Evidence map›Paper›PMID 42260073›Full record

ArticleScientific reports2026

Comparison of ocular biometrics between diabetic and non-diabetic adults: a population-based study.

Elham Angouraj Taghavi, Mohammad Hassan Emamian, Hassan Hashemi, Akbar Fotouhi

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Elham Angouraj TaghaviStudent of Research Committee, School of Medicine, Shahroud University of Medical Sciences, Shahroud, Iran.
Mohammad Hassan EmamianOphthalmic Epidemiology Research Center, Shahroud University of Medical Sciences, Shahroud, Iran. emamian@shmu.ac.ir.
Hassan HashemiNoor Ophthalmology Research Center, Noor Eye Hospital, Tehran, Iran.
Akbar FotouhiDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

Shahroud University of Medical Sciences 8737 and 9826
6 · The paper itself

Abstract

This study aimed to compare ocular biometrics between diabetic and non-diabetic individuals. Understanding these biometric differences may inform cataract surgery planning and glaucoma risk assessment in diabetic patients. Participants were drawn from the second phase of the Shahroud Eye Cohort Study. Diabetes mellitus was diagnosed based on fasting blood sugar (FBS) levels of ≥ 6.99 mmol/L, HbA1c levels of ≥ 6.5%, or the use of hypoglycemic medications. Ocular biometrics were recorded using a Lenstar optical biometer. Differences in ocular biometrics between participants with and without diabetes were analyzed using t-tests and linear regression models. Among the 4452 participants, aged 45-69 years. Axial Length (AL) (Mean Difference (MD) = - 0.09 mm, 95% CI - 0.16 to -0.03), Corneal Diameter (CD) (MD = - 0.10 mm, 95% CI - 0.13 to - 0.07), Aqueous depth (AD) (MD = - 0.03 mm, 95% CI - 0.06 to - 0.01), were higher in non-diabetics, while central corneal thickness (CCT) (MD = 5.90 μm, 95% CI 3.70 to 8.10), and lens thickness (LT) (MD = 0.06 mm, 95% CI 0.03 to 0.08) were thicker in diabetics. In the multiple linear regression model, AL, AD, and CD were negatively associated with diabetes, while LT and CCT was positively associated with diabetes. In conclusion, among ocular biometrics, diabetic individuals had thicker lens and central corneas, while AL, AD, and CD were lower. Other ocular biometrics did not differ significantly in diabetics than non-diabetics. While the observed differences are statistically significant, their clinical relevance is minimal due to small effect sizes.

Indexed as

BiometryDiabetes MellitusEyeAgedBlood GlucoseCorneaFemaleGlaucomaGlycated HemoglobinHumansMaleMiddle AgedBlood GlucoseGlycated HemoglobinAxial lengthBiometryDiabetesIranPopulation-based study

Identifiers

PMID42260073
PMCPMC13486716

What Socratic holds

Textmetadata
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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.