Evidence map›Paper›PMID 36308146›Full record

ArticleIndian journal of ophthalmology2022

Assessment of a high-fidelity, virtual reality-based, manual small-incision cataract surgery simulator: A face and content validity study.

Akshay Gopinathan Nair, Chetan Ahiwalay, Ashish E Bacchav, Tejas Sheth, Van Charles Lansingh

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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  5. Review
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  7. Review
  8. Article
  9. The Utility of Virtual Reality in Ophthalmology: A Review.Clinical ophthalmology (Auckland, N.Z.) · 2025
    Review
  10. Article
  11. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Akshay Gopinathan NairHelpMeSee Centre of Excellence, Mumbai, Maharashtra, India.
Chetan AhiwalayHelpMeSee Centre of Excellence, Mumbai, Maharashtra, India.
Ashish E BacchavHelpMeSee Centre of Excellence, Mumbai, Maharashtra, India.
Tejas ShethHelpMeSee Centre of Excellence, Mumbai, Maharashtra, India.
Van Charles LansinghHelpMeSee Inc, Mumbai, Maharashtra, India.
Creative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To establish the face and content validity of the HelpMeSee Eye Surgery Simulator - a virtual reality-based cataract surgery simulator for manual small-incision cataract surgery (MSICS). Methods: The face and content validity were assessed on the sclero-corneal tunnel construction course. A questionnaire with 11 questions focused on the visual realism, with resemblance to real life surgery, and the training value of the simulator was developed. Thirty-five experienced MSICS surgeons participated in the study. Responses were recorded using a seven-point scoring system. Results: Overall, 74.3% (26/35) of the respondents agreed that the overall visual representation of the eye and the instruments in the simulator were realistic. The task of injecting a visco-elastic through the paracentesis was reported to be the most visually realistic task with a mean score of 5.78 (SD: 1.09; range: 2-7). With regard to content validity, 77.1% (27/35) of the subjects felt agreed that the errors and complications represented throughout the entire tunnel construction module were similar to those encountered in real life; the task of entering the anterior chamber with the keratome had a mean score of 5.54 (SD: 0.98; range 1-7), being rated the highest in that aspect. Overall, 94.3% (33/35) of the subjects agreed that the simulator would be useful in developing hand-eye co-ordination. A similar number of 94.3% (33/35) agreed that based on their experience, they would recommend cataract surgical training on this simulator. Conclusion: The results suggest that the HelpMeSee Eye Surgery Simulator appears to have sufficient face and content validity for cataract surgical training.

Indexed as

CataractCataract ExtractionOphthalmologyVirtual RealityClinical CompetenceHumansAugmented realitymedical educationresidencytrainingvirtual reality

Identifiers

PMID36308146
PMCPMC9907285
OpenAlexW4307842987

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.