Evidence map›Paper›PMID 38089605›Full record

SynthesisFrontiers in endocrinology2023

Association between the homeostasis model assessment of insulin resistance and coronary artery calcification: a meta-analysis of observational studies.

Longti Li, Huiqin Zhong, Ya Shao, Yu Hua, Xu Zhou, Desheng Luo

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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.

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

9 citing papers in PubMed, 2 syntheses or guidelines 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

6 authors.

Longti Li *Department of Nursing, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.
Huiqin Zhong *Innovation Centre of Nursing Research, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.
Ya ShaoHealth Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.
Yu HuaHealth Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.
Xu ZhouHealth Management Center, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.
Desheng LuoDepartment of Nursing, TaiHe Hospital, Hubei University of Medicine, Shiyan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Insulin resistance (IR), a risk factor for cardiovascular diseases, has garnered significant attention in scientific research. Several studies have investigated the correlation between IR and coronary artery calcification (CAC), yielding varying results. In light of this, we conducted a systematic review to investigate the association between IR as evaluated by the homeostasis model assessment (HOMA-IR) and CAC. Methods: A comprehensive search was conducted to identify relevant studies in PubMed, Embase, Scopus, and Web of Science databases. In addition, preprint servers such as Research Square, BioRxiv, and MedRxiv were manually searched. The collected data were analyzed using either fixed or random effects models, depending on the heterogeneity observed among the studies. The assessment of the body of evidence was performed using the GRADE approach to determine its quality. Results: The current research incorporated 15 studies with 60,649 subjects. The analysis revealed that a higher category of HOMA-IR was associated with a greater prevalence of CAC in comparison to the lowest HOMA-IR category, with an OR of 1.13 (95% CI: 1.06-1.20, I Conclusion: There is evidence to suggest that a relatively high HOMA-IR may be linked with an increased prevalence and progression of CAC.

Indexed as

Coronary Artery DiseaseHyperinsulinismInsulin ResistanceHomeostasisHumansRisk FactorsCACcoronary artery calcificationHOMA-IRhomeostasis model assessmentinsulin resistancemeta-analysis

Identifiers

PMID38089605
PMCPMC10711676

What OpenQuestion holds

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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.