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Record W4415299763 · doi:10.1177/24741264251374596

Retinal Detachment in the Setting of Neurofibromatosis Type 1

2025· article· en· W4415299763 on OpenAlexaff
Lauren Pickel, Miguel Cruz-Pimentel, Anarsaikhan Narmandakh, Austin Pereira, Peng Yan

Bibliographic record

VenueJournal of VitreoRetinal Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicNeurofibromatosis and Schwannoma Cases
Canadian institutionsKensington HealthUniversity of Toronto
Fundersnot available
KeywordsRetinal detachmentNeurofibromatosisAsymptomaticPresentation (obstetrics)Eye diseaseRetinalNeurofibromatoses

Abstract

fetched live from OpenAlex

Purpose: Neurofibromatosis type 1 (NF1) is a multisystem neurocutaneous syndrome that includes ocular manifestations. This systematic literature review aimed to examine evidence of an association between NF1 and retinal detachment (RD). Methods: Ovid MEDLINE, EMBASE, and PubMed were searched from database inception to February 2024 for reports of RD related to NF1. An additional case of spontaneous RD in a young patient with NF1 is reported. Results: In total, 27 reported cases of NF1-associated RD were identified, of which 14 were associated with intraocular or intraorbital space-occupying lesions. Lesion-associated RDs were exudative and presented in patients at a median age of 19.6 years (range 10 to 36 years). The remaining 13 cases, and the novel case reported herein of a patient with RD secondary to a giant retinal tear, were spontaneous rhegmatogenous RD, presenting in patients at a median age of 19.1 years (range 22 months to 49 years). The most common presentation of spontaneous RD was an asymptomatic finding on routine exam (55% of reported cases). Conclusions: NF1 may increase the risk of RD through 2 mechanisms: exudation caused by space-occupying intraorbital lesions, or rhegmatogenous RD resulting from irregularities in vitreoretinal adhesion due to abnormal collagen production. While further evidence is needed, extended ocular screening of patients with NF1 into adulthood may be considered.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.358

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.291
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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