Evidence map›Paper›PMID 33991331›Full record

ArticleAging clinical and experimental research2021

Malnutrition, assessed by the Global Leadership Initiative on Malnutrition (GLIM) criteria but not by the mini nutritional assessment (MNA), predicts the incidence of sarcopenia over a 5-year in the SarcoPhAge cohort.

Laetitia Lengelé, Olivier Bruyère, Charlotte Beaudart, Jean-Yves Reginster, Médéa Locquet

Erratum issued Registry-linked trialOpen access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06031766 (Comparison of CIPA With the GLIM Criteria of Malnutrition and Prevalence of Sarcopenia in Inpatients), which is not on this map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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.

NCT06031766 unknown statusnot on this mapstarted 2022, after this paper: background citation

Comparison of CIPA With the GLIM Criteria of Malnutrition and Prevalence of Sarcopenia in Inpatients

TypeobservationalSponsorUniversity Hospital of the Nuestra Señora de CandelariaRan2022 to 2024Enrolled490ConditionsMalnutritionArmsDietary supplement
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  10. The role of nutrition in the prevention of sarcopenia.The American journal of clinical nutrition · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 2 countries.

Laetitia LengeléWHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, CHU-Sart Tilman, Quartier Hôpital, Avenue Hippocrate 13 (Bât. B23), 4000, Liège, Belgium. llengele@uliege.be.ORCID http://orcid.org/0000-0002-5139-3591
Olivier BruyèreWHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, CHU-Sart Tilman, Quartier Hôpital, Avenue Hippocrate 13 (Bât. B23), 4000, Liège, Belgium.
Charlotte BeaudartWHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, CHU-Sart Tilman, Quartier Hôpital, Avenue Hippocrate 13 (Bât. B23), 4000, Liège, Belgium.
Jean-Yves ReginsterWHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, CHU-Sart Tilman, Quartier Hôpital, Avenue Hippocrate 13 (Bât. B23), 4000, Liège, Belgium.
Médéa LocquetWHO Collaborating Centre for Public Health Aspects of Musculoskeletal Health and Aging, Division of Public Health, Epidemiology and Health Economics, University of Liège, CHU-Sart Tilman, Quartier Hôpital, Avenue Hippocrate 13 (Bât. B23), 4000, Liège, Belgium.
University of Liège · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe capacity of malnutrition screening to predict the onset of sarcopenia is unknown.

aimOur first objective is to explore the association between the screening of malnutrition and the incidence of sarcopenia and then, to assess the added value of the diagnosis of malnutrition to predict sarcopenia over a 5-year follow-up.

methodsMalnutrition was screened at baseline according to the MNA short-form (MNA-SF) and long-form (MNA-LF) and was diagnosed by the GLIM definition. Sarcopenia was defined using the European Working Group on Sarcopenia in Older People (EWGSOP2) criteria. Kaplan-Meier analysis and adjusted Cox regression were performed to explore the association between nutritional status and the incidence of sarcopenia.

resultsA total of 418 participants were analyzed (median age 71.7 years (67.7 - 76.8), 60% women) for our first objective. Among them, 64 (15.3%) became sarcopenic during the follow-up period. In the adjusted model, the incidence of sarcopenia was nonsignificantly associated with the risk of malnutrition for both forms of the MNA (MNA-SF: HR of 1.68 (95% CI 0.95 - 2.99); MNA-LF: HR of 1.67 (95% CI 0.86 - 3.26)). However, among the 337 participants for which a GLIM assessment was possible and in which 46 participants became sarcopenic, malnourished subjects had a higher risk than well-nourished participants of developing sarcopenia after 5 years, with an adjusted HR of 3.19 (95% CI 1.56 - 6.50).

conclusionA full diagnosis of malnutrition seems more useful than a simple malnutrition screening to predict the incidence of sarcopenia over 5 years.

Indexed as

MalnutritionSarcopeniaAgedFemaleGeriatric AssessmentHumansIncidenceLeadershipMaleNutritional StatusNutrition AssessmentEWGSOP2GLIMMalnutritionMNASarcopeniaSarcoPhAge

Identifiers

PMID33991331
OpenAlexW3161041077

What OpenQuestion holds

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Registered trials

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.