Evidence map›Paper›PMID 40859233›Full record

ArticleBMC gastroenterology2025

Cholecystitis and cholangiocarcinoma: a two-sample Mendelian randomization study.

Xing Gao, Hao Gao, Song Wang, Futian Tang, Yang Zhao, Yumin Li

Abstract read
In one paragraph

Article in BMC gastroenterology, 2025. 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

6 authors.

Xing GaoGansu Province Key Laboratory of Environmental Oncology, The Second Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, China.
Hao GaoCollege of Life Science and Engineering, Northwest Minzu University, Lanzhou, 730030, China.
Song WangNational-Local Joint Engineering Research Center of Biodiagnosis & Biotherapy, The Second Affiliated Hospital, Xi'an Jiaotong University, Xi'an, 710000, Shanxi, China.
Futian TangGansu Province Key Laboratory of Environmental Oncology, The Second Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, China.
Yang ZhaoGansu Province Key Laboratory of Environmental Oncology, The Second Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, China. 65759235@qq.com.
Yumin LiGansu Province Key Laboratory of Environmental Oncology, The Second Clinical Medical College of Lanzhou University, Lanzhou, 730000, Gansu, China. liym@lzu.edu.cn.

Funding

Cuiying Scientific and Technological Innovation Program of Lanzhou University Second Hospital CY2022-MS-A18Major Science and Technology Project of Gansu Province 22ZD6FA050Natural Science Foundation of Gansu Province 21JR1RA135
6 · The paper itself

Abstract

backgroundOver the past few decades, the global incidence of cholangiocarcinoma has risen overall. In particular, the incidence of intrahepatic cholangiocarcinoma increased by 109% over a ten-year period, rising from 0.67 per 100,000 in 2007 to 1.40 per 100,000 in 2016

methodsInstrumental variables were identified as independent single nucleotide polymorphisms highly associated with cholecystitis (n = 25). The entire dataset from the Integrative Epidemiology Unit (IEU) publicly available genome-wide association studies (GWAS) was utilized to obtain cholangiocarcinoma outcome data (n = 25). In this study, five MR statistical techniques (Inverse Variance Weighted, MR Egger, Weighted Median, Simple Mode, and Weighted mode) were used. The MR Egger intercept test, leave-one-out analysis, and the funnel plot were all utilized in sensitivity analyses.

resultsResults of the Inverse Variance Weighted (IVW) method genetically predicted cholecystitis was associated with higher risk of cholangiocarcinoma, with an odds ratio of 2.915 (95% CI = 1.122-7.575, P = 0.038). Weighted Median Method also demonstrated consistent direction of effect (P = 0.016). However, MR-Egger, Simple Mode, and Weighted Mode all showed no statistical significance (P > 0.05). Both funnel plots and MR Egger intercepts indicated the absence of any directional pleiotropic effects between cholecystitis and cholangiocarcinoma.

conclusionWe found evidence supporting a causal effect between cholecystitis and cholangiocarcinoma, indicating an increased likelihood of cholangiocarcinoma in patients with cholecystitis through MR analysis.These findings may help inform clinical strategies for the management of cholecystitis, with the aim of potentially reducing the risk of cholangiocarcinoma.

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaCholecystitisMendelian Randomization AnalysisGenome-Wide Association StudyHumansPolymorphism, Single NucleotideRisk FactorsCholangiocarcinomaCholecystitisMendelian randomization analysis

Identifiers

PMID40859233
PMCPMC12382277

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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.