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Record W2943474733 · doi:10.1177/2474126419838436

Acute Annular Outer Retinopathy: Literature Review and a Report of 2 Cases

2019· review· en· W2943474733 on OpenAlexaff
R. Rishi Gupta, Douglas S.M. Iaboni, Mark E. Seamone, Cyril Archambault, David E. Lederer

Bibliographic record

VenueJournal of VitreoRetinal Diseases · 2019
Typereview
Languageen
FieldMedicine
TopicOcular Diseases and Behçet’s Syndrome
Canadian institutionsUniversité de MontréalUniversity of AlbertaMcGill UniversityHealth Sciences CentreDalhousie University
Fundersnot available
KeywordsExternal limiting membraneMedicineOptical coherence tomographyOphthalmologyVisual acuityFundus (uterus)RetinalRetinal pigment epithelium

Abstract

fetched live from OpenAlex

Purpose: Acute annular outer retinopathy (AAOR) is an uncommon disease. We present 2 illustrative cases and demonstrate disease evolution using multimodal imaging. The 18 previously reported cases in the peer-reviewed English literature are also reviewed. Methods: We conducted a case series and literature review. Results: We observed complete structural resolution by spectral-domain optical coherence tomography (SD-OCT) and ultra-widefield fundus autofluorescence in 1 case. In the literature review, 20 cases of AAOR were identified, including the 2 we have presented. Fifteen cases were unilateral and 5 bilateral, resulting in a total of 25 eyes with AAOR. Presenting symptoms included visual field defects (72%), decreased vision (48%), and photopsia (36%). Sixty-eight percent had a final visual acuity better than or equal to 20/40, while a minority (14%) were 20/200 or worse. Clinically, all eyes had a peripapillary annular band of gray-white opacification of the deep retina. Conclusions: We have reviewed and summarized the 18 previously reported cases of AAOR in the English literature and have shown for the first time that AAOR may undergo complete recovery of the external limiting membrane and ellipsoid zone on SD-OCT with resolution of disease. There is still much to be understood regarding the pathogenesis of and optimal management of AAOR.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.344
Teacher spread0.324 · 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.

Study designSystematic review
Domainnot available
GenreReview

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
Published2019
Admission routes1
Has abstractyes

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