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Record W1977849294 · doi:10.1097/icu.0b013e32831b6daf

Same-day sequential cataract surgery

2008· review· en· W1977849294 on OpenAlexaff
Steve A. Arshinoff, Silvia Odorcic

Bibliographic record

VenueCurrent Opinion in Ophthalmology · 2008
Typereview
Languageen
FieldMedicine
TopicOcular Infections and Treatments
Canadian institutionsUniversity of TorontoHumber River Regional Hospital
Fundersnot available
KeywordsMedicineCataract surgeryOptometryAnisometropiaPhacoemulsificationGeneral surgerySurgeryOphthalmologyVisual acuity

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Simultaneous bilateral cataract surgery (SBCS) is gaining in popularity worldwide. Whereas 5 or 10 years ago, it was only performed by scattered individual surgeons, it is now rapidly becoming accepted and mainstream. RECENT FINDINGS: Cataract surgery is generally performed on older patients. The reduction in medical visits, avoidance of interprocedural anisometropia and decreased stereopsis, and very rapid rehabilitation made possible by SBCS make the surgery much easier on the patients and their families. The fears of SBCS, most notably bilateral postoperative endophthalmitis, seem unfounded, as long as established precautions are followed. Some jurisdictions continue to penalize surgeons financially for performing SBCS, thus discouraging its spread. Unlike the Royal College of Ophthalmologists, UK, Surgery Guidelines, the American Academy of Ophthalmology's 2006 Preferred Practice Patterns do not include relative indications for SBCS. SUMMARY: SBCS will likely become rapidly more common around the world during the coming decade, to the great benefit of patients, institutions, and funding agencies.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.003

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 head0.255
GPT teacher head0.466
Teacher spread0.212 · 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

Citations49
Published2008
Admission routes1
Has abstractyes

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