Evidence map›Paper›PMID 42273386›Full record

ArticleJournal of clinical and translational hepatology2026

Consensus versus Outcome-based Definitions of Acute-on-chronic Liver Failure: Implications for Risk Stratification and Case Identification.

Nipun Verma, Tingting Qi, Pratibha Garg, Arun Valsan, Gowripriya Nair, Julian Pohl, Arathi Venu, Xianbo Wang, Xin Zheng, Guohong Deng and 21 more

Abstract read
In one paragraph

Article in Journal of clinical and translational hepatology, 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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1 · What the graph read from it

What it found

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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

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.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

31 authors.

Nipun VermaDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Tingting QiHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Pratibha GargDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Arun ValsanDepartment of Hepatology and Transplantation, Amrita Institute of Medical Sciences, Amrita Viswavidyapeetham, Kochi, India.
Gowripriya NairDepartment of Hepatology and Transplantation, Amrita Institute of Medical Sciences, Amrita Viswavidyapeetham, Kochi, India.
Julian PohlDepartment of Hepatology and Gastroenterology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum and Campus Charité Mitte, Berlin, Germany.
Arathi VenuDepartment of Hepatology and Transplantation, Amrita Institute of Medical Sciences, Amrita Viswavidyapeetham, Kochi, India.
Xianbo WangCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Xin ZhengDepartment of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Guohong DengDepartment of Infectious Diseases, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China.
Yan HuangDepartment of Infectious Diseases, Hunan Key Laboratory of Viral Hepatitis, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Zhongji MengDepartment of Infectious Disease, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, China.
Yanhang GaoDepartment of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China.
Zhiping QianDepartment of Liver Intensive Care Unit, Shanghai Public Health Clinical Centre, Fudan University, Shanghai, China.
Xiaobo LuInfectious Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Feng LiuTianjin Institute of Hepatology, Nankai University Second People's Hospital, Tianjin, China.
Yu ShiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jia ShangDepartment of Infectious Diseases, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
Yubao ZhengDepartment of Infectious Diseases, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yingli HeDepartment of Infectious Disease, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Meiqian HuUniversity College London, Royal Free Campus, Institute for Liver and Digestive Health, London, United Kingdom.
Changze HongHepatology Unit, Department of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Sina Jameie-OskooeiUniversity College London, Royal Free Campus, Institute for Liver and Digestive Health, London, United Kingdom.
Raj MookerjeeUniversity College London, Royal Free Campus, Institute for Liver and Digestive Health, London, United Kingdom.
Mohammad Mahdi SaeidinejadUniversity College London, Royal Free Campus, Institute for Liver and Digestive Health, London, United Kingdom.
Sunil TanejaDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Jinjun ChenCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-4275-9149
Hai LiDepartment of Gastroenterology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ajay DusejaDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.ORCID https://orcid.org/0000-0003-3590-2664
Cornelius EngelmannUniversity College London, Royal Free Campus, Institute for Liver and Digestive Health, London, United Kingdom.ORCID https://orcid.org/0009-0006-3813-7397
Rajiv JalanUniversity College London, Royal Free Campus, Institute for Liver and Digestive Health, London, United Kingdom.ORCID https://orcid.org/0000-0002-7747-4015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Acute-on-chronic liver failure (ACLF) lacks a universally accepted definition, and recent efforts have proposed consensus organ failure criteria. In this study, we aimed to compare the clinical validity of a recently proposed consensus ACLF framework with the outcome-calibrated A-TANGO classification. Methods: We performed a multinational cohort study including 2,398 patients from the TIH cohort (India) and 2,568 from the CATCH-LIFE cohort (China) who were hospitalized with acute decompensation of cirrhosis. ACLF was defined using A-TANGO and an operationalized version of the 2025 consensus framework. Outcomes were 28- and 90-day mortality. Analyses assessed case capture, overlap, mortality risk, sensitivity, specificity, and net reclassification improvement (NRI). Results: ACLF prevalence differed substantially by definition. In TIH, A-TANGO classified 79.2% as ACLF versus 42.3% by the consensus definition; in CATCH-LIFE, the corresponding values were 31.4% versus 5.8%, respectively. Most consensus ACLF cases were captured by A-TANGO, which additionally classified 26%-37% of patients as having ACLF. These patients had substantial mortality (28-day: 18.1%-26.9%; 90-day: 33.2%-37.9%), significantly higher than those negative by both frameworks and comparable to established ACLF risk thresholds. A-TANGO showed higher sensitivity for 28-day mortality (TIH: 94.1% vs. 67.8%; CATCH-LIFE: 76.1% vs. 25.6%), whereas consensus criteria were more specific. Reclassification analyses showed improved discrimination with A-TANGO (NRI: 17.1% in TIH; 27.4% in CATCH-LIFE). Within the consensus non-ACLF group, A-TANGO further stratified patients into distinct risk groups with stepwise increase in mortality. Conclusions: In conclusion, the two frameworks identify fundamentally different populations. The consensus definition significantly reduces sensitivity and under-recognizes high-risk patients. Compared with consensus definitions, the outcome-calibrated framework better supports diagnosis, clinical decision-making, risk stratification, and trial design in ACLF.

Indexed as

Acute-on-chronic liver failureLiver cirrhosisMortalityMultiple organ failureRisk assessmentSensitivity and specificity

Identifiers

PMID42273386
PMCPMC13247718

What Socratic holds

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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 Socratic graph.