Evidence map›Paper›PMID 35086483›Full record

ArticleEuropean review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity2022

Should knee extension strength testing be implemented as a screening test for identifying probable and confirmed sarcopenia in older T2DM patients?

Ofer Kis, Assaf Buch, Roy Eldor, Amir Rubin, Ayelet Dunsky, Naftali Stern, Daniel S Moran

Registry-linked trialAbstract read
In one paragraph

Article in European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It reports registered trial NCT03560375. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT03560375 phase4completed

The Effect of a Circuit Resistance Training, Empagliflozin or "Vegeterranean Diet" on Physical and Metabolic Function in Elderly Subjects With Type 2 Diabetes: a Study Protocol for a Randomized Control Trial (CEV-65 Trial)

Ran2018Enrolled100Registered outcomes5Posted comparisons0ConditionsDiabetes Mellitus, Type 2, Sarcopenia, Weight LossArmsCircuit resistance training (CRT), empagliflozin 10 mg, Vegeterranean diet (V-Med diet)
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3 · Its place in the literature

Who cites it

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

  1. 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

7 authors.

Ofer KisThe Faculty of Health Sciences, Ariel University, Ariel, Israel. oferkis58@gmail.com.
Assaf BuchInstitute of Endocrinology, Metabolism and Hypertension, Tel Aviv Sourasky Medical Center, 6 Weizmann St, 64239, Tel-Aviv, Israel.ORCID http://orcid.org/0000-0002-4412-6532
Roy EldorInstitute of Endocrinology, Metabolism and Hypertension, Tel Aviv Sourasky Medical Center, 6 Weizmann St, 64239, Tel-Aviv, Israel.
Amir RubinThe Academic College at Wingate, Wingate Institute, Netanya, Israel.
Ayelet DunskyThe Academic College at Wingate, Wingate Institute, Netanya, Israel.
Naftali SternThe Sagol Center for Epigenetics of Metabolism and Aging, Tel Aviv Sourasky Medical Center, Tel-Aviv, Israel.
Daniel S MoranThe Faculty of Health Sciences, Ariel University, Ariel, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe accelerated loss of muscle strength and mass observed in older type 2 diabetes mellitus (T2DM) patients due to the combined effects of diabetes and obesity, greatly increases their risk for sarcopenia. Early detection and treatment of probable and confirmed sarcopenia is paramount to delay mobility disability. Using low handgrip strength cut-off points for the initial identification of sarcopenia according to the new European Working Group on Sarcopenia in Older People (EWGSOP2) guidelines may mask the presence of sarcopenia. Relative knee extension strength cut-off points using a simple hand-held dynamometer can assist clinicians in the diagnosis of probable and confirmed sarcopenia by possibly reducing false negative results.

methodsA cohort of one hundred T2DM older patients (60% women) (mean age 74.5 years) mostly obese community dwelling older adults were evaluated for body composition by Bioelectrical impedance analysis (BIA), yielding appendicular skeletal mass index (ASMI) results. Patients underwent handgrip strength (HGS) and knee extension strength (KES) tests as well as functional ability tests. Prevalence of probable and confirmed sarcopenia using HGS and KES cut-off points were calculated. Pearson correlations were performed to evaluate the relationship between ASMI and limbs strength. A regression analysis was conducted to examine which variables best predict ASMI values. A multivariate analysis of covariance was performed to assess the effect of independent variables on KES and HGS.

resultsUsing cutoff points for low KES identified 24 patients with probable sarcopenia and two with confirmed sarcopenia. Conversely, using the EWGSOP2 cut off points for low HGS, identified only one patient with probable sarcopenia and none of the patients with confirmed sarcopenia.

conclusionKES cut-off points using a simple hand-held dynamometer can assist in the identification of probable and confirmed sarcopenia using EWGSOP2 cut off points for low muscle mass in a population of older T2DM patients for further analysis and early treatment. This is notably true in patients possessing high body mass index (BMI) alongside normal ASMI and HGS, potentially reducing false positive sarcopenia screening results.

trial registrationClinicalTrials.gov PRS: NCT03560375 . Last registration date (last update): 06/06/2018. The trial was a-priori registered before actual recruitment of subjects.

Indexed as

Appendicular skeletal mass indexHandgrip strengthKnee extension strengthOlder adultsSarcopeniaType 2 diabetes

Identifiers

PMID35086483
PMCPMC8903495

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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.