Evidence map›Paper›PMID 34827014›Full record

ArticleIndian journal of ophthalmology2021

Impact of COVID-19 pandemic on cataract surgical volume: A North Indian experience.

Parul C Gupta, Shruti Aggarwal, Punya Jain, Deepak Jugran, Meenakshi Sharma, Surinder S Pandav, Jagat Ram

Abstract read
In one paragraph

Article in Indian journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Parul C GuptaDepartments of Ophthalmology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Shruti AggarwalCornea and Refractive Surgery, Katzen, Eye Group, Baltimore, MD, USA.
Punya JainMS1 St. George's University, Grenada, West Indies, Grenada.
Deepak JugranDepartments of Ophthalmology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Meenakshi SharmaCommunity Medicine and School of Public Health, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Surinder S PandavDepartments of Ophthalmology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.
Jagat RamDepartments of Ophthalmology, Post Graduate Institute of Medical Education and Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyze the impact of the pandemic on trends in cataract surgical volume in 2020 in a high-volume tertiary care academic center in North India.

methodsThe monthly cataract surgical volume for a large, high-volume, tertiary care academic center in North India was obtained from January 2018 through December 2020. Based on historical trends, we used time-series forecasting, probability sensitivity analysis, and linear regression models to estimate what the expected monthly cataract volume should have been from March 2020 onward.

resultsIn 2020, we expected to perform 7500 cases (assuming historical trends) but performed only 2500 cases (33% of the expected volume). The remaining 5000 cases (67% cases) constituted the "fixed" backlog. Assuming the ramp-up in cataract surgical volume starts in January 2021, results of the Monte Carlo simulation revealed that for our system, it would take on average 5 months (May 2021) under the optimistic scenario and 10 months (October 2021) under the ambivalent scenario to reach pre-pandemic expected surgical volume. There would be a collective backlog of 5500 cases under the optimistic scenario (8.8 months' worth of cases) and a collective backlog of 6900 cases under the ambivalent scenario (11 months' worth of cases).

conclusionAn intuitive approach and out-of-the-box solutions are required by the government and private institutes' collaborative efforts to help mitigate the disruptions caused by the pandemic and lessen the backlog without causing provider burnout.

Indexed as

CataractCOVID-19Elective Surgical ProceduresHumansPandemicsSARS-CoV-2CataractIndiaMonte Carlo simulationsurgery backlogtime-series forecasting

Identifiers

PMID34827014
PMCPMC8837302

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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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 Socratic graph.