Evidence mapPaperPMID 42597371Full record

ArticleFrontiers in pharmacology2026

Integrated pharmacovigilance assessment of drug-associated cholangitis: signal detection, clinical characterization, and mechanistic insights.

Maohe Yu, Hao Wang, Lve Cheng, Xinlang Wu, Qujin Li, Junwei Niu, Haowen Li, Shengwei Li

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Maohe YuDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hao WangDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lve ChengDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xinlang WuDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Qujin LiDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Junwei NiuDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Haowen LiDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Shengwei LiDepartment of Hepatobiliary Surgery, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Drug-related cholangitis has been increasingly recognized in clinical practice; however, the spectrum of implicated agents and their relative contributions remain incompletely characterized. Objective: To systematically identify drugs associated with cholangitis reporting and to characterize disproportionality signals and time-to-onset patterns using a large pharmacovigilance database. Methods: Data were extracted from the FDA Adverse Event Reporting System (FAERS) from the first quarter of 2004 to the second quarter of 2025. Disproportionality analysis was performed using reporting odds ratios (RORs) with 95% confidence intervals (CIs). Significant signals were defined as ROR >1, with the lower bound of the 95% CI > 1, and a Bonferroni correction was applied for multiple comparisons. A case/non-case design was used for regression analyses. Candidate drugs were selected using the least absolute shrinkage and selection operator (LASSO) regression and further evaluated in a multivariable logistic regression model. Time-to-onset was assessed using descriptive statistics and visualized using distribution plots. Results: A total of 17,083 reports of drug-related cholangitis were identified. Eighty-four drugs showed significant disproportionality signals, predominantly involving antineoplastic agents, immunomodulators, and antidiabetic drugs. Multivariable analysis identified older age, female sex, and 21 drugs as factors associated with increased reporting odds of cholangitis reporting within the FAERS database. These findings should be interpreted as pharmacovigilance signals intended for hypothesis generation rather than confirmation of causal relationships. The median time to onset was 97 days (interquartile range [IQR], 7-102 days), with most cases occurring within the first 3 months after treatment initiation. Conclusion: This large-scale pharmacovigilance study identified multiple drug classes associated with increased reporting odds of cholangitis and demonstrated an early-onset pattern. These findings highlight the importance of clinical vigilance during the initial treatment period and provide a basis for future mechanistic and epidemiological studies.

Indexed as

adverse drug reactionsbiliary diseasecholangitisdisproportionality analysisdrug safetyFAERSpharmacovigilance

Identifiers

PMID42597371
PMCPMC13467760

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.