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Record W2322961586 · doi:10.1097/icu.0b013e328341425d

Consequences of waiting for cataract surgery

2010· review· en· W2322961586 on OpenAlexaff
Howard V. Gimbel, Albena Dardzhikova

Bibliographic record

VenueCurrent Opinion in Ophthalmology · 2010
Typereview
Languageen
FieldHealth Professions
TopicGlobal Health Care Issues
Canadian institutionsGimbel Eye Centre
Fundersnot available
KeywordsMedicineCataract surgeryQuality of life (healthcare)Depression (economics)LicensePublic healthOptometrySurgeryNursing

Abstract

fetched live from OpenAlex

UNLABELLED: PURPOSE OR REVIEW: To conduct a concise review of primary research articles over the preceding year on the subject of the consequences of waiting for cataract surgery. RECENT FINDINGS: Waiting for cataract surgery beyond 6 months may result in increasing vision loss, decrease in quality life, loss of driver's license, depression and adverse events including falls and fractures. The consequences of waiting for cataract surgery not only affect patients, families and surgeons, but also health ministries and public health policy makers. Consequences are both quantitative and qualitative in nature, ranging from progressive vision loss to patients' decrease in quality of life from factors other than vision loss. Cataract wait lists are not unique to North America, and numerous international articles have described a broad variety of consequences. SUMMARY: Consequences of waiting for cataract surgery are multivariate in nature and easily extend beyond the clinical setting into sociodemographic realms and public health costs and policy arenas.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.524
GPT teacher head0.620
Teacher spread0.096 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations38
Published2010
Admission routes1
Has abstractyes

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