Evidence map›Paper›PMID 33357306›Full record

ArticlePreventing chronic disease2020

Overweight, Obesity, and Late-Life Sarcopenia Among Men With Cardiovascular Disease, Israel.

Miri Lutski, Galit Weinstein, David Tanne, Uri Goldbourt

Open access · diamondAbstract read
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Article in Preventing chronic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-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

8 citing papers in PubMed, 14 citations in OpenAlex.

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  8. Understanding the development of sarcopenic obesity.Expert review of endocrinology & metabolism
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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

4 authors at 4 institutions in 1 country.

Miri LutskiThe Israel Center for Disease Control, Israel Ministry of Health, Tel Hashomer, Israel.
Galit WeinsteinSchool of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Haifa, Israel.
David TanneDepartment of Neurology, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Uri GoldbourtDepartment of Epidemiology and Preventive Medicine, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Israel Ministry of Health · ILRambam Health Care Campus · ILTel Aviv University · ILUniversity of Haifa · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLittle is known about the association between obesity and sarcopenia - age-related loss of muscle mass and function - among patients with cardiovascular disease. We investigated the association between overweight, obesity, and sarcopenia among community-dwelling men in Israel with cardiovascular disease.

methodsA subset of 337 men (mean age at baseline 56.7 [SD, 6.5]) who previously (1990-1997) participated in the Bezafibrate Infarction Prevention trial underwent a neurovascular evaluation as part of the Bezafibrate Infarction Prevention Neurocognitive Study 15.0 (SD, 3.0) years after baseline and a sarcopenia evaluation 19.9 (SD, 1.0) years after baseline. We applied a multinomial logistic model to estimate odds ratios and 95% CIs for 3 categories of sarcopenia: no evidence of sarcopenia (ie, robust), probable sarcopenia, and sarcopenia.

resultsWe found sarcopenia among 54.3% of participants with obesity (body mass index [BMI, in kg/m

conclusionWe found a positive association between obesity and late-life sarcopenia and suggest that obesity might be an important modifiable risk factor related to sarcopenia among men with cardiovascular disease.

Indexed as

Cardiovascular DiseasesObesityOverweightSarcopeniaBody Mass IndexHumansIsraelMaleMiddle AgedRisk Factors

Identifiers

PMID33357306
PMCPMC7784548
OpenAlexW3115485920

What OpenQuestion holds

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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.