Evidence map›Paper›PMID 28856540›Full record

ArticleHepatology international2017

Liver failure determines the outcome in patients of acute-on-chronic liver failure (ACLF): comparison of APASL ACLF research consortium (AARC) and CLIF-SOFA models.

A Choudhury, A Jindal, R Maiwall, M K Sharma, B C Sharma, V Pamecha, M Mahtab, S Rahman, Y K Chawla, S Taneja and 32 more

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In one paragraph

Article in Hepatology international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
131citing papers in PubMed, 3 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

131 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. [Guidelines for the diagnosis and treatment of acute-on-chronic liver failure (2025 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Guideline
  2. [Guidelines for diagnosis and treatment of liver failure (2024 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Guideline
  3. Pooled it
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  13. Beyond a Single Snapshot: Inflammatory Markers in Acute-on-chronic Liver Failure.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
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71 more citing papers are in PubMed but not listed here.

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

42 authors.

A ChoudhuryDepartment of Hepatology and Transplant, Institute of Liver and Biliary Sciences (ILBS), New Delhi, 110 070, India.
A JindalDepartment of Hepatology and Transplant, Institute of Liver and Biliary Sciences (ILBS), New Delhi, 110 070, India.
R MaiwallDepartment of Hepatology and Transplant, Institute of Liver and Biliary Sciences (ILBS), New Delhi, 110 070, India.
M K SharmaDepartment of Hepatology and Transplant, Institute of Liver and Biliary Sciences (ILBS), New Delhi, 110 070, India.
B C SharmaDepartment of Hepatology and Transplant, Institute of Liver and Biliary Sciences (ILBS), New Delhi, 110 070, India.
V PamechaDepartment of Hepatology and Transplant, Institute of Liver and Biliary Sciences (ILBS), New Delhi, 110 070, India.
M MahtabDepartment of Hepatology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
S RahmanDepartment of Hepatology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Y K ChawlaDepartment of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
S TanejaDepartment of Hepatology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
S S TanDepartment of Gastroenterology and Hepatology, Selayang Hospital, Kepong, Malaysia.
H DevarbhaviDepartment of Gastroenterology and Hepatology, St John Medical College, Bangalore, India.
Z DuanBeijing Youan Hospital, Capital Medical University, Beijing, China.
Chen YuBeijing Youan Hospital, Capital Medical University, Beijing, China.
Q NingDepartment of Infectious Disease, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China.
Ji Dong JiaLiver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
D AmarapurkarDepartment of Gastroenterology and Hepatology, Bombay Hospital and Medical Research Centre, Mumbai, India.
C E EapenDepartment of Gastrointestinal Sciences, Christian Medical College, Vellore, India.
A GoelDepartment of Gastrointestinal Sciences, Christian Medical College, Vellore, India.
S S HamidDepartment of Medicine, Aga Khan University Hospital, Karachi, Pakistan.
A S ButtDepartment of Medicine, Aga Khan University Hospital, Karachi, Pakistan.
W JafriDepartment of Medicine, Aga Khan University Hospital, Karachi, Pakistan.
D J KimHallym University Chuncheon Sacred Heart Hospital, Center for Liver and Digestive Diseases, Chuncheon, Gangwon-Do, Republic of Korea.
H GhazinianDepartment of Hepatology, Nork Clinical Hospital of Infectious Diseases, Yerevan, Armenia.
G H LeeDepartment of Gastroenterology and Hepatology, National University Health System, Singapore, Singapore.
Ajit SoodDepartment of Gastroenterology, Dayanand Medical College, Ludhiana, India.
L A LesmanaDivision of Hepatology, University of Indonesia, Jakarta, Indonesia.
Z AbbasDepartment of Hepatogastroenterology, Sindh Institute of Urology and Transplantation, Karachi, Pakistan.
G ShihaDepartment of Internal Medicine, Egyptian Liver Research Institute and Hospital, Cairo, Egypt.
D A PayawalDepartment of Hepatology, Cardinal Santos Medical Center, Manila, Philippines.
A K DokmeciDepartment of Gastroenterology, Ankara University School of Medicine, Ankara, Turkey.
J D SollanoCardinal Santos Medical Center, Metro Manila, Philippines.
G CarpioCardinal Santos Medical Center, Metro Manila, Philippines.
G K LauThe Institute of Translational Hepatology, Beijing, China.
F KarimSir Salimur Rehman Medical College, Mitford Hospital, Dhaka, Bangladesh.
P N RaoAsian Institute of Gastroenterology, Hyderabad, India.
R MoreauInserm, U1149, Centre de recherche sur l'Inflammation (CRI), UMR_S 1149, Labex INFLAMEX, Université Paris Diderot Paris 7, Paris, France.
P JainDepartment of Hepatology and Transplant, Institute of Liver and Biliary Sciences (ILBS), New Delhi, 110 070, India.
P BhatiaDepartment of Hepatology and Transplant, Institute of Liver and Biliary Sciences (ILBS), New Delhi, 110 070, India.
G KumarDepartment of Hepatology and Transplant, Institute of Liver and Biliary Sciences (ILBS), New Delhi, 110 070, India.
S K SarinDepartment of Hepatology and Transplant, Institute of Liver and Biliary Sciences (ILBS), New Delhi, 110 070, India. shivsarin@gmail.com.
APASL ACLF Working Party

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsAcute-on-chronic liver failure (ACLF) is a progressive disease associated with rapid clinical worsening and high mortality. Early prediction of mortality and intervention can improve patient outcomes. We aimed to develop a dynamic prognostic model and compare it with the existing models.

methodsA total of 1402 ACLF patients, enrolled in the APASL-ACLF Research Consortium (AARC) with 90-day follow-up, were analyzed. An ACLF score was developed in a derivation cohort (n = 480) and was validated (n = 922).

resultsThe overall survival of ACLF patients at 28 days was 51.7%, with a median of 26.3 days. Five baseline variables, total bilirubin, creatinine, serum lactate, INR and hepatic encephalopathy, were found to be independent predictors of mortality, with AUROC in derivation and validation cohorts being 0.80 and 0.78, respectively. AARC-ACLF score (range 5-15) was found to be superior to MELD and CLIF SOFA scores in predicting mortality with an AUROC of 0.80. The point scores were categorized into grades of liver failure (Gr I: 5-7; II: 8-10; and III: 11-15 points) with 28-day cumulative mortalities of 12.7, 44.5 and 85.9%, respectively. The mortality risk could be dynamically calculated as, with each unit increase in AARC-ACLF score above 10, the risk increased by 20%. A score of ≥11 at baseline or persisting in the first week was often seen among nonsurvivors (p = 0.001).

conclusionsThe AARC-ACLF score is easy to use, dynamic and reliable, and superior to the existing prediction models. It can reliably predict the need for interventions, such as liver transplant, within the first week.

Indexed as

Organ Dysfunction ScoresAcute-On-Chronic Liver FailureHumansPrognosisSensitivity and SpecificitySurvival AnalysisAARC scoreACLFCirrhosisLiver failureOrgan failure

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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.