Vision improvement and reduction in falls after expedited cataract surgery
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: To quantify the benefits of expedited cataract surgery in improving visual acuity and reducing fall-related injuries in the older population. SETTING: Developmental Neurosciences and Child Health: Neurons to Neighbourhoods, Vancouver, British Columbia, Canada. METHODS: A systematic review of the literature was conducted. Studies were included if expedited cataract surgery was presented as a measure to enhance vision and to reduce injury. Published and unpublished studies with any type of study design were included. Studies were identified from 12 databases including Medline (1950 to 2008) and Embase (1980 to 2008). The metaanalysis was specific to randomized controlled trials (RCTs). RESULTS: The review comprised 737 participants. Sufficient data for the metaanalysis were available to evaluate the impact of expedited cataract surgery on improved visual acuity and a reduced fall rate. Twenty-two publications that included RCTs and prospective cohort studies met the inclusion criteria. Three studies evaluated visual acuity after expedited routine cataract surgery and routine cataract surgery. The pooled estimate showed that expedited cataract surgery increased visual acuity by more than 7 times (odds ratio [OR], 7.22; 95% confidence interval [CI], 3.16-16.55; P<.0001). Pooling of data from 2 RCTs of 535 participants showed a nonsignificant reduction in the incidence of falls after expedited cataract surgery (OR, 0.81; 95% CI, 0.55-1.17). CONCLUSIONS: Accumulating evidence indicates that expedited cataract surgery is effective in significantly enhancing vision but is inconclusive in preventing falls. FINANCIAL DISCLOSURE: No author has a financial or proprietary interest in any material or method mentioned.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it