Evidence map›Paper›PMID 40180706›Full record

ArticleHepatology international2025

Model of baseline clinicopathological features predicts non-resolution of drug-induced liver injury at 6 months.

Chhagan Bihari, Shvetank Sharma, Apoorva Giri, Raj Pal Yadav, Sukriti Baweja, Archana Rastogi, Shiv Kumar Sarin

Abstract read
PubMed Publisher
In one paragraph

Article in Hepatology international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. [Research progress in the field of drug-induced liver injury in 2025].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
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

7 authors.

Chhagan BihariDepartment of Pathology, Institute of Liver and Biliary Sciences, D1, Vasant Kunj, New Delhi, India. drcbsharma@gmail.com.ORCID http://orcid.org/0000-0001-5801-9458
Shvetank SharmaDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, D1, Vasant Kunj, New Delhi, India.
Apoorva GiriDepartment of Pathology, Institute of Liver and Biliary Sciences, D1, Vasant Kunj, New Delhi, India.
Raj Pal YadavKrishna Mohan Medical College and Research Centre, Mathura, India.
Sukriti BawejaDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, D1, Vasant Kunj, New Delhi, India.
Archana RastogiDepartment of Pathology, Institute of Liver and Biliary Sciences, D1, Vasant Kunj, New Delhi, India.
Shiv Kumar SarinDepartment of Hepatology, Institute of Liver and Biliary Sciences, D1, Vasant Kunj, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronicity in drug-induced liver injury (DILI) is assessed at 12 months, leading to a large time gap from its initial presentation. In this study, we developed a model that could predict biochemical non-resolution in DILI (DILI-NR) patients at 6 months using baseline clinicopathological data. PATIENTS AND

methodsCases of DILI with liver biopsies were enrolled between January 2016 and December 2021. BSEP, MDR3, and MRP2 were assessed immunohistochemically. DILI-NR was considered a biochemical non-resolution 6 months after the onset of DILI. A separate cohort of 126 patients was taken as a validation cohort.

resultsDILI-NR was noted in 59/407 patients (14.5%). DILI-NR patients had significantly higher body mass index, lower hemoglobin, more severe disease at the presentation, autoantibody positivity, higher IgG, association with co-morbidities, and were more aged. Pathologically, DILI-NR had increased ductular reaction, duct damage, duct loss, ductular bile plugs, and autoimmune hepatitis-like morphology along with lesser expression of canalicular transporters. On multivariate logistic regression (LR) analysis and XGBoost analysis, BMI, hemoglobin, presence of autoantibodies, disease severity at baseline, and lower expression of any one transporter were associated with DILI-NR (AUROC = 0.92). After calibrating the model on the test cohort, the LR model showed AUROC of 0.89 with an accuracy of 87.3% and precision of 91.5%, confirming the effectiveness of the model.

conclusionThe model encompassing hemoglobin, BMI, presence of autoantibodies, disease severity, and reduced expression of canalicular proteins at baseline predicts the biochemical non-resolution of DILI at six months.

Indexed as

Chemical and Drug Induced Liver InjuryAdultAgedATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 11BiopsyFemaleHumansLiverMaleMiddle AgedMultidrug Resistance-Associated Protein 2ABCB11 protein, humanABCC2 protein, humanATP Binding Cassette Transporter, Subfamily BATP Binding Cassette Transporter, Subfamily B, Member 11Multidrug Resistance-Associated Protein 2multidrug resistance protein 3AutoantibodyBiochemical non-resolution DILIBMICanalicular transportersChronic DILIDILIDuct damageDuctular bile plugsLiver pathologyMultivariate linear regression model

Identifiers

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.