Effect of spherical aberration on visual function under photopic and mesopic conditions after cataract surgery
Bibliographic record
Abstract
PURPOSE: To evaluate the effect of spherical aberration on visual function under natural pupil conditions after cataract surgery. SETTING: Keio University Hospital, Tokyo, Japan. METHODS: This study comprised cataract patients who had cataract extraction with implantation of an acrylic intraocular lens. Preoperative and postoperative visual acuity, higher-order aberration in the whole eye, contrast sensitivity function, and pupil diameter under photopic and mesopic conditions 1 month after surgery were measured. The area under log contrast sensitivity function (AULCSF) and spherical aberration corresponding to the individual pupil diameter under photopic and mesopic conditions were evaluated. RESULTS: One hundred seven eyes of 79 patients (30 men, 49 women; mean age 68.0 years +/- 9.6 [SD]) were evaluated. The mean pupil diameter was 2.9 +/- 0.50 mm under photopic conditions and 3.6 +/- 0.57 mm under mesopic conditions. The mean spherical aberration was 0.03 +/- 0.04 mum (range -0.12 to 0.34 mum) under photopic conditions and 0.05 +/- 0.10 mum (range -0.14 to 0.55 mum) under mesopic conditions. The postoperative AULCSF without glare under photopic conditions was significantly negatively correlated with spherical aberration (P = .014). The postoperative AULCSF with and without glare under mesopic conditions was significantly negatively correlated with spherical aberration (P<.001 and P = .01, respectively). CONCLUSIONS: Postoperative spherical aberration had a significant effect on visual function under photopic and mesopic conditions. This result indicates that reduced postoperative spherical aberration improves postoperative visual function under photopic and mesopic conditions.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".