Evidence map›Paper›PMID 36615772›Full record

SynthesisNutrients2022

Trajectories of the Prevalence of Sarcopenia in the Pre- and Post-Stroke Periods: A Systematic Review.

Tatsuro Inoue, Junko Ueshima, Fumiya Kawase, Haruko Kobayashi, Ayano Nagano, Kenta Murotani, Yoko Saino, Keisuke Maeda

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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.

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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 42 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 6 institutions in 1 country.

Tatsuro InoueDepartment of Physical Therapy, Niigata University of Health and Welfare, Niigata 950-3198, Japan.ORCID 0000-0001-6959-6381
Junko UeshimaDepartment of Nutrition Service, NTT Medical Center Tokyo, Tokyo 141-8625, Japan.ORCID 0000-0002-5709-4541
Fumiya KawaseDepartment of Nutrition, Asuke Hospital Aichi Prefectural Welfare Federation of Agricultural Cooperatives, Aichi 444-2351, Japan.ORCID 0000-0001-6187-4543
Haruko KobayashiGeneral Incorporated Association Manabi Public Library, Aichi 465-0015, Japan.
Ayano NaganoDepartment of Nursing, Nishinomiya Kyoritsu Neurosurgical Hospital, Hyogo 663-8211, Japan.ORCID 0000-0002-0629-085X
Kenta MurotaniBiostatistics Center, Kurume University, Fukuoka 830-0011, Japan.ORCID 0000-0003-0623-9365
Yoko SainoDepartment of Clinical Nutrition, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo 135-8550, Japan.ORCID 0000-0002-1888-0953
Keisuke MaedaDepartment of Geriatric Medicine, Hospital, National Center for Geriatrics and Gerontology, Aichi 474-8511, Japan.ORCID 0000-0001-7132-7818
Japanese Foundation For Cancer Research · JPKurume University · JPNational Center for Geriatrics and Gerontology · JPNiigata University of Health and Welfare · JPNishinomiya Kyoritsu Neurosurgical Hospital · JPNTT Medical Center · JP

Funding

Japan Society for the Promotion of Science 21H03390Japan Society for the Promotion of Science 22H04923
6 · The paper itself

Abstract

Interventions for stroke-related sarcopenia in patients with stroke are needed, but the details of the target population are unclear. This systematic review aimed to identify trajectories of the prevalence of sarcopenia in the pre- and post-stroke periods and to determine the diagnostic criteria used in patients with stroke. We searched for literature in six databases: MEDLINE, EMBASE, Web of Science, Cochrane Central Register of Controlled Trials, CINAHL, and Ichushi-web (in Japanese). We included 1627 studies in the primary screening, and 35 studies were finally included. Of the 35 studies, 32 (91.4%) included Asian patients, and the criteria of the Asian Working Group for Sarcopenia was mainly used as the diagnostic criteria. Nineteen studies used muscle strength and muscle mass to diagnose sarcopenia, whereas a full assessment, including physical performance, was performed in five studies. The estimated prevalences of sarcopenia in pre-stroke, within 10 days of stroke, and from 10 days to 1 month after stroke were 15.8%, 29.5%, and 51.6%, respectively. Sarcopenia increased by approximately 15% from pre-stroke to 10 days, and increased by approximately 20% from 10 days to 1 month. Healthcare providers should note that the prevalence of sarcopenia increases during the acute phase in patients with stroke.

Indexed as

SarcopeniaStrokeHumansMuscle StrengthPrevalenceagedcerebrovascular diseasemuscular atrophynutrition therapy

Identifiers

PMID36615772
PMCPMC9824538
OpenAlexW4313414049

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.