Evidence map›Paper›PMID 35068785›Full record

ArticleJournal of clinical and experimental hepatology

European Working Group on Sarcopenia in Older People (EWGSOP2) Criteria With Population-Based Skeletal Muscle Index Best Predicts Mortality in Asians With Cirrhosis.

Abhinav Anand, Srikant Mohta, Samagra Agarwal, Sanchit Sharma, Srikanth Gopi, Deepak Gunjan, Kumble S Madhusudhan, Namrata Singh, 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 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Prevention of Sarcopenia.Advances in experimental medicine and biology · 2025
    Review
  10. Article
  11. Quantitative Assessment of Body Composition in Cirrhosis.Diagnostics (Basel, Switzerland) · 2024
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Liver cirrhosis and sarcopenia: a dreadful combination.Hepatobiliary surgery and nutrition · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. 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

9 authors at 1 institution in 1 country.

Abhinav AnandDepartment of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi 110029, India.
Srikant MohtaDepartment of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi 110029, India.
Samagra AgarwalDepartment of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi 110029, India.
Sanchit SharmaDepartment of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi 110029, India.
Srikanth GopiDepartment of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi 110029, India.
Deepak GunjanDepartment of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi 110029, India.
Kumble S MadhusudhanDepartment of Radiology, All India Institute of Medical Sciences, New Delhi 110029, India.
Namrata SinghDepartment of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi 110029, India.
Anoop SarayaDepartment of Gastroenterology and Human Nutrition Unit, All India Institute of Medical Sciences, New Delhi 110029, India.
All India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsMultiple definitions of sarcopenia exist and the acceptable criterion that best predicts outcome is lacking. We estimated the prevalence of sarcopenia based on four criteria and assessed their utility in predicting mortality in cirrhotics.

methodsIn a prospective observational study, consecutive Asian patients with cirrhosis underwent testing for handgrip strength (HGS) and estimation of skeletal muscle index (SMI) using computed tomography at the third lumbar vertebra. Sarcopenia was defined based on the Western cut-off (WC; SMI < 50 cm

resultsWe included 219 patients with cirrhosis (168 men; mean age 42.6 years) with 50.2% patients having decompensation. Alcohol was the commonest aetiology (33.3%). The prevalence of sarcopenia was highest with the WC (men: 82.1%; women: 62.7%). There was a weak concordance among all criteria (Fleiss' kappa 0.23, 95% confidence interval [CI] 0.10-0.37). Overall, 12-month survival was 86.1% (81.1-91.3%) over a median (interquartile range) follow-up of 12 (6-15) months. Ascites (hazards ratio [HR] 6.27 [95% CI 1.6-24.1];

conclusionA weak concordance exists amongst various diagnostic definitions of sarcopenia. Sarcopenia diagnosed by a combination of low HGS and population-specific SMI cut-off (AC) best predicts mortality.

Indexed as

6MWD, 6-min walk distanceAC, Asian cut-offACLF, acute on chronic liver failureBMI, body mass indexCI, confidence intervalCT, computed tomographyCTP, Child-Turcotte-PughEWGSOP2EWGSOP2, European Working Group on Sarcopenia in Older People—2nd meetingHCC, hepatocellular cancerHE, hepatic encephalopathyHGS, handgrip strengthHR, hazards ratioHU, Hounsfield unitIQR, interquartile rangeLT, liver transplantMELD, model for end-stage liver diseasesarcopeniaSD, standard deviationskeletal muscle indexSMA, skeletal muscle areaSMI, skeletal muscle indexWC, Western cut-off

Identifiers

PMID35068785
PMCPMC8766536
OpenAlexW3153713105

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.