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Record W4406595834 · doi:10.1111/aos.17291

Femtosecond laser assisted phacoemulsification plus IOL implant: Toric IOL vs astigmatism keratotomy

2025· article· en· W4406595834 on OpenAlexaff
Howard Wen‐Haur Chao, Windsor Wen‐Jin Chao, Hsiao‐Ming Chao

Bibliographic record

VenueActa Ophthalmologica · 2025
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhacoemulsificationAstigmatismMedicineOphthalmologyFemtosecondImplantLaserOptometryOpticsSurgeryVisual acuityPhysics

Abstract

fetched live from OpenAlex

Aims/Purpose: This study aimed at comparing the clinical outcomes of femtosecond laser‐assisted cataract surgery (FSACS) performing astigmatic keratotomy (AK) and toric intraocular lens (IOLt) implantation for astigmatism correction. Methods: Based on autorefractor and corneal topography, all patients underwent pre‐operative and postoperative examinations including comparatively assessing refractive astigmatism, best corrected visual acuity and corneal high order aberrations. Results: This retrospective case series comprised a total of 20 eyes (IOLt: AK = 10: 10) of 16 patients (mean age: 62.70 ± 1.89 years). Refraction status was 1.98 ± 0.22 in IOLt (0.75~3.00 D) vs 1.95 ± 0.23 in AK (0.55~3.08 D). The follow‐up periods 9.63 ± 1.15 months after surgery. Total corneal astigmatism (CAtot) were 1.73 ± 0.20 D in IOLt/2.28 ± 0.23 D in AK preoperatively and significantly (p < 0.01/p < 0.001) reduced to 0.80 ± 0.17 D in IOLt/1.13 ± 0.07 D in AK. The pre‐operative and postoperative reduction in astigmatism between IOLt (0.93 ± 0.32 D) and AK (1.15 ± 0.21) was not significantly (p = 0.56) different. However, anterior corneal astigmatism (CAant) were 1.99 ± 0.21 D in IOLt/1.95 ± 0.23 in AK preoperatively and not significantly/significantly (p = 0.36/p < 0.05) reduced to 1.73 ± 0.18 D in IOLt/1.10 ± 0.18 D in AK. Regarding CAant, the pre‐operative and postoperative reduction in astigmatism between IOLt (0.36 ± 0.25 D) and AK (0.69 ± 0.21 D) was not significantly (p = 0.3) different. Pre‐FSACS IOLt total corneal HOAs (0.47 ± 0.15) decreased, but not significantly, after FSACS IOLt (0.41 ± 0.11; p = 0.76). However, pre‐FSACS AK total corneal HOAs (0.19 ± 0.02) significantly increased after FSACS AK (0.29 ± 0.03; p < 0.01). Furthermore, the pre‐operative and postoperative changes in total corneal HOAs between IOLt (‐0.06 ± 0.04) and AK (0.10 ± 0.02 D) were significantly (p < 0.01) different. Best corrected visual acuity (Snellen E) was preoperatively 0.42 ± 0.02 in IOLt/0.38 ± 0.02 in AK and significantly (p < 0.001) increased to 0.82 ± 0.06 in IOLt/0.74 ± 0.07 in AK postoperatively. The preoperative and postoperative BCVA alteration was not significant between two groups (IOLt vs AK: 0.40 ± 0.04 vs 0.36 ± 0.07; p = 0.64). Conclusions: IOLt implantation efficient and harmless for correcting preoperative astigmatism in FSACS in a short period.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.300
Teacher spread0.272 · 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 designNon-randomized trial
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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