Evidence map›Paper›PMID 32570825›Full record

ArticleNutrients2020

Comparison between Appendicular Skeletal Muscle Index DXA Defined by EWGSOP1 and 2 versus BIA Tengvall Criteria among Older People Admitted to the Post-Acute Geriatric Care Unit in Italy.

Sawsan Hilal, Simone Perna, Clara Gasparri, Tariq A Alalwan, Viviana Vecchio, Federica Fossari, Gabriella Peroni, Antonella Riva, Giovanna Petrangolini, Mariangela Rondanelli

Abstract readComparative Study
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Impact of Vitamin B12 Insufficiency on Sarcopenia in Community-Dwelling Older Korean Adults.International journal of environmental research and public health · 2021
    Article
  6. 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

10 authors.

Sawsan HilalDepartment of Mathematics, College of Science, University of Bahrain, Sakhir Campus, P.O. Box 32038 Zallaq, Bahrain.
Simone PernaDepartment of Biology, College of Science, University of Bahrain, Sakhir Campus, P.O. Box 32038 Zallaq, Bahrain.
Clara GasparriEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-1088-6648
Tariq A AlalwanDepartment of Biology, College of Science, University of Bahrain, Sakhir Campus, P.O. Box 32038 Zallaq, Bahrain.ORCID 0000-0002-7693-4542
Viviana VecchioEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.
Federica FossariEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.
Gabriella PeroniEndocrinology and Nutrition Unit, Azienda di Servizi alla Persona ''Istituto Santa Margherita'', University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-1632-1787
Antonella RivaResearch and Development Unit, Indena, 20139 Milan, Italy.ORCID 0000-0003-2819-943X
Giovanna PetrangoliniResearch and Development Unit, Indena, 20139 Milan, Italy.ORCID 0000-0001-6681-7329
Mariangela RondanelliIRCCS Mondino Foundation, 27100 Pavia, Italy.ORCID 0000-0001-8336-4851

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to assess the agreement between the appendicular skeletal muscle index (ASMI) and dual-energy X-ray absorptiometry (DXA) using a single frequency bioelectrical impedance analysis (BIA) to assess criteria. Moreover, we used the European working group on sarcopenia in older people 1 (EWGSOP1), EWGSOP2, and the Tengvall equation to estimate a low prevalence in ASMI (under the cutoff criteria). We examined a sample of 765 elderly individuals (27.8% male and 72.2% female, aged 82 ± 8.2 years). Based on the cutoff identified by Tengvall, EWGSOP1, and EWGSOP2, the results showed that the prevalence of low ASMI in females was 10.1%, 11.4%, and 9.2%, respectively, and 98.1%, 30.5%, and 23.5% in males, respectively. Moreover, low ASMI prevalence under each diagnostic criterion and body mass index (BMI) was calculated. For BMI < 25 kg/m

Indexed as

Electric ImpedanceAbsorptiometry, PhotonAgedAged, 80 and overCross-Sectional StudiesEuropeFemaleGeriatric AssessmentHospitalizationHumansItalyMaleMuscle, SkeletalPrevalenceSarcopeniaSex Factorsappendicular skeletal muscleappendicular skeletal muscle indexelderlyprevalencesarcopenia

Identifiers

PMID32570825
PMCPMC7353304

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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.