Evidence map›Paper›PMID 34945810›Full record

ArticleJournal of personalized medicine2021

Correlation of Volume of Macular Edema with Retinal Tomography Features in Diabetic Retinopathy Eyes.

Santosh Gopi Krishna Gadde, Arpita Kshirsagar, Neha Anegondi, Thirumalesh B Mochi, Stephane Heymans, Arkasubhra Ghosh, Abhijit Sinha Roy

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Central retinal volume derived from optical coherence tomography as a potential predictor of mortality in the old-aged population- results from the German AugUR study.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Article
  3. Observational
  4. Age-Related Macular Degeneration and Diabetic Retinopathy.Journal of personalized medicine · 2022
    Article
  5. 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

7 authors at 2 institutions in 3 countries.

Santosh Gopi Krishna GaddeDepartment of Retina, Narayana Nethralaya Eye Hospital, Bangalore 560099, India.
Arpita KshirsagarImaging, Biomechanics and Mathematical Modelling Solutions Lab, Narayana Nethralaya Foundation, Bangalore 560099, India.
Neha AnegondiImaging, Biomechanics and Mathematical Modelling Solutions Lab, Narayana Nethralaya Foundation, Bangalore 560099, India.
Thirumalesh B MochiDepartment of Retina, Narayana Nethralaya Eye Hospital, Bangalore 560099, India.
Stephane HeymansDepartment of Cardiology, CARIM School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.
Arkasubhra GhoshGROW Research Laboratory, Narayana Nethralaya Foundation, Bangalore 560099, India.ORCID 0000-0002-6570-5891
Abhijit Sinha RoyImaging, Biomechanics and Mathematical Modelling Solutions Lab, Narayana Nethralaya Foundation, Bangalore 560099, India.
Narayana Nethralaya · INMaastricht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence tomography (OCT) enables the detection of macular edema, a significant pathological outcome of diabetic retinopathy (DR). The aim of the study was to correlate edema volume with the severity of diabetic retinopathy and response to treatment with intravitreal injections (compared to baseline). Diabetic retinopathy (DR;

Indexed as

diabetic retinopathyedemaOCTretinatomography

Identifiers

PMID34945810
PMCPMC8708057
OpenAlexW4200087928

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.