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Record W3203795131 · doi:10.4103/meajo.meajo_19_21

Successful Pars Plana Vitrectomy with Zonulo-hyaloidectomy Performed 4 Years after the Onset of Chronic Low-Grade Aqueous Misdirection

2021· article· en· W3203795131 on OpenAlexaff
Waleed K. Alsarhani, Abdullah I. Almater, Marwan A. Abouammoh, Faisal A. Almobarak

Bibliographic record

VenueMiddle East African Journal of Ophthalmology · 2021
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicinePars planaVitrectomyOphthalmologyTrabeculectomyVisual acuityUltrasound biomicroscopyGlaucomaCiliary bodyIntraocular pressureSurgery

Abstract

fetched live from OpenAlex

In aqueous misdirection, the interval between diagnosis and surgical intervention is inversely proportional to the success of the surgery. Here, we report a successful outcome of pars plana vitrectomy (PPV) with irido-zonulo-hyaloidectomy 4 years after the onset of the disease. A 34-year-old female, known to have primary angle closure glaucoma, underwent trabeculectomy with mitomycin C in the right eye for uncontrolled intraocular pressure (IOP). Six weeks after the surgery, the patient presented with a shallow anterior chamber centrally and peripheral iridocorneal touch along with a patent peripheral iridectomy. Ultrasound biomicroscopy showed a shallow AC centrally with peripheral iridocorneal touch, and the ciliary body was rotated forward confirming the diagnosis of aqueous misdirection. The patient refused surgical management and was managed medically, which was unsuccessful. Four years after the diagnosis, the patient underwent PPV with irido-zonulo-hyaloidectomy because of progressive shallowing of the AC and corneal edema. One month postoperatively, visual acuity improved from 20/200 to 20/60, and the AC maintained appropriate depth. In conclusion, PPV with irido-zonulo-hyaloidectomy may result in a complete resolution of a chronic low-grade form of aqueous misdirection.

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)0.000
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 score0.296
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.236
Teacher spread0.222 · 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
Published2021
Admission routes1
Has abstractyes

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