Evidence map›Paper›PMID 36267222›Full record

ArticleOrthopedic reviews2022

Osteosarcopenia and type 2 diabetes mellitus in post-menopausal women: a case-control study.

Antimo Moretti, Angela Palomba, Francesca Gimigliano, Marco Paoletta, Sara Liguori, Francesco Zanfardino, Giuseppe Toro, Giovanni Iolascon

Open access · goldAbstract read
In one paragraph

Article in Orthopedic reviews, 2022. 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
1.3field-weighted citation impact, top 20% 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, 11 citations in OpenAlex.

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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

8 authors.

Antimo Moretti
Angela Palomba
Francesca Gimigliano
Marco Paoletta
Sara Liguori
Francesco Zanfardino
Giuseppe Toro
Giovanni Iolascon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteosarcopenia has been defined as the concomitance of low bone density (osteopenia/osteoporosis) and sarcopenia. Osteoporosis is characterized by alterations in bone microarchitecture and decrease of bone mineral density (BMD), whereas sarcopenia is the progressive decrease of both muscle mass and function that increase the risk of falls. Type 2 diabetes mellitus (T2DM) is associated with poor bone strength and muscle wasting. Objective: The aim of this study is to analyze the association between osteosarcopenia and T2DM in post-menopausal women (PMW). Methods: We performed an age matched case-control study (1:2 ratio), considering as cases PMW affected by T2DM, and PMW without T2DM as control group. For all patients a DXA evaluation to investigate bone density and body composition measures were performed. Moreover, we carried out muscle strength and performance assessments. Outcome measures were femoral neck and lumbar spine BMD T-scores, appendicular lean mass (ALM), handgrip strength and the Short Physical Performance Battery (SPPB). Data from both groups were analyzed and compared. Results: Thirty-six PMW (12 T2DM vs 24 non-T2DM) were recruited. The frequency of osteosarcopenia was significantly higher in the T2DM group compared to controls (50% vs 17%; OR 5.0, 95% CI 1.05 to 23.79, p = 0.043). Handgrip strength was significantly lower in the T2DM group (10.09 ± 4.02 kg vs 18.40 ± 6.83 kg; p = 0.001). Conclusions: Post-menopausal women with T2DM have a 5 times higher risk to have osteosarcopenia compared to non-diabetic ones. Further studies on larger cohorts are required to confirm these findings.

Indexed as

diabetes mellitusosteoporosisosteosarcopeniasarcopenia

Identifiers

PMID36267222
PMCPMC9568414
OpenAlexW4304806526

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.