Evidence map›Paper›PMID 40378038›Full record

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

Agreement and Accuracy of Papilledema and Pseudopapilledema Classification Among Pediatric Neuro-Ophthalmologists Using Optic Disc Photographs.

Mark J Phillips, Mark W Reid, Eric D Gaier, Ryan A Gise, Gena Heidary, Shannon J Beres, Stacy L Pineles, Mark S Borchert, Melinda Y Chang, Pediatric Optic Nerve Investigator Group (PONIG)

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study 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
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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

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5 · Who and what money

Authors and funding

10 authors.

Mark J PhillipsDepartment of Ophthalmology (MJP, MSB, MYC), Roski Eye Institute, Keck School of Medicine, University of Southern California, Los Angeles, California; Division of Ophthalmology (MWR, MSB, MYC), Children's Hospital Los Angeles, Los Angeles, California; Department of Ophthalmology (EDG, RAG, GH), Boston Children's Hospital, Boston, Massachusetts; Department of Ophthalmology (EDG, RAG, GH), Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, Massachusetts; Picower Institute for Learning and Memory (EDG), Massachusetts Institute of Technology, Cambridge, Massachusetts; Department of Ophthalmology (SJB), Byers Eye Institute, Stanford University, Palo Alto, California; and Department of Ophthalmology (SLP), Stein Eye Institute, University of California Los Angeles, Los Angeles, California.
Mark W Reid
Eric D Gaier
Ryan A Gise
Gena Heidary
Shannon J Beres
Stacy L Pineles
Mark S Borchert
Melinda Y Chang
Pediatric Optic Nerve Investigator Group (PONIG)

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
National Eye Institute Research to Prevent Blindness, Knights Templar Eye Foundation K23EY033790National Eye Institute, Research to Prevent Blindness, Knights Templar Eye Foundation K23EY033790NEI NIH HHS K23 EY033790
6 · The paper itself

Abstract

backgroundSerial fundus photography is commonly used to differentiate between papilledema and pseudopapilledema, but there are limited data on the interrater reliability and accuracy of interpreting these images in children. The purpose of this study was to evaluate the agreement and accuracy of pediatric neuro-ophthalmologists in classifying fundus photographs of children with papilledema and pseudopapilledema.

methodsFor this cross-sectional study, 3 masked experts (pediatric neuro-ophthalmologists) classified a multicenter image collection from children with a clinical diagnosis of either papilledema or pseudopapilledema, which was determined based on the results of history, examination, ancillary ophthalmic imaging, neuroimaging, and/or lumbar puncture. Fleiss kappa (κ) was calculated to assess interrater agreement; accuracy, sensitivity, and specificity were calculated to determine expert performance. Subgroup analyses according to papilledema grade and expert certainty were performed.

resultsSix hundred fifty-nine photographs from 171 children were included. The full data set, papilledema, and pseudopapilledema κ values were 0.36 (0.32-0.42), 0.40 (0.32-0.49), and 0.28 (0.22-0.34), respectively. Accuracy, sensitivity, and specificity ranged from 58.9% to 63.9%, 54.3% to 76.0%, and 56.1% to 62.6%, respectively, among the 3 experts. Grade 1 papilledema was associated with inaccurate agreement (misinterpretation as pseudopapilledema by all 3 experts) in 31.8% and disagreement in 59.0% of cases. Higher grades of papilledema were associated with higher rates of accurate agreement. All experts achieved high sensitivity in classifying photographs of moderate-to-high-grade papilledema (85%-94%).

conclusionsOverall agreement was low among pediatric neuro-ophthalmologists when classifying fundus photographs of children with papilledema and pseudopapilledema. When interpreting low-grade papilledema images, inaccurate agreement and disagreement were more likely than accurate agreement among experts. Our study highlights the limitations of interpreting fundus photographs of children with papilledema and pseudopapilledema in isolation, stressing the importance of obtaining a complete neuro-ophthalmologic history and examination, as well as other ancillary ophthalmic imaging, to guide decision making regarding systemic workup.

Indexed as

Eye Diseases, HereditaryOphthalmologistsOptic DiskOptic Nerve DiseasesPapilledemaPhotographyAdolescentChildChild, PreschoolCross-Sectional StudiesDiagnosis, DifferentialFemaleHumansMaleReproducibility of Results

Identifiers

PMID40378038
PMCPMC12353009

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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 OpenQuestion graph.