Evidence map›Paper›PMID 35370897›Full record

ArticleFrontiers in neurology2022

Impact of Sarcopenia on Functional Outcomes Among Patients With Mild Acute Ischemic Stroke and Transient Ischemic Attack: A Retrospective Study.

Hyungwoo Lee, Il Hyung Lee, JoonNyung Heo, Minyoul Baik, Hyungjong Park, Hye Sun Lee, Hyo Suk Nam, Young Dae Kim

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07492849 (Prevalence and Associated Factors of Sarcopenia in Stroke Patients), which is not on this map. Cited by 32 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 5 pooled it
5.1field-weighted citation impact, top 3% 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.

NCT07492849 completednot on this mapstarted 2025, after this paper: background citation

Prevalence and Associated Factors of Sarcopenia in Stroke Patients: A Cross-Sectional Observational Study

TypeobservationalSponsorCishan Hospital, Ministry of Health and WelfareRan2025 to 2026Enrolled80ConditionsSarcopenia, Cerebral Stroke, Cerebral Vascular Accident (CVA)/StrokeArmsObjective assessments, Subjective assessment
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 5 syntheses or guidelines pooled it, 43 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Hyungwoo LeeDepartment of Neurology, Yonsei University College of Medicine, Seoul, South Korea.
Il Hyung LeeDepartment of Neurology, Yonsei University College of Medicine, Seoul, South Korea.
JoonNyung HeoDepartment of Neurology, Yonsei University College of Medicine, Seoul, South Korea.
Minyoul BaikDepartment of Neurology, Yonsei University College of Medicine, Seoul, South Korea.
Hyungjong ParkDepartment of Neurology, Yonsei University College of Medicine, Seoul, South Korea.
Hye Sun LeeBiostatistics Collaboration Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, South Korea.
Hyo Suk NamDepartment of Neurology, Yonsei University College of Medicine, Seoul, South Korea.
Young Dae KimDepartment of Neurology, Yonsei University College of Medicine, Seoul, South Korea.
Yonsei University · KRKeimyung University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Sarcopenia, a age-related disease characterized by loss of muscle mass accompanied by loss of function, is associated with nutrition imbalance, physical inactivity, insulin resistance, inflammation, metabolic syndrome, and atherosclerosis which are risk factors for cardiovascular disease. However, its association with outcomes after ischemic stroke has not been well-established. This study investigated whether functional outcomes of patients with acute ischemic stroke is associated with sarcopenia. Methods: Data were collected from 568 consecutive patients with acute ischemic stroke with National Institute of Health Stroke Scale 0-5 or transient ischemic attack who underwent bioelectrical impedance analysis between March 2018 and March 2021. Sarcopenia was defined, as low muscle mass, as measured by bioelectrical impedance analysis, and low muscle strength, as indicated by the Medical Research Council score. Unfavorable functional outcome was defined as mRS score of 2-6 at 90 days after discharge. The relationship between functional outcomes and the presence of sarcopenia or its components was determined. Results: Of the 568 patients included (mean age 65.5 ± 12.6 years, 64.6% male), sarcopenia was detected in 48 (8.5%). After adjusting for potential confounders, sarcopenia was independently and significantly associated with unfavorable functional outcome (odds ratio 2.37, 95% confidence interval 1.15-4.73 for unfavorable functional outcome, odds ratio 2.10, 95% confidence interval 1.18-3.71 for an increase in the mRS score). Each component of sarcopenia was also independently associated with unfavorable functional outcome (odds ratio 1.76, 95% confidence interval 1.05-2.95 with low muscle mass, odds ratio 2.64, 95% confidence interval 1.64-4.23 with low muscle strength). The impact of low muscle mass was larger in men than in women, and in patients with lower muscle mass of the lower extremities than in those with lower muscle mass of the upper extremities. Conclusions: In this study, the prevalence of sarcopenia in patients with stroke was lower than most of previous studies and patients with sarcopenia showed higher likelihood for unfavorable functional outcomes at 90 days after acute ischemic stroke or TIA. Further investigation of the interventions for treating sarcopenia and its impact on the outcome of ischemic stroke patients is needed.

Indexed as

agedmuscleprognosissarcopeniastroke

Identifiers

PMID35370897
PMCPMC8964497
OpenAlexW4220862354

What OpenQuestion holds

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LicenceCC BY
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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.