Evidence map›Paper›PMID 41069070›Full record

SynthesisJournal of cachexia, sarcopenia and muscle2025

Sarcopenia and Its Individual Traits Independently Predict Mortality in Patients on Dialysis: A Systematic Review and Meta-Analysis.

Alice Sabatino, Alessandro Guerra, Kenia Mara Baiocchi de Carvalho, Lilian Cuppari, Juan Jesus Carrero, Peter Stenvinkel, Bengt Lindholm, Carla Maria Avesani

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Journal of cachexia, sarcopenia and muscle, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Observational
  4. Article
  5. 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

8 authors.

Alice SabatinoDivision of Renal Medicine, Baxter Novum, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-2098-7597
Alessandro GuerraNephrology Unit, Parma University Hospital, and Department of Medicine and Surgery, University of Parma, Parma, Italy.
Kenia Mara Baiocchi de CarvalhoFaculty of Health Sciences, Graduate Program in Public Health, University of Brasilia, Brazil.ORCID 0000-0003-2799-1038
Lilian CuppariDivision of Nephrology, Federal University of São Paulo, São Paulo, Brazil.ORCID 0000-0002-5927-9179
Juan Jesus CarreroDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-4763-2024
Peter StenvinkelDivision of Renal Medicine, Baxter Novum, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-8785-4820
Bengt LindholmDivision of Renal Medicine, Baxter Novum, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-4269-4293
Carla Maria AvesaniDivision of Renal Medicine, Baxter Novum, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-4458-8358

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) # 302765/2017-4Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (# 306489/2019-8European Renal Association
6 · The paper itself

Abstract

backgroundLoss of muscle mass, muscle weakness and the combination of the two are commonly observed in patients on dialysis and may have a negative impact on their survival. In this systematic review and meta-analysis (MA), we evaluated the consistency and strength of the association between mortality risk and the presence of low muscle mass with adequate muscle strength, low muscle strength with adequate muscle mass and sarcopenia (low muscle mass and strength combined) in patients on dialysis. Ultimately, we aimed to grade which of these three conditions had the strongest association with increased mortality risk in this vulnerable group of patients.

methodsWe searched for studies published until 31 January 2024 that evaluated sarcopenia and its individual components in patients aged > 18 years on dialysis (haemodialysis and peritoneal dialysis) and that had a mean follow-up for mortality for ≥ 12 months. Included studies had to enable the evaluation of sarcopenia traits to identify patients with low muscle mass and adequate muscle strength, low muscle strength with adequate muscle mass, and sarcopenia. A systematic search was conducted in MEDLINE (by PubMed), Embase, Web of Science, Lilacs and grey literature (i.e., Google Scholar and ProQuest). We estimated consistency in the association between sarcopenia traits and death using random effects MA and reporting hazard ratio (HR) with a 95% confidence interval (95% CI).

resultsThe electronic search retrieved 5712 records. After removing duplicated records and those that did not meet the eligibility criteria, 19 studies were included in the qualitative synthesis (4281 participants) and 17 studies (4024 participants) with extractable data for the MA. The MA showed low heterogeneity in the association between muscle parameters and sarcopenia with the risk of death: low muscle mass with adequate muscle strength, HR: 1.49; 95% CI: 1.04 to 2.13; I

conclusionAlthough being statistically significant, the association between low muscle mass and mortality seems to be less strong than the association between low muscle strength and mortality in patients on dialysis. Those presenting with a combination of the two traits, that is, sarcopenia, showed the highest risk of dying prematurely.

Indexed as

Renal DialysisSarcopeniaHumansMuscle Strengthchronic kidney diseasedialysismortalitymuscle massmuscle strengthsarcopeniasystematic review

Identifiers

PMID41069070
PMCPMC12510902

What OpenQuestion holds

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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.