Evidence map›Paper›PMID 33145449›Full record

ArticleHeliyon2020

Visual contrast sensitivity could be an early marker of diabetic retinopathy.

Subhasish Pramanik, Subhankar Chowdhury, Upasana Ganguly, Anindita Banerjee, Basudev Bhattacharya, Lakshmi Kanta Mondal

Abstract read
In one paragraph

Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
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  5. Article
  6. Article
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  8. How early can we detect diabetic retinopathy? A narrative review of imaging tools for structural assessment of the retina.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Telemedicine Screening for Eye Disorders in Federally Qualified Health Centers: Relationship to Vision-Targeted Health-Related Quality of Life.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2024
    Article
  15. The effect of femtosecond laser-assistedFrontiers in neuroscience · 2024
    Article
  16. Statistical Methods for Best and Worst Eye Measurements.Clinical ophthalmology (Auckland, N.Z.) · 2024
    Article
  17. Visual Dysfunction in Diabetes.Annual review of vision science · 2023
    Review
  18. Article
  19. Article
  20. 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

6 authors.

Subhasish PramanikInstitute of Post Graduate Medical Education and Research (IPGMER), 244 Acharya Jagadish Chandra Bose Road, Kolkata, 700020, India.
Subhankar ChowdhuryInstitute of Post Graduate Medical Education and Research (IPGMER), 244 Acharya Jagadish Chandra Bose Road, Kolkata, 700020, India.
Upasana GangulyInstitute of Post Graduate Medical Education and Research (IPGMER), 244 Acharya Jagadish Chandra Bose Road, Kolkata, 700020, India.
Anindita BanerjeeInstitute of Post Graduate Medical Education and Research (IPGMER), 244 Acharya Jagadish Chandra Bose Road, Kolkata, 700020, India.
Basudev BhattacharyaInstitute of Post Graduate Medical Education and Research (IPGMER), 244 Acharya Jagadish Chandra Bose Road, Kolkata, 700020, India.
Lakshmi Kanta MondalRegional Institute of Ophthalmology (RIO), Medical College and Hospital, Kolkata, 700073, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to explore the early predictive marker of diabetic retinopathy (DR) and to elucidate the associated demographic, metabolic, and ocular factors. We enrolled 43 type 2 diabetic subjects with mild non-proliferative retinopathy (MNPDR), 30 diabetic subjects with no retinopathy (DNR), and 35 healthy controls (HC). The study groups showed no significant alteration in central macular thickness (CMT) and visual acuity (VA). The contrast sensitivity (CS) score was found to be significantly lower among DNR and MNPDR subjects compared to HCs (p < 0.0001). Between MNPDR and DNR subjects, the CS score was significantly lower in the former (p = 0.0036). CS score discriminated DNR subjects from HC, with 74% accuracy for the optimal threshold 0.71. The associated area under the ROC curve (AUC) is 0.82 (p < 0.0001) while the discrimination rule has 66% sensitivity and 80% specificity. The CS score also discriminated MNPDR subjects from DNR with 64% accuracy for the optimal threshold 0.53. The associated AUC is 0.65 (p < 0.023) and the rule has 86% sensitivity and 33% specificity. According to best subset regression analysis, not only glycaemic parameters but also lipid parameters [low-density lipoprotein cholesterol (LDL-C) (p = 0.045) and triglycerides (TG) (p = 0.0005)] were found to be significant predictors of CS. CMT (p = 0.058) was another marginally significant predictor of CS. CS may be used as an early predictive marker for DR. So, not only hyperglycemia, but also hyperlipidemia seems to significantly affect retinal CS function in diabetes.

Indexed as

Central macular thicknessContrast sensitivityDiabetic retinopathyHyperlipidemiaOphthalmologyVisual acuity

Identifiers

PMID33145449
PMCPMC7591734

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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.