Evidence map›Paper›PMID 38384670›Full record

ArticleJHEP reports : innovation in hepatology2024

Enhancing ACLF prediction by integrating sarcopenia assessment and frailty in liver transplant candidates on the waiting list.

Gonzalo Gómez Perdiguero, Juan Carlos Spina, Jorge Martínez, Lorena Savluk, Julia Saidman, Mariano Bonifacio, Sofia Bakken, Marlene Padilla, Elena Gallego-Clemente, Víctor Moreno-González and 7 more

Open access · goldAbstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Assessment of sarcopenia in cirrhosis: A practical approach using thigh and psoas ultrasound, bioimpedance, and anthropometry.Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. 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

17 authors at 2 institutions in 2 countries.

Gonzalo Gómez PerdigueroLiver Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Juan Carlos SpinaLiver Transplant Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Jorge MartínezLiver Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Lorena SavlukLiver Transplant Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Julia SaidmanRadiology Department, Hospital Italiano de Bs As, Buenos Aires, Argentina.
Mariano BonifacioLiver Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Sofia BakkenLiver Transplant Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Marlene PadillaLiver Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Elena Gallego-ClementeBioDatev, León, España.
Víctor Moreno-GonzálezBioDatev, León, España.
Martin De SantibañesLiver Transplant Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Sebastián MarcianoLiver Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Eduardo De SantibañesLiver Transplant Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Adrían GadanoLiver Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Juan PekoljLiver Transplant Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Juan G AbraldesDivision of Gastroenterology, University of Alberta, CEGIIR, Edmonton, Canada.
Ezequiel MauroLiver Unit, Hospital Italiano de Bs. As., Buenos Aires, Argentina.
Hospital Italiano de Buenos Aires · ARUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: Malnutrition, sarcopenia, and frailty are prevalent in cirrhosis. We aimed to assess the correlation between assessment tools for malnutrition, sarcopenia, and frailty in patients on the liver transplant (LT) waiting list (WL), and to identify a predictive model for acute-on-chronic liver failure (ACLF) development. Methods: This prospective single-center study enrolled consecutive patients with cirrhosis on the WL for LT (May 2019-November 2021). Assessments included subjective global assessment, CT body composition, skeletal muscle index (SMI), ultrasound thigh muscle thickness, sarcopenia HIBA score, liver frailty index (LFI), hand grip strength, and 6-minute walk test at enrollment. Correlations were analyzed using Pearson's correlation. Competing risk regression analysis was used to assess the predictive ability of the liver- and functional physiological reserve-related variables for ACLF. Results: A total of 132 patients, predominantly with decompensated cirrhosis (87%), were included. Our study revealed a high prevalence of malnutrition (61%), sarcopenia (61%), visceral obesity (20%), sarcopenic visceral obesity (17%), and frailty (10%) among participants. Correlations between the assessment tools for sarcopenia and frailty were poor. Sarcopenia by SMI remained prevalent when frailty assessments were not usable. After a median follow-up of 10 months, 39% of the patients developed ACLF on WL, while 28% experienced dropouts without ACLF. Multivariate analysis identified MELD-Na, SMI, and LFI as independent predictors of ACLF on the WL. The predictive model MELD-Na-sarcopenia-LFI had a C-statistic of 0.85. Conclusions: The poor correlation between sarcopenia assessment tools and frailty underscores the importance of a comprehensive evaluation. The SMI, LFI, and MELD-Na independently predicted ACLF development in WL. These findings enhance our understanding of the relationship between sarcopenia, frailty, and ACLF in patients awaiting LT, emphasizing the need for early detection and intervention to improve WL outcomes. Impact and implications: The relationship between sarcopenia and frailty assessment tools, as well as their ability to predict acute-on-chronic liver failure (ACLF) in patients on the liver transplant (LT) waiting list (WL), remains poorly understood. Existing objective frailty screening tests have limitations when applied to critically ill patients. The correlation between sarcopenia and frailty assessment tools was weak, suggesting that they may capture different phenotypes. Sarcopenia assessed by skeletal muscle index, frailty evaluated using the liver frailty index, and the model for end-stage liver disease-Na score independently predicted the development of ACLF in patients on the WL. Our findings support the integration of liver frailty index and skeletal muscle index assessments at the time of inclusion on the WL for LT. This combined approach allows for the identification of a specific patient subgroup with an increased susceptibility to ACLF, underscoring the importance of early implementation of targeted treatment strategies to improve outcomes for patients awaiting LT.

Indexed as

ACLFFrailtyLiver TransplantSarcopenia

Identifiers

PMID38384670
PMCPMC10879792
OpenAlexW4389978485

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.