Evidence map›Paper›PMID 37859793›Full record

ArticleJapanese journal of comprehensive rehabilitation science2023

Accurate diagnosis of sarcopenia without using a body composition analyzer in a convalescent rehabilitation ward.

Norikazu Hishikawa, Koshiro Sawada, Sawa Shono, Momoko Sakurai, Megumi Yokozeki, Hiroshi Maeda, Suzuyo Ohashi, Keiichiro Ueshima, Yasuo Mikami

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In one paragraph

Article in Japanese journal of comprehensive rehabilitation science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 84% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 2 institutions in 1 country.

Norikazu HishikawaDepartment of Rehabilitation Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Koshiro SawadaDepartment of Rehabilitation Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Sawa ShonoDepartment of Rehabilitation, Gakusai Hospital, Kyoto Interdisciplinary Institute of Community Medicine, Kyoto, Japan.
Momoko SakuraiDepartment of Rehabilitation Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Megumi YokozekiDepartment of Neurology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Hiroshi MaedaDepartment of Rehabilitation Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Suzuyo OhashiDepartment of Rehabilitation Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Keiichiro UeshimaDepartment of Rehabilitation, Gakusai Hospital, Kyoto Interdisciplinary Institute of Community Medicine, Kyoto, Japan.
Yasuo MikamiDepartment of Rehabilitation Medicine, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Kyoto Prefectural University of Medicine · JPUniversity Hospital Kyoto Prefectural University of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hishikawa N, Sawada K, Shono S, Sakurai M, Yokozeki M, Maeda H, Ohashi S, Ueshima K, Mikami Y. Accurate diagnosis of sarcopenia without using a body composition analyzer in a convalescent rehabilitation ward. Jpn J Compr Rehabil Sci 2023; 14: 26-32. Objective: The Asian Working Group for Sarcopenia 2019 recommends diagnosing sarcopenia without using a body composition analyzer and initiating treatment early. The present study aimed to investigate the accuracy of diagnosing sarcopenia without a body composition analyzer in a convalescent rehabilitation ward. Methods: Eighty-five patients admitted to a convalescent rehabilitation ward were included, and sarcopenia diagnoses were performed with and without a body composition analyzer. To assess the accuracy of diagnosing sarcopenia without using a body composition analyzer, sensitivity, specificity, positive predictive value, and negative predictive value were calculated relative to sarcopenia diagnoses made using a body composition analyzer. Results: The sensitivity of the technique for diagnosing sarcopenia was 0.94, specificity was 0.77, positive predictive value was 0.86, and negative predictive value was 0.90. Conclusion: The accuracy of diagnosing sarcopenia without using a body composition analyzer was high. However, this technique may miss sarcopenia cases in patients with increased calf circumference due to adipose tissue and/or edema.

Indexed as

AWGS2019convalescent rehabilitation warddiagnosissarcopenia

Identifiers

PMID37859793
PMCPMC10585011
OpenAlexW4385189455

What OpenQuestion holds

Textmetadata
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.