Evidence map›Paper›PMID 35011061›Full record

Observational studyNutrients2021

DXA-Derived Indices in the Characterisation of Sarcopenia.

Natascha Schweighofer, Caterina Colantonio, Christoph W Haudum, Barbara Hutz, Ewald Kolesnik, Ines Mursic, Stefan Pilz, Albrecht Schmidt, Vanessa Stadlbauer, Andreas Zirlik and 3 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

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  13. Effect of fermented oyster (Frontiers in nutrition · 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

13 authors at 1 institution in 1 country.

Natascha SchweighoferDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8036 Graz, Austria.
Caterina ColantonioDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, 8036 Graz, Austria.
Christoph W HaudumDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8036 Graz, Austria.ORCID 0000-0002-3872-5643
Barbara HutzDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8036 Graz, Austria.
Ewald KolesnikDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, 8036 Graz, Austria.
Ines MursicDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8036 Graz, Austria.
Stefan PilzDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8036 Graz, Austria.
Albrecht SchmidtDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, 8036 Graz, Austria.
Vanessa StadlbauerCBmed, Center for Biomarker Research in Medicine, 8010 Graz, Austria.ORCID 0000-0001-5508-8271
Andreas ZirlikDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, 8036 Graz, Austria.
Thomas R PieberDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8036 Graz, Austria.ORCID 0000-0003-3554-0405
Nicolas VerheyenDepartment of Internal Medicine, Division of Cardiology, Medical University of Graz, 8036 Graz, Austria.
Barbara Obermayer-PietschDepartment of Internal Medicine, Division of Endocrinology and Diabetology, Medical University of Graz, 8036 Graz, Austria.ORCID 0000-0003-3543-1807
Medical University of Graz · AT

Funding

Austrian Science Fund FWF KLI 741
6 · The paper itself

Abstract

Sarcopenia is linked with increased risk of falls, osteoporosis and mortality. No consensus exists about a gold standard "dual-energy X-ray absorptiometry (DXA) index for muscle mass determination" in sarcopenia diagnosis. Thus, many indices exist, but data on sarcopenia diagnosis agreement are scarce. Regarding sarcopenia diagnosis reliability, the impact of influencing factors on sarcopenia prevalence, diagnosis agreement and reliability are almost completely missing. For nine DXA-derived muscle mass indices, we aimed to evaluate sarcopenia prevalence, diagnosis agreement and diagnosis reliability, and investigate the effects of underlying parameters, presence or type of adjustment and cut-off values on all three outcomes. The indices were analysed in the BioPersMed cohort (58 ± 9 years), including 1022 asymptomatic subjects at moderate cardiovascular risk. DXA data from 792 baselines and 684 follow-up measurements (for diagnosis agreement and reliability determination) were available. Depending on the index and cut-off values, sarcopenia prevalence varied from 0.6 to 36.3%. Height-adjusted parameters, independent of underlying parameters, showed a relatively high level of diagnosis agreement, whereas unadjusted and adjusted indices showed low diagnosis agreement. The adjustment type defines which individuals are recognised as sarcopenic in terms of BMI and sex. The investigated indices showed comparable diagnosis reliability in follow-up examinations.

Indexed as

Absorptiometry, PhotonAgedBody CompositionBody HeightBody WeightHumansMiddle AgedMuscle, SkeletalProspective StudiesReference ValuesReproducibility of ResultsSarcopeniaBioPersMed cohortDXADXA-derived muscle mass indices

Identifiers

PMID35011061
PMCPMC8747660
OpenAlexW4206350527

What OpenQuestion holds

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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.