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Record W2044948424 · doi:10.1586/17469899.2015.1026806

OMS302 (phenylephrine and ketorolac injection) 1%/0.3% to maintain intraoperative pupil size and to prevent postoperative ocular pain in cataract surgery with intraocular lens replacement

2015· article· en· W2044948424 on OpenAlexaff
Robert H. Osher, Iqbal Ike K. Ahmed, Gregory Demopulos

Bibliographic record

VenueExpert Review of Ophthalmology · 2015
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsTrillium Health CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineMiosisKetorolacMydriasisCataract surgeryAnesthesiaPupilIntraocular lensSurgeryOphthalmologyTropicamideAnalgesic

Abstract

fetched live from OpenAlex

Cataract surgery with intraocular lens replacement is among the most commonly performed surgical procedures worldwide. Various pharmacologic agents are administered topically before and/or after, and a few are delivered intracamerally during, surgery to achieve mydriasis and to treat postoperative pain and inflammation. OMS302 (Omidria™ [phenylephrine and ketorolac injection] 1%/0.3%), a proprietary drug containing phenylephrine and ketorolac, was developed for use during cataract surgery to maintain intraoperative pupil size by preventing miosis and reduce early postoperative ocular pain. Containing no preservatives or bisulfites, OMS302 is formulated in a single-dose, single-patient use vial. Added to a standard 500 ml container of irrigation solution used during the procedure, OMS302 is infused into the anterior chamber with direct action on the iris and other ocular tissues. As the only US FDA-approved drug that is indicated both to prevent miosis and reduce postoperative pain associated with cataract surgery, OMS302 provides a new treatment option for ophthalmic surgeons.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.024
GPT teacher head0.314
Teacher spread0.290 · 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 designNon-randomized trial
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

Citations12
Published2015
Admission routes1
Has abstractyes

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