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Record W1966458238 · doi:10.1055/s-2007-976258

Presbyopia Correction with ReZoom Multifocal IOLs: Canadian Multicentre Comparison of 6 week and 6 month Outcomes

2007· article· de· W1966458238 on OpenAlexaboutno aff
George Beiko

Bibliographic record

VenueKlinische Monatsblätter für Augenheilkunde · 2007
Typearticle
Languagede
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsnot available
Fundersnot available
KeywordsMultifocal intraocular lensMedicinePresbyopiaNear visionOphthalmologyVisual acuityOptometrySurgeryPhacoemulsification

Abstract

fetched live from OpenAlex

Purpose: To compare the visual outcomes at 6 weeks and 6 months post-op following bilateral implantation of ReZoom Multifocal IOLs. Methods: 18 centres across Canada participated in this study. Patients presenting for bilateral cataract or refractive lensectomy surgery were enrolled. Pre-op and post-op questionnaires were used to access patient dependence on glasses for near, intermediate and distance vision, as well as the presence of dysphotopsias. Near, distance and intermediate vision, as well as refraction was measured. This report focuses on the results at 6 weeks and 6 months post-op. Results: 161 patients were enrolled in the study; 106 completed the 6 week follow-up and 98 finished the 6 month follow-up. 94% and 91%, respectively, were spectacle independent at 6 weeks and 6 months. 91% and 97% respectively, achieved 20/30 or better uncorrected distance vision at 6 weeks and 6 months; 59% and 100% saw 20/30 or better at intermediate distance, uncorrected, respectively at 6 weeks and 6 months; and 79% and 84% saw 20/30 or better, uncorrected, for near, respectively at 6 weeks and 6 months. At 6 months, there was a significant increase in the number of patients seeing 20/20 or better at all distances. Dysphotopic symptoms were less post-op compared to pre-op, and decreased significantly at 6 month post-op. Conclusions: This study found that patients continue to achieve improvement in visual function with time, following implantation of the ReZoom multifocal IOL.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.022
GPT teacher head0.306
Teacher spread0.285 · 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 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

Citations0
Published2007
Admission routes1
Has abstractyes

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