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Record W4408128678 · doi:10.1097/icl.0000000000001174

Clinical Safety and Efficacy of Orthokeratology Contact Lenses With Toric Peripheral Curves: A Review of the Literature

2025· review· en· W4408128678 on OpenAlexaff
Langis Michaud, Jennifer Harthan, Ayda M. Shahidi, Marjorie Rah, William Reindel

Bibliographic record

VenueEye & Contact Lens Science & Clinical Practice · 2025
Typereview
Languageen
FieldMedicine
TopicOphthalmology and Visual Impairment Studies
Canadian institutionsAssociation for Canadian Studies
Fundersnot available
KeywordsOrthokeratologyMedicineOptometryPeripheralOphthalmologyInternal medicineCornea

Abstract

fetched live from OpenAlex

OBJECTIVE: To assess the clinical safety and efficacy of orthokeratology (OK) lenses with toric peripheral curves (TPCs), based on a review of published literature. METHODS: A literature search on OK lenses with TPCs using 11 relevant search term combinations was conducted. Databases included PubMed, Cochrane Online Library, Prospero International Prospective Register of Systematic Reviews, and Embase. The period covered was January 1, 2012, to May 1, 2024. RESULTS: In total, 600 publications were identified in the search databases using the search criteria. Based on titles and abstracts, 52 distinct articles were identified for further review; of these, 16 were determined related to clinical evaluation of OK lenses with TPCs. The published studies involved five different lens models from five different manufacturers: Menicon Z Night Toric (Menicon Co, Ltd, Nagoya, Japan), Euclid Emerald Toric (Euclid Systems Corporation, Herndon, VA), Lucid Night Ortho-K Toric (Lucid Korea, Seoul, Korea), Dual Axis Corneal Refractive Therapy (Paragon Vision Sciences, Gilbert, AZ), and Eyebright Base Curve Aspheric Ortho-K (Eyebright Medical Technology Co, Ltd, Beijing, China). CONCLUSIONS: Published literature suggests that OK lenses with TPCs are effective in treating patients with both myopia and astigmatism, with favorable safety profiles.

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)0.011
metaresearch head score (Gemma)0.075
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.560
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.075
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0000.002
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.003
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 head0.088
GPT teacher head0.513
Teacher spread0.425 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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