Evidence map›Paper›PMID 36950490›Full record

ReviewJournal of clinical and experimental hepatology

Recompensation in Cirrhosis: Current Evidence and Future Directions.

Sanchit Sharma, Akash Roy

Abstract readReview
In one paragraph

Review in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Early liver transplantation in alcohol-associated liver disease-Evolution of practice, patient selection, management, and outcomes.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2026
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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

2 authors.

Sanchit SharmaTranslational Gastroenterology Unit, John Radcliffe Hospital, Oxford, OX39DU, United Kingdom.
Akash RoyInstitute of Gastrosciences and Liver Transplantation, Apollo Multispeciality Hospitals, Kolkata, 700054, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The natural history of cirrhosis has usually been conceptualized in the context of progression from compensated cirrhosis to subsequent stages of decompensation. While this unidirectional concept is the most common pathophysiological trajectory, there has been an emerging understanding of a subgroup of patients which undergo recompensation. While literature mostly based on transplant waitlist registries have indicated towards such a population who experience disease regression, the overall literature about this entity remains inexplicit. An effort to generate consensus on defining recompensation has been attempted which comes with its own nuances and limitations. We summarize the available literature on this emerging yet controversial concept of recompensation in cirrhosis and delve into future implications and impact on real-life practice.

Indexed as

ALD, Alcoholic liver diseaseALF, Acute liver failureAPASL, Asia Pacific Association for the Study of LivercACLD, Compensated advanced chronic liver diseaseCAID, Cirrhosis associated immune dysfunctionCSPH, Clinically significant portal hypertensionCTP, Child-Turcotte-PughDC, Decompensated cirrhosisFAP, Familial amyloid polyneuropathyHBV, Hepatitis B VirusHCC, Hepatocellular carcinomaHCV, Hepatitis C VirusHE, Hepatic encephalopathyHVPG, Hepatic venous portal gradientINR, International normalized ratioliver diseaseLT, Liver transplantationMELD, Model for end-stage liver diseaseportal hypertensionrecompensationTIPSS, Transjugular intrahepatic porto-systemic shunt

Identifiers

PMID36950490
PMCPMC10025679

What OpenQuestion 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 OpenQuestion graph.