Evidence map›Paper›PMID 35676523›Full record

ArticleScientific reports2022

Peripapillary RNFL/vessel density ratio in patients with type2 diabetes without clinical diabetic retinopathy.

Min-Woo Lee, Jong-Wook Lee, Kook-Hyung Lee, Young-Hoon Lee, Jung-Yeul Kim

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Early Retinal Changes Detected Using Optical Coherence Tomography Angiography in Youth with Type 1 Diabetes Mellitus: A Case-Control Study.Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde · 2026
    Article
  3. Observational
  4. Article
  5. Article
  6. OCT Angiography Features in Diabetes Mellitus Type 1 and 2.Diagnostics (Basel, Switzerland) · 2022
    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.

Min-Woo LeeDepartment of Ophthalmology, Konyang University College of Medicine, Daejeon, Republic of Korea.
Jong-Wook LeeDepartment of Ophthalmology, Chungnam National University College of Medicine, #640 Daesa-dong, Jung-gu, Daejeon, 301-721, Republic of Korea.
Kook-Hyung LeeDepartment of Ophthalmology, Konyang University College of Medicine, Daejeon, Republic of Korea.
Young-Hoon LeeDepartment of Ophthalmology, Konyang University College of Medicine, Daejeon, Republic of Korea.
Jung-Yeul KimDepartment of Ophthalmology, Chungnam National University College of Medicine, #640 Daesa-dong, Jung-gu, Daejeon, 301-721, Republic of Korea. kimjy@cnu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify how diabetic retinal neurodegeneration (DRN) and microvascular impairment are affected differently by various factors in type 2 diabetes (T2DM) patients without diabetic retinopathy via the ratio of RNFL thickness/vessel density (RNFL/VD) ratio. In this retrospective cross-sectional study, subjects were divided into two groups: controls (control group) and patients with T2DM (DM group). The RNFL thickness, VD, and RNDL/VD ratio were compared between two groups, and correlation analyses were performed to identify the relationship between the RNFL/VD ratio and various factors. A total of 411 eyes were enrolled: 195 eyes in the control group and 216 eyes in the DM group. The mean RNFL thickness was 95.9 ± 8.6 and 93.7 ± 8.7 μm (P = 0.016), the VD was 18.2 ± 0.7 and 17.6 ± 1.1 mm

Indexed as

Diabetes Mellitus, Type 2Diabetic RetinopathyOptic DiskChild, PreschoolCross-Sectional StudiesHumansNerve FibersRetinal Ganglion CellsRetinal VesselsRetrospective StudiesTomography, Optical Coherence

Identifiers

PMID35676523
PMCPMC9177561

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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.