Evidence map›Paper›PMID 40830813›Full record

ArticleJournal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society2025

Reply: Diagnosing Neuro-Ophthalmology Diseases Based on Case Reports: DeepSeek vs ChatGPT.

Yeganeh Madadi, Mohammad Delsoz, Priscilla A Lao, Joseph W Fong, T J Hollingsworth, Siamak Yousefi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Yeganeh MadadiDepartment of Computer Science (YM), Appalachian State University, Boone, North Carolina; and Departments of Ophthalmology (MD, PAL, JWF, TJH, SY) and Genetics, Genomics, and Informatics (SY), University of Tennessee Health Science Center, Memphis, Tennessee.
Mohammad Delsoz
Priscilla A Lao
Joseph W Fong
T J Hollingsworth
Siamak Yousefi

Funding

Predicting the risk of glaucoma from structural, functional, and genetic factors using artificial intelligenceR01EY033005 · NEI · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI YOUSEFI, SIAMAK · 2022 to 2025
$2.4M
National Institute of Health R01EY033005NEI NIH HHS R01 EY033005
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40830813
PMCPMC12353572

What OpenQuestion holds

Textmetadata
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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.