Evidence map›Paper›PMID 41436558›Full record

Observational studyScientific reports2025

Impact of lean body mass index on short-term outcomes in patients with ischemic stroke: an observational cohort study.

Go Hashimoto, Kuniyuki Nakamura, Fumi Irie, Noriyuki Sahara, Takuya Kiyohara, Yoshinobu Wakisaka, Ryu Matsuo, Masahiro Kamouchi, Tetsuro Ago, Fukuoka Stroke Registry Investigators

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

10 authors.

Go HashimotoDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Kuniyuki NakamuraDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Fumi IrieDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Noriyuki SaharaDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Takuya KiyoharaDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Yoshinobu WakisakaDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Ryu MatsuoDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan. matsuo.ryu.838@m.kyushu-u.ac.jp.
Masahiro KamouchiDepartment of Health Care Administration and Management, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Tetsuro AgoDepartment of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-Ku, Fukuoka, 812-8582, Japan.
Fukuoka Stroke Registry Investigators

Funding

Japan Society for the Promotion of Science JP24K02669Japan Society for the Promotion of Science JP25H01083
6 · The paper itself

Abstract

The influence of muscle mass on post-stroke outcomes remains unclear. This study aimed to investigate whether lean body mass index (LBMI), a surrogate for muscle mass, is independently associated with 3-month outcomes after acute ischemic stroke. We analyzed data of 10,735 patients with acute ischemic stroke enrolled in the Fukuoka Stroke Registry between June 2007 and September 2019. LBMI and fat mass index (FMI) were calculated using validated anthropometric prediction equations. Patients were categorized into sex-specific LBMI quartiles. Outcomes included poor functional outcomes (modified Rankin Scale [mRS] score, 3-6), functional dependency (mRS score, 3-5), and mortality at 3 months. Multivariable logistic regression was used to assess associations between LBMI and outcomes, after adjusting for clinical covariates and FMI. As LBMI increased, proportions of poor functional outcomes, functional dependency, and mortality decreased. After multivariable adjustment, higher LBMI was associated with lower odds of poor functional outcome and mortality. These associations remained significant even after further adjustment for FMI. In the subgroup analysis, a significant interaction was observed between LBMI and diabetes for poor functional outcomes (P-value for interaction = 0.03). Thus, higher LBMI was independently associated with better short-term outcomes after ischemic stroke, indicating that skeletal muscle mass may be a crucial prognostic factor distinct from fat mass.

Indexed as

Body Mass IndexIschemic StrokeAgedAged, 80 and overCohort StudiesFemaleHumansMaleMiddle AgedMuscle, SkeletalPrognosisFat massIschemic strokeLean body massOutcomeSkeletal muscle

Identifiers

PMID41436558
PMCPMC12820029

What Socratic 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 Socratic graph.