Evidence map›Paper›PMID 39149647›Full record

ArticleCureus2024

Clinical Profile and Outcome of Patients Presenting With Acute-on-Chronic Liver Failure: A Single-Center Experience.

Payila Aneesh, Alok Kumar Singh, Venkatesh Vaithiyam, Roshan George, Shabir Lone, Sanjeev Sachdeva, Ashok Dalal, Ajay Kumar, Barjesh C Sharma

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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.

No citing paper in PubMed yet.

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

9 authors.

Payila AneeshGastroenterology, Govind Ballabh Pant Hospital, New Delhi, IND.
Alok Kumar SinghGastroenterology, Govind Ballabh Pant Hospital, New Delhi, IND.
Venkatesh VaithiyamGastroenterology, Govind Ballabh Pant Hospital, New Delhi, IND.
Roshan GeorgeGastroenterology, Govind Ballabh Pant Hospital, New Delhi, IND.
Shabir LoneGastroenterology, Govind Ballabh Pant Hospital, New Delhi, IND.
Sanjeev SachdevaGastroenterology, Govind Ballabh Pant Hospital, New Delhi, IND.
Ashok DalalGastroenterology, Govind Ballabh Pant Hospital, New Delhi, IND.
Ajay KumarGastroenterology, Govind Ballabh Pant Hospital, New Delhi, IND.
Barjesh C SharmaGastroenterology, Govind Ballabh Pant Hospital, New Delhi, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimWe aimed to study the etiologies and clinical profile and to describe the factors associated with mortality in acute-on-chronic liver failure (ACLF) patients at our center.

methodsPatients meeting the Asian Pacific Association for the Study of the Liver (APASL) definition of ACLF were included. We studied etiologies and clinical profile and analyzed the factors associated with mortality in patients with ACLF. We also analyzed the mortality rates based on the number of organ failures and the grade of ACLF.

results114 patients were included. Alcohol (82, 71.9%), drugs (22, 19.3%), and viral hepatitis (17, 14.9%) were the commonest precipitating factors of ACLF. The commonest cause of chronic disease was alcohol (83, 72.8%). Fifty-three (46.5%), 60 (52.6%), 44 (38.6%), 32 (28.1%), and 24 (21.1%) experienced renal, coagulation, cerebral, respiratory, and circulation failures, respectively. Overall, the in-hospital mortality rate stood at 54 (48.6%), with a median stay of eight days. Advanced hepatic encephalopathy and ventilator support independently predicted mortality. The Sequential Organ Failure Assessment (SOFA) score outperformed all other prognostic scores in predicting mortality in ACLF.

conclusionAlcohol was the most common precipitating factor for ACLF. The in-hospital mortality rate was 48.6%. Advanced hepatic encephalopathy and ventilator support independently predicted mortality. The SOFA score is a more accurate predictor of mortality in ACLF when compared to other prognostic scores.

Indexed as

aclfapaslmortalityorgan failuresofa score

Identifiers

PMID39149647
PMCPMC11326769

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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.