Evidence map›Paper›PMID 34873499›Full record

ArticleCureus2021

Effect of COVID-19 Pandemic on Presentation of Patients With Diabetic Retinopathy in a Multitier Ophthalmology Network in India.

Anthony V Das, Raja Narayanan, Padmaja K Rani

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 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
1.5field-weighted citation impact, top 18% 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, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

3 authors at 1 institution in 1 country.

Anthony V DasDepartment of eyeSmart Electronic Medical Record (EMR) and AEye, L. V. Prasad Eye Institute, Hyderabad, IND.
Raja NarayananDepartment of Vitreoretinal Diseases, L. V. Prasad Eye Institute, Hyderabad, IND.
Padmaja K RaniDepartment of Vitreoretinal Diseases/Tele-Ophthalmology, L. V. Prasad Eye Institute, Hyderabad, IND.
L V Prasad Eye Institute · IN

Funding

DBT-Wellcome Trust India Alliance IA/CRC/19/1/610010
6 · The paper itself

Abstract

objectiveThis study aimed to describe the demographics and clinical profile of patients with diabetic retinopathy (DR) presenting during the novel coronavirus disease 2019 (COVID-19) lockdown and unlock phases in India.

methodsThis hospital-based cross-sectional study included patients presenting from March 25, 2019, to March 31, 2021. All patients who presented with DR were included as cases. The data were collected using an electronic medical record system.

resultsIn total, 88,012 patients diagnosed with retinal diseases were presented to the network and included for analysis. There were 21,271 (24%) DR patients during the study period and the majority were men (71%) from the urban area (45%). An increasing number of patients with proliferative DR (56%), sight-threatening DR (79%), need for vitreoretinal procedures (31%), and intravitreal injections (19%) were seen during the lockdown (phase one-four). There was a significant increase in the number of patients with blindness in pre-lockdown (20%), lockdown (32%), and post-lockdown (26%). Patterns of sight-threatening DR and blindness were similar in both fresh and follow-up patients.

conclusionThe presentation of DR patients in hospital is evolving because of the COVID-19 pandemic. The footfalls of patients during the unlock (phase 1-10) regained to two-thirds of the pre-COVID-19 level. There was an increase in patients with sight-threatening DR and the need for vitreoretinal surgery and intravitreal injections during the lockdown (phase 1-4).

Indexed as

big datacovid-19 pandemicdiabetic retinopathyemrindia

Identifiers

PMID34873499
PMCPMC8631499
OpenAlexW3209331578

What OpenQuestion holds

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LicenceCC BY
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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.