Evidence map›Paper›PMID 37026278›Full record

ArticleIndian journal of ophthalmology2023

A study on correlation of computer vision syndrome and dry eye disease and knowledge regarding its associated factors amongst health professionals.

Haji Patel, Rashmi Jain, M Atul Kamath, Anupama Bappal

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Review
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Haji PatelDepartment of Ophthalmology, Yenepoya Medical College Hospital, University Road, Yenepoya University Campus, Deralakatte, Mangalore, Karnataka, India.
Rashmi JainDepartment of Ophthalmology, Yenepoya Medical College Hospital, University Road, Yenepoya University Campus, Deralakatte, Mangalore, Karnataka, India.
M Atul KamathDepartment of Ophthalmology, Yenepoya Medical College Hospital, University Road, Yenepoya University Campus, Deralakatte, Mangalore, Karnataka, India.
Anupama BappalDepartment of Ophthalmology, Yenepoya Medical College Hospital, University Road, Yenepoya University Campus, Deralakatte, Mangalore, Karnataka, India.
Creative Commons · USYenepoya University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To know the magnitude and determinants of dry eye syndrome among health professionals and to study the correlation of computer vision syndrome with dry eye disease. Methods: In total, 501 participants took part in the study, which included history followed by baseline ocular examination, which included visual acuity using Snellen's chart and anterior segment examination using a slit lamp. Later, a questionnaire was administered to health professionals to be filled out for analysis in the present study. Results: The symptoms reported occasionally were burning (35.5%), itching (34.5%), foreign body sensation 22.6%, and tearing (35.3%). The majority of participants used mobiles and laptops (56.1%) as a display. Also, 53.3% of participants have heard about dry eye syndrome, and the source of information was from friends and doctors in 17% of participants. One hundred twenty-one participants (24.2%) had taken the consultation for ocular symptoms. Eighty-six participants had mild, 29 participants had moderate, and 6 participants had severe dry eye disease, respectively. Conclusion: The pandemic effect, and the drastic shift of educational media from the classroom to the digital platform have increased the use of mobiles, laptops, or other digital pads for learning. This has increased the risk for health professionals.

Indexed as

Dry Eye SyndromesComputersHumansSurveys and QuestionnairesTearsVisual AcuityDigital eye straindigital gadgetsdry eye diseasemedical professionalsocular surface disorder

Identifiers

PMID37026278
PMCPMC10276747
OpenAlexW4362692266

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.