Evidence map›Paper›PMID 40423504›Full record

ArticleJournal of pediatric ophthalmology and strabismus

Quality and Readability of Patient Educational Materials Generated by ChatGPT-4o for Pediatric Ophthalmologic Surgeries.

Albert Yang, Mark Reid, Angeline M Nguyen, Sudha Nallasamy, Federico G Velez, Alejandra G de Alba Campomanes, Melinda Y Chang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pediatric ophthalmology and strabismus. 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. Review
  2. Review
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

7 authors.

Albert YangKeck School of Medicine, University of Southern California, Los Angeles, California.
Mark ReidThe Vision Center at the Children's Hospital Los Angeles, Los Angeles, California.
Angeline M NguyenKeck School of Medicine, University of Southern California, Los Angeles, California.
Sudha NallasamyKeck School of Medicine, University of Southern California, Los Angeles, California.
Federico G VelezThe Department of Ophthalmology, University of California, Los Angeles, Los Angeles, California.
Alejandra G de Alba CampomanesThe Department of Ophthalmology, University of California, San Francisco, San Francisco, California.
Melinda Y ChangKeck School of Medicine, University of Southern California, Los Angeles, California.

Funding

Validating a machine learning model of eye tracking in children with cortical visual impairment (CVI)K23EY033790 · NEI · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Melinda Chang · 2022 to 2026
$1.2M
NEI NIH HHS K23 EY033790
6 · The paper itself

Abstract

purposeTo evaluate the quality and readability of ChatGPT-4o-generated (ChatGPT) (OpenAI) patient education materials (PEMs) about pediatric ophthalmologic surgical procedures and compare these to PEMs from the American Association for Pediatric Ophthalmology and Strabismus (AAPOS) website.

methodsThe authors prompted ChatGPT-4o to provide PEMs on four procedures-strabismus surgery without adjustable sutures, strabismus surgery with adjustable sutures, pediatric cataract surgery, and nasolacrimal duct probing. The prompt requested responses at a 6th grade level in both Spanish and English. English ChatGPT responses were compared to AAPOS PEMs on quality (using the Quality of Generated Language Outputs for Patients [QGLOP] scale) and readability. English and Spanish ChatGPT responses were also compared on quality and readability.

resultsBased on average scores from the four procedures, AAPOS PEMs were superior to English Chat-GPT responses on the accuracy, currency, and tone subscales of the QGLOP score (4.0 ± 0 vs 2.79 ± 0.79,

conclusionsChatGPT-4o-generated PEMs on pediatric ophthalmologic surgical conditions are currently inferior in quality to PEMs on the AAPOS website. However, because ChatGPT is continually being updated and trained, this study should be repeated in the future to determine whether metrics improve over time.

Indexed as

ComprehensionOphthalmologic Surgical ProceduresOphthalmologyPatient Education as TopicStrabismusTeaching MaterialsChildGenerative Artificial IntelligenceHumansReading

Identifiers

PMID40423504
PMCPMC12806545

What OpenQuestion holds

Textmetadata
LicenceTDM
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.