Evidence map›Paper›PMID 42231838›Full record

Observational studyJPEN. Journal of parenteral and enteral nutrition2026

Combined GLIM-defined malnutrition and sarcopenia and the risk of 2-year mortality in adults with heart failure: A FRAGILE-HF study post hoc analysis.

Koji Matsuo, Kentaro Kamiya, Daichi Maeda, Nobuaki Hamazaki, Shota Uchida, Masashi Yamashita, Masaaki Konishi, Takatoshi Kasai, Hiroshi Saito, Yuki Ogasahara and 8 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in JPEN. Journal of parenteral and enteral nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

18 authors.

Koji MatsuoDepartment of Rehabilitation Sciences, Kitasato University Graduate School of Medical Sciences, Sagamihara, Japan.ORCID https://orcid.org/0000-0002-3076-4824
Kentaro KamiyaDepartment of Rehabilitation Sciences, Kitasato University Graduate School of Medical Sciences, Sagamihara, Japan.ORCID https://orcid.org/0000-0002-7706-9511
Daichi MaedaDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Nobuaki HamazakiDepartment of Rehabilitation, Kitasato University Hospital, Sagamihara, Japan.
Shota UchidaDepartment of Rehabilitation Sciences, Kitasato University Graduate School of Medical Sciences, Sagamihara, Japan.
Masashi YamashitaDepartment of Rehabilitation Sciences, Kitasato University Graduate School of Medical Sciences, Sagamihara, Japan.ORCID https://orcid.org/0000-0003-4680-1068
Masaaki KonishiDepartment of Cardiology, Yokohama City University School of Medicine, Yokohama, Japan.
Takatoshi KasaiDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Hiroshi SaitoDepartment of Rehabilitation, Kameda Medical Center, Kamogawa, Japan.ORCID https://orcid.org/0000-0002-3338-478X
Yuki OgasaharaDepartment of Nursing, The Sakakibara Heart Institute of Okayama, Okayama, Japan.
Takeshi KitaiDepartment of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Suita, Japan.
Kentaro IwataDepartment of Rehabilitation, Kobe City Medical Center General Hospital, Kobe, Japan.ORCID https://orcid.org/0000-0002-3571-6370
Kentaro JujoDepartment of Cardiology, Nishiarai Heart Center Hospital, Tokyo, Japan.
Hiroshi WadaDepartment of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Saitama, Japan.
Emi MaekawaDepartment of Cardiovascular Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Shin-Ichi MomomuraSaitama Citizens Medical Center, Saitama, Japan.
Nobuyuki KagiyamaDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.
Yuya MatsueDepartment of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine, Tokyo, Japan.

Funding

This study was partially supported by Novartis Pharma Research Grants, a Japan Heart Foundation Research Grant, EN Otsuka Pharmaceutical Co. Ltd. and the Japan Society for the Promotion of Science (JSPS) KAKENHI (grant nos. 21H03309 and 19K11424). The sponsors had no role in the study design, methods, patient recruitment, data collection, analysis or article preparation
6 · The paper itself

Abstract

backgroundMalnutrition is common in older patients with heart failure and predicts poor outcomes. However, the prognostic value of assessing muscle function and fat stores alongside GLIM remains unclear. We therefore tested whether assessing handgrip strength and fat mass index alongside GLIM improves risk stratification for mortality.

methodsWe conducted a post hoc analysis of patients ≥65 years in the multicenter observational FRAGILE-HF cohort. Malnutrition was evaluated using GLIM criteria at hospital discharge. Handgrip strength and fat mass index were also measured at discharge; low handgrip strength was defined as <28 kg in men and <18 kg in women, and low fat mass index as <4.62 kg/m

resultsOf 1332 patients, 834 were analyzed (median age, 81 years; 57.6% men). In four-group analyses, GLIM-defined malnutrition with low handgrip strength (HR, 2.06; 95% CI, 1.14-3.73; P = 0.02) and GLIM-defined malnutrition with low fat mass index (HR, 1.87; 95% CI, 1.25-2.80; P = 0.01) had higher mortality than the corresponding reference groups (absence of malnutrition with normal handgrip strength and absence of malnutrition with normal fat mass index).

conclusionAssessing handgrip strength or fat mass index alongside GLIM identified subgroups at higher risk of 2-year mortality.

Indexed as

Heart FailureMalnutritionSarcopeniaAgedAged, 80 and overBody Mass IndexFemaleHand StrengthHumansMalePrognosisProportional Hazards ModelsRisk Factorsfat massheart failuremalnutritionmuscle strengthprognosis

Identifiers

PMID42231838
PMCPMC13431834

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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.