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Record W4220899329 · doi:10.1016/j.ajoc.2022.101483

Extensive serous ciliochoroidal detachments and macular subretinal and intraretinal fluid following laser peripheral iridotomy

2022· article· en· W4220899329 on OpenAlexaff
Devin Betsch, Amr Zaki, Jeremy D. Murphy, Hesham Lakosha, Richa Gupta

Bibliographic record

VenueAmerican Journal of Ophthalmology Case Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicRetinal and Macular Surgery
Canadian institutionsHealth Sciences Centre
Fundersnot available
KeywordsUltrasound biomicroscopyOphthalmologyMedicineSerous fluidChoroidLaser coagulationSurgeryVisual acuityRetinaGlaucomaOpticsPathology

Abstract

fetched live from OpenAlex

Purpose: We present multimodal imaging of an interesting case of a 78-year-old man who developed large ciliochoroidal detachments and macular subretinal and intraretinal fluid in the right eye following bilateral neodymium-doped yttrium aluminium garnet (Nd:YAG) laser peripheral iridotomies (LPIs). Observations: The ciliochoroidal detachments developed in the absence of documented post-procedure hypotony or intraocular pressure fluctuation. Ultrasound biomicroscopy (UBM) confirmed serous ciliochoroidal detachment. There are a small number of cases of ciliochoroidal detachments developing after peripheral iridotomy, but these have involved either argon laser, significant decrease in intraocular pressure, or underlying ocular conditions or structural abnormalities, such as Vogt-Koyanagi-Harada (VKH) or nanophthalmos. Conclusions: Serous ciliochoroidal detachments following the relatively non-invasive procedure of LPI are rare occurrences. We present our case in hopes of increasing awareness of this potential acute complication. We also discuss the diagnostic challenges of this unique case, the extensive work up, and current status of the patient.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.010
GPT teacher head0.278
Teacher spread0.267 · 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 designCase report
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

Citations2
Published2022
Admission routes1
Has abstractyes

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