Evidence map›Paper›PMID 32748172›Full record

ReviewJournal of gastroenterology2020

Clinical impact of sarcopenia assessment in patients with hepatocellular carcinoma undergoing treatments.

Giovanni Marasco, Matteo Serenari, Matteo Renzulli, Luigina Vanessa Alemanni, Benedetta Rossini, Irene Pettinari, Elton Dajti, Federico Ravaioli, Rita Golfieri, Matteo Cescon and 2 more

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 7 pooled it
8.4field-weighted citation impact, top 2% 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

69 citing papers in PubMed, 7 syntheses or guidelines pooled it, 99 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Guideline
  8. Bioimpedance Analysis to Predict Clinical Outcomes of Liver Cirrhosis in a Prospective Cohort Study.JGH open : an open access journal of gastroenterology and hepatology · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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

12 authors at 2 institutions in 1 country.

Giovanni MarascoDepartment of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40126, Bologna, Italy. giovanni.marasco4@unibo.it.ORCID http://orcid.org/0000-0001-7167-8773
Matteo SerenariDepartment of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40126, Bologna, Italy.
Matteo RenzulliRadiology Unit, Sant'Orsola Malpighi Hospital, Via Albertoni 4, 40138, Bologna, Italy.
Luigina Vanessa AlemanniDepartment of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40126, Bologna, Italy.
Benedetta RossiniDepartment of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40126, Bologna, Italy.
Irene PettinariRadiology Unit, Sant'Orsola Malpighi Hospital, Via Albertoni 4, 40138, Bologna, Italy.
Elton DajtiDepartment of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40126, Bologna, Italy.
Federico RavaioliDepartment of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40126, Bologna, Italy.
Rita GolfieriRadiology Unit, Sant'Orsola Malpighi Hospital, Via Albertoni 4, 40138, Bologna, Italy.
Matteo CesconDepartment of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40126, Bologna, Italy.
Davide FestiDepartment of Medical and Surgical Sciences, University of Bologna, Via Massarenti 9, 40126, Bologna, Italy.
Antonio ColecchiaGastroenterology Unit, University Hospital Borgo Trento, Verona, Italy.
University of Bologna · ITIRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in body composition are associated with poor outcomes in cancer patients including hepatocellular carcinoma (HCC). Sarcopenia, defined as the loss of skeletal muscle mass, quality and function, has been associated with a higher rate of complications and recurrences in patients with cirrhosis and HCC. The assessment of patient general status before HCC treatment, including the presence of sarcopenia, is a key-point for achieving therapy tolerability and to avoid short- and long-term complications leading to poor patients' survival. Thus, we aimed to review the current literature evaluating the role of sarcopenia assessment related to HCC treatments and to critically provide the clinicians with the most recent and valuable evidence. As a result, sarcopenia can be predictive of poor outcomes in patients undergoing liver resection, transplantation and systemic therapies, offering the chance to clinicians to improve the muscular status of these patients, especially those with high-grade sarcopenia at high risk of mortality. Further studies are needed to clarify the predictive value of sarcopenia in other HCC treatment settings and to evaluate its role as an additional staging tool for identifying the most appropriate treatment. Besides, interventional studies aiming at increasing the skeletal muscle mass for reducing complications and increasing the survival in patients with HCC are needed.

Indexed as

Body CompositionCarcinoma, HepatocellularHepatectomyHumansLiver CirrhosisLiver NeoplasmsMuscle, SkeletalSarcopeniaSurvival RateHepatocellular carcinomaLiver resectionSarcopeniaSorafenib

Identifiers

PMID32748172
PMCPMC7519899
OpenAlexW3047392595

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.