Evidence map›Paper›PMID 32210546›Full record

ArticleClinical interventions in aging2020

Diagnosis of Presarcopenia Using Body Height and Arm Span for Postmenopausal Osteoporosis.

Yuichi Ono, Naohisa Miyakoshi, Yuji Kasukawa, Manabu Akagawa, Ryota Kimura, Itsuki Nagahata, Yusuke Yuasa, Chiaki Sato, Yoichi Shimada

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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  9. Long-Term Benefits of Tailored Exercise in Severe Sarcoidosis: A Case Report.International journal of environmental research and public health · 2020
    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

9 authors at 1 institution in 1 country.

Yuichi OnoDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0001-9250-457X
Naohisa MiyakoshiDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0001-5175-3350
Yuji KasukawaDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0001-7008-675X
Manabu AkagawaDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0002-4420-4326
Ryota KimuraDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0002-4855-3283
Itsuki NagahataDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0002-1699-3284
Yusuke YuasaDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0002-5659-7278
Chiaki SatoDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0003-1449-2053
Yoichi ShimadaDepartment of Orthopedic Surgery, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0002-6523-3249
Akita University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSarcopenia and osteoporosis are both serious health problems in postmenopausal women. The Asia Working Group for Sarcopenia recommends using the skeletal muscle index (SMI), which is height-adjusted appendicular skeletal muscle mass (ASMM). However, loss of height has been shown to be a common clinical finding in patients with osteoporosis. This study examined the prevalence of presarcopenia using height and arm span, which is a predictor of height, and investigated the diagnostic accuracy for presarcopenia.

methodsA total of 55 post-menopausal osteoporotic patients aged 62-95 years underwent bioelectrical impedance analysis (BIA) for ASMM measurement and dual-energy X-ray absorptiometry (DXA) scan for bone mineral density (BMD). Anthropometric measurements, including height, weight, and arm span were taken, and body mass index (BMI), SMI, and arm span-adjusted SMI (Arm span SMI) were calculated. Presarcopenia was defined as SMI or Arm span SMI <5.7 kg/m

resultsThe prevalence of presarcopenia was 27.3% and 38.2% evaluated by SMI and Arm span SMI, respectively. The prevalence of presarcopenia was higher when evaluated by Arm span SMI than by SMI. In the presarcopenia group diagnosed only by Arm span SMI (n=11), the arm span-height difference was significantly higher (

conclusionThese results indicated that Arm span SMI might be useful for the diagnosis of sarcopenia in patients with severe osteoporosis and kyphosis.

Indexed as

Body HeightAbsorptiometry, PhotonAgedAged, 80 and overArmBody Mass IndexBone DensityElectric ImpedanceFemaleHumansMiddle AgedMuscle, SkeletalOsteoporosis, PostmenopausalSarcopeniaarm spanbody heightosteoporosispresarcopeniaskeletal muscle mass

Identifiers

PMID32210546
PMCPMC7069572
OpenAlexW3009151197

What OpenQuestion holds

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LicenceCC BY-NC
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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.