Evidence map›Paper›PMID 34511917›Full record

ArticleTherapeutics and clinical risk management2021

Association Analysis of Insulin Resistance and Osteoporosis Risk in Chinese Patients with T2DM.

Xinshui Wang, Lijuan Jiang, Xiaonan Shao

Open access · goldAbstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 29 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

3 authors at 1 institution in 1 country.

Xinshui WangDepartment of Endocrinology, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People's Republic of China.
Lijuan JiangDepartment of Clinical Laboratory, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People's Republic of China.
Xiaonan ShaoDepartment of Nuclear Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, People's Republic of China.ORCID 0000-0002-5697-9225
Soochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo explore the relationship between insulin resistance and osteoporosis risk in Chinese patients with type 2 diabetes mellitus (T2DM).

methodsA total of 234 T2DM patients were retrospectively analyzed, and their lumbar bone mineral density (BMD) and insulin resistance using C-peptide-based homeostasis model of insulin resistance [HOMA-IR (CP)] were assessed. Univariate and multivariable logistic regression methods were used to evaluate the association between HOMA-IR (CP) and osteoporosis, and subgroup analysis was performed on female and male patients.

resultsAfter fully adjusting the covariates, the association between HOMA-IR (CP) and osteoporosis was only significant in female patients (P = 0.022); the interaction effect with gender was significant (P for interaction <0.05). Curve fitting showed that the relationship between HOMA-IR (CP) and osteoporosis in women was nonlinear. When HOMA-IR (CP) is <4.00, its effect on osteoporosis was not significant (P = 0.474); when HOMA-IR (CP) is >4.00, the risk of osteoporosis increased significantly, with OR = 26.88 (95% CI: 2.75-262.69, P = 0.005). The relationship between insulin resistance and osteoporosis risk in T2DM patients is significantly affected by gender.

conclusionThe higher the degree of insulin resistance in female patients, the greater the risk of osteoporosis, but the two are not linearly associated.

Indexed as

bone mineral densityhomeostasis model assessment for insulin resistanceinsulin resistanceosteoporosistype 2 diabetes mellitus

Identifiers

PMID34511917
PMCPMC8418372
OpenAlexW3197058538

What Socratic 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 Socratic graph.