Evidence map›Paper›PMID 34173167›Full record

ArticleHepatology international2021

Comparative accuracy of prognostic models for short-term mortality in acute-on-chronic liver failure patients: CAP-ACLF.

Nipun Verma, Radha Krishan Dhiman, Virendra Singh, Ajay Duseja, Sunil Taneja, Ashok Choudhury, Manoj Kumar Sharma, C E Eapen, Harshad Devarbhavi, Mamun Al Mahtab and 35 more

Abstract readComparative Study
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In one paragraph

Article in Hepatology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Prognosis algorithms for acute decompensation of cirrhosis and ACLF.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  7. Management of the acute on chronic liver failure in the intensive care unit.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Acute-on-Chronic Liver Failure in Cirrhosis.Journal of clinical medicine · 2021
    Review
  14. 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

45 authors.

Nipun VermaDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Radha Krishan DhimanDepartment of Hepatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, 226014, India. rkpsdhiman@hotmail.com.
Virendra SinghDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ajay DusejaDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Sunil TanejaDepartment of Hepatology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
Ashok ChoudhuryDepartment of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India.
Manoj Kumar SharmaDepartment of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India.
C E EapenDepartment of Hepatology, CMC, Vellore, India.
Harshad DevarbhaviDepartment of Hepatology, St John Medical College, Bangalore, India.
Mamun Al MahtabDepartment of Hepatology, Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Akash ShuklaDepartment of Hepatology, Lokmanya Tilak Municipal General Hospital and Lokmanya Tilak Municipal Medical College, Sion, Mumbai, India.
Saeed Sadiq HamidDepartment of Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Wasim JafriDepartment of Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Amna Shubhan ButtDepartment of Medicine, Aga Khan University Hospital, Karachi, Pakistan.
Qin NingDepartment of Medicine, Tongji Hospital, Tongji Medical College, Wuhan, China.
Tao ChenDepartment of Medicine, Tongji Hospital, Tongji Medical College, Wuhan, China.
Soek Siam TanDepartment of Medicine, Hospital Selayang, Bata Caves, Selangor, Malaysia.
Laurentius A LesmanaDepartment of Medicine, Medistra Hospital, Jakarta, Indonesia.
Cosmas Rinaldi A LesmanaDepartment of Medicine, Medistra Hospital, Jakarta, Indonesia.
Manoj K SahuDepartment of Hepatology, IMS and SUM Hospital, Bhubaneswar, Odisha, India.
Jinhua HuDepartment of Medicine, 302 Military Hospital, Beijing, China.
Guan Huei LeeDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Ajit SoodDepartment of Gastroenterology, DMC, Ludhiana, India.
Vandana MidhaDepartment of Gastroenterology, DMC, Ludhiana, India.
Omesh GoyalDepartment of Gastroenterology, DMC, Ludhiana, India.
Hasmik GhazinianDepartment of Hepatology, Nork Clinical Hospital of Infectious Disease, Yerevan, Armenia.
Dong Joon KimDepartment of Internal Medicine, Hallym University College of Medicine, Seoul, Korea.
Sombat TreeprasertsukDepartment of Medicine, Chulalongkorn University, Bangkok, Thailand.
V G Mohan PrasadDepartment of Gastroenterology, VGM Hospital, Coimbatore, India.
Abdul Kadir DokmeciDepartment of Medicine, Ankara University School of Medicine, Ankara, Turkey.
Jose D SollanoDepartment of Medicine, University of Santo Tomas, Manila, Philippines.
Samir ShahGlobal Hospitals, Mumbai, India.
Diana Alcantara PayawalDepartment of Medicine, Cardinal Santos Medical Center, Metro Manila, Philippines.
P N RaoAsian Institute of Gastroenterology, Hyderabad, India.
Anand KulkarniAsian Institute of Gastroenterology, Hyderabad, India.
George K LauDepartment of Medicine, Humanity, and Health Medical Group, Hong Kong, China.
Zhongping DuanBeijing You'anmen Hospital, Translational Hepatology Institute Capital Medical University, Beijing, China.
Yu ChenBeijing You'anmen Hospital, Translational Hepatology Institute Capital Medical University, Beijing, China.
Osamu YokosukaChiba University, Chiba, Japan.
Zaigham AbbasDepartment of Medicine, Ziauddin University Hospital, Karachi, Pakistan.
Fazal KarimCMOSH Medical College, Agrabad, Chittagong, Bangladesh.
Debashish ChowdhurySir Salimullah Medical College, Mitford Hospital, Dhaka, Bangladesh.
Ananta Shrestha PrasadDepartment of Hepatology, Foundation Nepal Sitapaila Height, Kathmandu, Nepal.
Shiv Kumar SarinDepartment of Hepatology, Institute of Liver and Biliary Sciences, New Delhi, India.
APASL ACLF Working Party

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple predictive models of mortality exist for acute-on-chronic liver failure (ACLF) patients that often create confusion during decision-making. We studied the natural history and evaluated the performance of prognostic models in ACLF patients.

methodsProspectively collected data of ACLF patients from APASL-ACLF Research Consortium (AARC) was analyzed for 30-day outcomes. The models evaluated at days 0, 4, and 7 of presentation for 30-day mortality were: AARC (model and score), CLIF-C (ACLF score, and OF score), NACSELD-ACLF (model and binary), SOFA, APACHE-II, MELD, MELD-Lactate, and CTP. Evaluation parameters were discrimination (c-indices), calibration [accuracy, sensitivity, specificity, and positive/negative predictive values (PPV/NPV)], Akaike/Bayesian Information Criteria (AIC/BIC), Nagelkerke-R

resultsThirty-day survival of the cohort (n = 2864) was 64.9% and was lowest for final-AARC-grade-III (32.8%) ACLF. Performance parameters of all models were best at day 7 than at day 4 or day 0 (p < 0.05 for C-indices of all models except NACSELD-ACLF). On comparison, day-7 AARC model had the numerically highest c-index 0.872, best accuracy 84.0%, PPV 87.8%, R

conclusionsAPASL-ACLF is often a progressive disease, and models assessed up to day 7 of presentation reliably predict 30-day mortality. Day-7 AARC model is a statistically robust tool for classifying risk of death and accurately predicting 30-day outcomes with relatively lower prediction errors. Day-7 AARC score > 12 may be used as a futility criterion in APASL-ACLF patients.

Indexed as

Acute-On-Chronic Liver FailureAPACHEBayes TheoremHumansPredictive Value of TestsPrognosisAARCAPASLCILF-C ACLFDeathsEASLLiver failureMELDNACSELDNatural historyPrediction

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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.