/m

resultsThe cohort comprised 680 patients with gallbladder cancers and 586 patients with intrahepatic, 367 patients with perihilar, and 368 patients with distal cholangiocarcinomas. Gallbladder cancer was more common in females, whereas intrahepatic and distal cholangiocarcinomas were more prevalent in males. Over 13 years, the prevalence of hypertension and BMI ≥ 25 kg/m

conclusionsThese findings indicate an ongoing epidemiological transition in BTC risk profiles in Korea, with metabolic factors, such as hypertension and obesity, playing an increasingly prominent role.

Indexed as

Bile Duct NeoplasmsBiliary Tract NeoplasmsCholangiocarcinomaEndemic DiseasesAdultAgedAged, 80 and overBody Mass IndexComorbidityDiabetes MellitusFemaleGallbladder NeoplasmsHumansHypertensionIncidenceMaleBiliary tract cancerChronic inflammationEpidemiologyMetabolic syndrome

Identifiers

PMID41781899
PMCPMC13069799

What OpenQuestion 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 OpenQuestion graph.