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Record W3092509163 · doi:10.1097/icl.0000000000000750

Bruch Membrane Opening Minimum Rim Width Changes During Scleral Lens Wear

2020· article· en· W3092509163 on OpenAlexaff
Dan Samaha, Langis Michaud

Bibliographic record

VenueEye & Contact Lens Science & Clinical Practice · 2020
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsAssociation for Canadian StudiesConcordia University
Fundersnot available
KeywordsOphthalmologyMedicineIntraocular pressureConfidence intervalScleral lensOptical coherence tomographyRefractive errorRepeated measures designBruch's membraneCorneal topographyCorneaOptometryMathematicsEye diseaseRetinal

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this study was to evaluate the change in Bruch membrane opening minimum rim width (BMO-MRW) during scleral lens (SL) wear. METHODS: Twenty young white subjects were enrolled (10 women and 10 men); preliminary evaluation consisted of serial measurements of intraocular pressure (IOP) using a dynamic noncontact tonometer (Corvis, Oculus), which also yielded a corneal biomechanical index and central corneal thickness, and BMO-MRW using optical coherence tomography imaging (OCT) imaging (Spectralis, Heidelberg) through 6 hrs to establish normative diurnal curves. The next day, participants were fitted with a 16-mm SL on one eye, and OCT measurements were repeated over the same time span. Statistical analysis was carried out with a two-way analysis of variance. Multiple linear regressions were used to identify significant associations. RESULTS: The average diurnal variation for BMO-MRW without lenses was -4.65 μm (95% confidence interval [CI], 0.52-8.77) after 6 hours, whereas it decreased by 8 μm (95% CI, 3.87-12.12; P<0.001) after 6 hours of SL wear. The difference between variations after 6 hours was then -3.35 μm (P=0.029). Variation of the BMO-MRW did not significantly correlate with corneal rigidity (CR), central corneal thickness (CCT), and refractive error (r=-0.224, -0.054 and -0.085, respectively). CONCLUSION: Scleral lens wear induces a statistically significant decrease in BMO-MRW that could potentially be attributed to a change in IOP. The change in BMO-MRW was not affected by CR, CCT, or refractive error. Further studies are needed to better understand the significance of the observed changes at the optic nerve head during scleral lens wear.

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)0.004
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.003
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.092
GPT teacher head0.388
Teacher spread0.296 · 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 designBench or experimental
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

Citations7
Published2020
Admission routes1
Has abstractyes

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