Evidence map›Paper›PMID 32996109›Full record

ArticleJournal of nephrology2021

Feasibility of computed tomography-based assessment of skeletal muscle mass in hemodialysis patients.

Tomoaki Takata, Aki Motoe, Katsumi Tanida, Sosuke Taniguchi, Ayami Ida, Kentaro Yamada, Shintaro Hamada, Masaya Ogawa, Marie Yamamoto, Yukari Mae and 4 more

Abstract read
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In one paragraph

Article in Journal of nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

14 authors.

Tomoaki TakataDivision of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Nishimachi 36-1, Yonago, 683-8504, Japan. t-takata@tottori-u.ac.jp.ORCID http://orcid.org/0000-0003-2959-6015
Aki MotoeKidney Center, Sanin Rosai Hospital, Yonago, Japan.
Katsumi TanidaTaniguchi Hospital, Kurayoshi, Japan.
Sosuke TaniguchiKidney Center, Sanin Rosai Hospital, Yonago, Japan.
Ayami IdaKidney Center, Sanin Rosai Hospital, Yonago, Japan.
Kentaro YamadaDivision of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Nishimachi 36-1, Yonago, 683-8504, Japan.
Shintaro HamadaDivision of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Nishimachi 36-1, Yonago, 683-8504, Japan.
Masaya OgawaKidney Center, Sanin Rosai Hospital, Yonago, Japan.
Marie YamamotoDivision of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Nishimachi 36-1, Yonago, 683-8504, Japan.
Yukari MaeDivision of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Nishimachi 36-1, Yonago, 683-8504, Japan.
Takuji IyamaDivision of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Nishimachi 36-1, Yonago, 683-8504, Japan.
Munehiro TaniguchiTaniguchi Hospital, Kurayoshi, Japan.
Akihisa NakaokaKidney Center, Sanin Rosai Hospital, Yonago, Japan.
Hajime IsomotoDivision of Gastroenterology and Nephrology, Department of Multidisciplinary Internal Medicine, Faculty of Medicine, Tottori University, Nishimachi 36-1, Yonago, 683-8504, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is a major health issue especially in patients on maintenance hemodialysis. Low skeletal muscle mass is included in the diagnostic criteria for sarcopenia. The skeletal muscle mass is usually evaluated by modalities such as bioimpedance analysis (BIA) or dual-energy X-ray absorptiometry, however the assessment of skeletal muscle mass using computed tomography (CT) images has not been established. The purpose of the study was to investigate the feasibility of the assessment of skeletal muscle mass using CT images in hemodialysis patients.

methodsSkeletal muscle mass index (SMI) was measured by BIA and psoas muscle index (PMI) was measured by cross-sectional CT images in 131 patients. The relationship between SMI and PMI and the diagnostic ability of PMI for low muscle mass were evaluated. Furthermore, the patients were followed up and long-term survival in patients with low and high PMI were compared.

resultsPMI measured at the L3 vertebral level was strongly correlated with SMI (r = 0.597, p < 0.001). Age, sex, and SMI were the influencing factors for PMI. Patients with low PMI showed higher incidence rates of mortality during the follow up.

conclusionsPMI assessed by CT image can be an alternative to BIA in patients on hemodialysis.

Indexed as

Psoas MusclesTomography, X-Ray ComputedCross-Sectional StudiesFeasibility StudiesHumansRenal DialysisBioimpedance analysisMuscle wastingPsoas muscleSarcopenia

Identifiers

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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.