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Record W4414024461 · doi:10.1016/j.ajo.2025.09.009

Visual Acuity Outcomes After Trans-scleral Cyclophotocoagulation: A Systematic Review and Meta-analysis

2025· review· en· W4414024461 on OpenAlexafffund
Chris Zajner, Bhadra U. Pandya, Michael Balas, David J. Mathew

Bibliographic record

VenueAmerican Journal of Ophthalmology · 2025
Typereview
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsUniversity of TorontoWestern University
FundersGlaucoma Research Society of Canada
KeywordsVisual acuityMedicineMeta-analysisOphthalmologyOptometryInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: To evaluate best-corrected visual acuity (VA) outcomes following trans-scleral cyclophotocoagulation (TSCPC) in patients with refractory glaucoma. DESIGN: Systematic review and meta-analysis. METHODS: The full protocol was registered on PROSPERO (42023485891). The electronic databases OVID, MEDLINE, and EMBASE were searched using keywords related to TSCPC and visual acuity outcomes (start date to February 7, 2025). Meta-analysis was completed using random effects models and risk ratios to calculate pooled estimates. RESULTS: = 21.5%, P = .876). CONCLUSIONS: This meta-analysis suggests no significant decrease in VA after TSCPC, with a moderate degree of certainty. Larger amounts of total energy during TSCPC were found to be correlated with worse BCVA. However, given the substantial heterogeneity and observational nature of most studies, these findings should be interpreted with caution.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.020
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0150.029
Bibliometrics0.0050.005
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.044
GPT teacher head0.397
Teacher spread0.353 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
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

Citations0
Published2025
Admission routes2
Has abstractyes

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