Crossover clinical trial of pain relief in cataract surgery
Bibliographic record
Abstract
PURPOSE: To determine the effects of intra-operative Korean traditional music on pain experienced by Korean patients undergoing sequential bilateral cataract surgery. METHODS: This was a two-sequence, two-period, and two-treatment crossover study. Fifty-two patients with cataracts were divided into two groups by block randomization, and bilateral cataract surgery was performed. In group 1, patients listened to Korean traditional music (KTM) during their first but not second cataract surgery. This sequence was reversed for patients in group 2. After each surgery, patients scored their pain intensity (PI) using a visual analog scale (VAS) ranging from 0 to 10, where 0 was 'no pain' and 10 was 'unbearable pain.' RESULT: There was a statistically significant reduction in the mean VAS score with KTM (3.1 ± 2.0) compared to that without KTM (4.1 ± 2.2; p = 0.013). However, there were no statistically significant differences in blood pressure or pulse rates. CONCLUSION: KTM had a significant effect on reducing pain experienced by patients during cataract surgery. This may be useful in the context of other surgical procedures to reduce pain in Korean patients.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".