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Record W2055192229 · doi:10.1080/09286580590932770

The Prioritization of Patients on Waiting Lists for Cataract Surgery: Validation of the Western Canada Waiting List Project Cataract Priority Criteria Tool

2005· article· en· W2055192229 on OpenAlexaffabout
Barbara Conner‐Spady, Suren Sanmugasunderam, Paul Courtright, Drew Mildon, John McGurran, Tom Noseworthy

Bibliographic record

VenueOphthalmic Epidemiology · 2005
Typearticle
Languageen
FieldMedicine
TopicOphthalmology and Visual Impairment Studies
Canadian institutionsUniversity of TorontoUniversity of British ColumbiaUniversity of Calgary
Fundersnot available
KeywordsMedicineCataract surgeryPrioritizationVisual acuityVisual analogue scaleOptometrySurgery

Abstract

fetched live from OpenAlex

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 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)0.004
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score0.798

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.080
GPT teacher head0.394
Teacher spread0.314 · 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 designObservational
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".

Quick stats

Citations36
Published2005
Admission routes2
Has abstractyes

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