Evidence map›Paper›PMID 37693274›Full record

ArticleJournal of clinical and experimental hepatology

An LSM Based Strategy is Comparable to HVPG Measurement to Predict Further Events in Patients with Cirrhosis with Variceal Bleeding as Their Index Decompensation.

Sanchit Sharma, Samagra Agarwal, Anoop Saraya

Open access · bronzeAbstract read
In one paragraph

Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Observational
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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

3 authors at 1 institution in 1 country.

Sanchit SharmaDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.
Samagra AgarwalDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.
Anoop SarayaDepartment of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Limited data exist on strategies other than hepatic venous pressure gradient (HVPG) estimation to predict future events in patients with cirrhosis presenting with variceal bleed (VB) but are otherwise compensated. We assessed whether liver stiffness measurement (LSM) during VB episode could accurately predict this risk. Methods: Consecutive patients with cirrhosis with VB as their index decompensation event underwent HVPG and LSM estimation during the VB episode in this prospective study. New onset further decompensation events (ascites, VB, encephalopathy) was assessed over follow-up. The performance characteristics of postbleed LSM were compared with model for end stage liver disease (MELD) score and HVPG to predict future decompensation and were cross-validated. Results: Mean age of the cohort (n = 68) was 44.2 years and alcohol-related liver disease (55.9%) was the most common etiology. Over a median follow-up of 14 (9-18) months, 18(26.4%) patients developed further decompensation with ascites being the most common event. Patients with further decompensation had a higher median postbleed LSM [60.5 kPa (53-70) vs. 25 kPa (18-34), Conclusion: Postbleed LSM is comparable to HVPG estimation in predicting further decompensation events in patients with otherwise compensated cirrhosis presenting with VB.

Indexed as

cirrhosisHVPGnomogramportal hypertensionpostbleed LSMvariceal bleed

Identifiers

PMID37693274
PMCPMC10482994
OpenAlexW4367396542

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.