Evidence map›Paper›PMID 35307621›Full record

ArticleThe Eurasian journal of medicine2022

Retinal Nerve Fiber Layer Thickness in Prediabetic Patients.

Arzu Bilen, Orhan Ates, Osman Ondas, Habib Bilen, Ilyas Capoglu

Open access · diamondAbstract read
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Article in The Eurasian journal of medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
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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

5 authors at 1 institution in 1 country.

Arzu BilenDepartment of Internal Medicine, University of Ataturk School of Medicine, Erzurum, Turkey.
Orhan AtesDepartment of Ophtalmology, University of Ataturk School of Medicine, Erzurum, Turkey.
Osman OndasDepartment of Ophtalmology, University of Ataturk School of Medicine, Erzurum, Turkey.
Habib BilenDepartment of Internal Medicine, Division of Endocrinology and Metabolism, University of Ataturk School of Medicine, Erzurum, Turkey.
Ilyas CapogluDepartment of Internal Medicine, Division of Endocrinology and Metabolism, University of Ataturk School of Medicine, Erzurum, Turkey.
Atatürk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDiabetic retinopathy is a leading cause of blindness. Diabetic retinopathy is not only seen in diabetic patients with the clinical diagnosis but also in prediabetic patients. The aim of this study is to evaluate the RNFL thickness in prediabetic patients. MATERIALS AND

methodsIn this study, 50 prediabetic patients and 50 healthy individuals were included. RNFL measurements were performed with SD-OCT in patients with prediabetes and healthy controls.

resultsThe mean RNFL thickness for the prediabetic group was 94.7 ± 6.3 μm, inferior quadrant (120 ± 11.6), superior quadrant (112.3 ± 14.13), nasal quadrant (71 ± 12.9), and temporal quadrant (65.3 ± 9.2 μm). The mean RNFL thickness for the control group was 98.9 ± 7.5 μm, inferior quadrant (128 ± 14.7), superior quadrant (116.3 ± 15.12), nasal quadrant (77 ± 15.8), and temporal quadrant (71.2 ± 10.3 μm). Variance analysis demonstrated that the RNFL thickness difference between the groups was significant in all quadrants (P < .001).

conclusionRNLF thinning can be seen in prediabetic patients before obvious vascular damage has occurred, and it may present in prediabetic patients not only in the temporal quadrant but also in all quadrants. The early retinal neural changes shown in this study in prediabetic patients may help to better understand the process leading to diabetic overt retinopathy.

Identifiers

PMID35307621
PMCPMC9634872
OpenAlexW4220878023

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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.