The Prioritization of Patients on Waiting Lists for Cataract Surgery: Validation of the Western Canada Waiting List Project Cataract Priority Criteria Tool
Bibliographic record
Abstract
PURPOSE: To assess the validity of the Cataract Priority Criteria Score (PCS), developed by the Western Canada Waiting List (WCWL) Project to determine patient prioritization for cataract surgery. METHODS: Ophthalmologists assessed consecutive patients with the PCS and a visual analogue scale of urgency (VAS Urgency). Patients were mailed questionnaires pre- and post-surgery. Outcome measures were the Visual Function Assessment (VFA), EuroQol (EQ-5D), and best-corrected visual acuity. RESULTS: The sample of 253 patients was 58% female (mean age, 73.7 years); 166 completed pre-and post-surgery VFA. The correlation of the PCS and VAS Urgency was 0.65 (p = 0.000). Adjusting for age, first or second eye surgery, and post-operative complication, the PCS predicted improvement in the VFA and visual acuity (p < .05). CONCLUSIONS: These data provide some evidence to support the convergent and predictive validity of the PCS. Multiple patient outcomes should be used in the evaluation of the validity of priority scores.
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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".