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ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2021

Intracystic hyperreflective material in centre-involving diabetic macular oedema.

Ramesh Venkatesh, Sajjan Sangai, Nikitha Gurram Reddy, Akhila Sridharan, Arpitha Pereira, Aditya Aseem, Santosh Gopi Krishna Gadde, Naresh Kumar Yadav, Jay Chhablani

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In one paragraph

Article in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2021. 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
0.7field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Observational
  6. Diabetic Retinopathy and Diabetic Macular Edema in People With Early-Onset Diabetes.Clinical diabetes : a publication of the American Diabetes Association · 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

9 authors at 2 institutions in 2 countries.

Ramesh VenkateshDepartment of Retina and Vitreous, Narayana Nethralaya, #121/C, 1st R Block, Chord Road, Rajaji Nagar, Bengaluru, Karnataka, 560010, India. vramesh80@yahoo.com.ORCID http://orcid.org/0000-0002-4479-9390
Sajjan SangaiDepartment of Retina and Vitreous, Narayana Nethralaya, #121/C, 1st R Block, Chord Road, Rajaji Nagar, Bengaluru, Karnataka, 560010, India.
Nikitha Gurram ReddyDepartment of Retina and Vitreous, Narayana Nethralaya, #121/C, 1st R Block, Chord Road, Rajaji Nagar, Bengaluru, Karnataka, 560010, India.
Akhila SridharanDepartment of Retina and Vitreous, Narayana Nethralaya, #121/C, 1st R Block, Chord Road, Rajaji Nagar, Bengaluru, Karnataka, 560010, India.
Arpitha PereiraDepartment of Retina and Vitreous, Narayana Nethralaya, #121/C, 1st R Block, Chord Road, Rajaji Nagar, Bengaluru, Karnataka, 560010, India.
Aditya AseemDepartment of Retina and Vitreous, Narayana Nethralaya, #121/C, 1st R Block, Chord Road, Rajaji Nagar, Bengaluru, Karnataka, 560010, India.
Santosh Gopi Krishna GaddeDepartment of Retina and Vitreous, Narayana Nethralaya, #121/C, 1st R Block, Chord Road, Rajaji Nagar, Bengaluru, Karnataka, 560010, India.
Naresh Kumar YadavDepartment of Retina and Vitreous, Narayana Nethralaya, #121/C, 1st R Block, Chord Road, Rajaji Nagar, Bengaluru, Karnataka, 560010, India.
Jay ChhablaniMedical Retina and Vitreoretinal Surgery, University of Pittsburgh School of Medicine, 203 Lothrop Street, Suite 800, Pittsburgh, PA, 15213, USA.
Narayana Nethralaya · INUniversity of Pittsburgh · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo report evolution and predictive value of intracystic hyperreflective material (ICHRM) on optical coherence tomography (OCT) in centre-involving diabetic macular oedema (CI-DME).

methodsDemographic and OCT features of patients with treatment-naïve CI-DME were analysed retrospectively. OCT parameters noted were macular oedema type, ICHRM presence, presence of hyperreflective spots, disorganised inner retinal layers and outer retinal layers integrity. Eyes were grouped into group 1 CI-DME without ICHRM and group 2 CI-DME with ICHRM. Univariate and multivariate linear regression analyses were done to study the correlation between various OCT features and final vision.

resultsIn this study, 62 eyes of 50 patients were included in group 1 and 61 eyes of 51 patients in group 2. Mean presenting logMAR vision in groups 1 and 2 was 0.374 ± 0.346 and 0.523 ± 0.369 respectively. Poor final visual acuity was noted in CI-DME with ICHRM group (p = 0.015). On linear regression analysis, 3 OCT features, namely, ICHRM presence (p = 0.034), inner segment-outer segment layer disruption (p = 0.001) and ellipsoid zone defects (p = 0.003), were associated with poor final vision. More intravitreal anti-VEGF (2.98 vs 0.629) and steroid (1.51 vs 0.242) injections were required for macular oedema resolution in ICHRM group.

conclusionThis study is the first to assess the ICHRM on OCT as predictor for treatment outcome in DME eyes. We described its evolution during the DME management and its plausible influence on intravitreal therapy. We believe that this finding has the potential to become a novel biomarker for predicting the visual outcome in DME.

Indexed as

Diabetes MellitusDiabetic RetinopathyMacular EdemaHumansIntravitreal InjectionsRetrospective StudiesTomography, Optical CoherenceVisual AcuityDiabetic macular oedemaDiabetic retinopathyHyperreflective materialIntraretinalIntravitreal anti-VEGFIntravitreal steroidsSubretinalVisual outcomes

Identifiers

PMID33710472
OpenAlexW3135349859

What OpenQuestion holds

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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.