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Record W4386109846 · doi:10.56808/2985-1130.3134

Case report: Peripheral iridectomy and sclerectomy for uveitic Glaucoma in a labrador retriever

2021· article· en· W4386109846 on OpenAlexaboutno aff
Natthanet Sritrakoon, Aree Thayananuphat

Bibliographic record

VenueThe Thai Journal of Veterinary Medicine · 2021
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOphthalmologyIntraocular pressureTimololUveitisGlaucoma

Abstract

fetched live from OpenAlex

A 4-year-old male Labrador retriever dog presented with a history of conjunctivitis OU and mild buphthalmos OS for one week. Ophthalmic examination revealed corneal edema, conjunctivitis, iritis, aqueous flare, posterior synechia, fibrin on the anterior lens capsule, increased intraocular pressure (IOP =30 mmHg OD; IOP = 48 mmHg OS), weak positive menace response, brisk positive dazzle reflex and negative pupillary light reflex OU. The iridocorneal angle could not be visualized due to corneal edema. Physical examination, hematology and blood chemistry results were normal. Both eyes were diagnosed as having glaucoma and uveitis. Topical prednisolone acetate, atropine sulfate, brinzolamide and timolol including oral doxycyclin and prednisolone were prescribed. The IOP readings in the right eye were initially controlled with medication for only 3-4 weeks whereas the IOPs in the left eye were refractory to treatment. Glaucoma in the left eye became chronic while vision remained in the right eye. One-eighth iridectomy at 10-11 o’clock and 2x6 mm sclerectomy at 10-11 o’clock were performed in the right eye to create aqueous humor passage drainage. Cyclocryotherapy was performed in the left eye. Topical prednisolone acetate, brinzolamide and timolol were applied OU. Seven months postoperatively, the IOPs were maintained within normal OU limits at all examinations. Menace response and dazzle reflex were positive in the right eye. An obstacle course was positive when the left eye was covered.

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)0.001
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 score0.058
Threshold uncertainty score0.439

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 integrity0.0000.000
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 head0.041
GPT teacher head0.321
Teacher spread0.280 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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