Evidence map›Paper›PMID 39816052›Full record

ArticleNarra J2024

HOMA-IR value in predicting retinal microvascular dysfunction.

Seskoati Prayitnaningsih, Kristina Yuniasih, Intan Kautsarani, Aulia A Hamid, Agustin Iskandar

Abstract read
In one paragraph

Article in Narra J, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Seskoati PrayitnaningsihDepartment of Ophthalmology, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.
Kristina YuniasihDepartment of Ophthalmology, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.
Intan KautsaraniDepartment of Ophthalmology, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.
Aulia A HamidDepartment of Ophthalmology, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.
Agustin IskandarDepartment of Clinical Pathology, Faculty of Medicine, Universitas Brawijaya, Malang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and retinal microvasculature dysfunction are linked and impact visual acuity. The aim of this study was to determine the relationship between the HOMA-IR score and the presence of vascular dysfunction (capillary perfusion and flux index) of the optic nerve head (ONH) of the retina in obese patients and to determine its diagnostic performance to predict vascular dysfunction. A case-control study was conducted in 2022 involving individuals from obese and non-obese groups. Insulin resistance was measured using the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) score using the levels of insulin and fasting glucose. Optical coherence tomography angiography (OCT-A) was performed to evaluate the flux index and capillary perfusion of ONH. The correlation between HOMA-IR, flux index, and capillary perfusion was assessed using Pearson's correlation, and the diagnostic performance of HOMA-IR, including sensitivity, specificity, and the area under the curve (AUC), was measured. Logistic regression was used to identify the association between the HOMA-IR cutoff score with the presence of retinal microvascular dysfunction. A total of 80 individuals were included from each obese and non-obese group. The HOMA-IR score showed significant negative correlations with the perfusion of the superior (

Indexed as

Insulin ResistanceMicrovesselsObesityRetinal DiseasesRetinal VesselsAdultCase-Control StudiesFemaleHumansMaleMiddle AgedOptic DiskTomography, Optical Coherencebiomarkercapillary perfusionflux indexHOMA-IRinsulin resistance

Identifiers

PMID39816052
PMCPMC11731811

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.