Evidence map›Paper›PMID 28542531›Full record

ArticlePloS one2017

New diagnostic index for sarcopenia in patients with cardiovascular diseases.

Haruhito Harada, Hisashi Kai, Rei Shibata, Hiroshi Niiyama, Yasuhiro Nishiyama, Toyoaki Murohara, Noriko Yoshida, Atsushi Katoh, Hisao Ikeda

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
4.5field-weighted citation impact, top 5% 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, 3 syntheses or guidelines pooled it, 58 citations in OpenAlex.

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  17. Association between serum GDF-15, myostatin, and sarcopenia in cardiovascular surgery patients.International journal of cardiology. Heart & vasculature · 2022
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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

9 authors at 4 institutions in 1 country.

Haruhito HaradaDepartment of Cardiology, Kurume University Medical Center, Kurume, Japan.ORCID http://orcid.org/0000-0002-3042-3843
Hisashi KaiDepartment of Cardiology, Kurume University Medical Center, Kurume, Japan.
Rei ShibataDepartment of Advanced Cardiovascular Therapeutics, Nagoya University, Nagoya, Japan.
Hiroshi NiiyamaDepartment of Cardiology, Kurume University Medical Center, Kurume, Japan.
Yasuhiro NishiyamaDepartment of Cardiology, Kurume University Medical Center, Kurume, Japan.
Toyoaki MuroharaDepartment of Cardiology, Nagoya University, Nagoya, Japan.
Noriko YoshidaInstitute of Health and Sports Sciences, Kurume University, Kurume, Japan.
Atsushi KatohDepartment of Cardiology, Kurume University Medical Center, Kurume, Japan.
Hisao IkedaDepartment of Physical Therapy, Faculty of Fukuoka Medical Technology, Teikyo University, Omuta, Japan.
Kurume University Medical Center · JPNagoya University · JPKurume University · JPTeikyo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSarcopenia is an aging and disease-related syndrome characterized by progressive and generalized loss of skeletal muscle mass and strength, with the risk of frailty and poor quality of life. Sarcopenia is diagnosed by a decrease in skeletal muscle index (SMI) and reduction of either handgrip strength or gait speed. However, measurement of SMI is difficult for general physicians because it requires special equipment for bioelectrical impedance assay or dual-energy X-ray absorptiometry. The purpose of this study was, therefore, to explore a novel, simple diagnostic method of sarcopenia evaluation in patients with cardiovascular diseases (CVD).

methodsWe retrospectively investigated 132 inpatients with CVD (age: 72±12 years, age range: 27-93 years, males: 61%) Binomial logistic regression and correlation analyses were used to assess the associations of sarcopenia with simple physical data and biomarkers, including muscle-related inflammation makers and nutritional markers.

resultsSarcopenia was present in 29.5% of the study population. Serum concentrations of adiponectin and sialic acid were significantly higher in sarcopenic than non-sarcopenic CVD patients. Stepwise multivariate binomial logistic regression analysis revealed that adiponectin, sialic acid, sex, age, and body mass index were independent factors for sarcopenia detection. Sarcopenia index, obtained from the diagnostic regression formula for sarcopenia detection including the five independent factors, indicated a high accuracy in ROC curve analysis (sensitivity 94.9%, specificity 69.9%) and the cutoff value for sarcopenia detection was -1.6134. Sarcopenia index had a significant correlation with the conventional diagnostic parameters of sarcopenia.

conclusionsOur new sarcopenia index using simple parameters would be useful for diagnosing sarcopenia in CVD patients.

Indexed as

Absorptiometry, PhotonAdiponectinAdultAgedAged, 80 and overAge FactorsArea Under CurveBody Mass IndexCardiovascular DiseasesFemaleHand StrengthHumansMaleMiddle AgedMuscle, SkeletalMuscle StrengthAdiponectinN-Acetylneuraminic Acid

Identifiers

PMID28542531
PMCPMC5436875
OpenAlexW2616367538

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Registered trials

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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.