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Record W3000766399 · doi:10.1097/ijg.0000000000001451

Evolving Guidelines for Intracameral Injection

2020· review· en· W3000766399 on OpenAlexaff
Jeffrey M. Liebmann, Keith Barton, Robert N. Weinreb, David Eichenbaum, Preeya K. Gupta, Cathleen M. McCabe, Jeremy D. Wolfe, Iqbal Ike K. Ahmed, Arsham Sheybani, E. Randy Craven

Bibliographic record

VenueJournal of Glaucoma · 2020
Typereview
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsKensington HealthUniversity of Toronto
Fundersnot available
KeywordsMedicineBest practiceMedical physicsIntensive care medicineOptometry

Abstract

fetched live from OpenAlex

PURPOSE: To review evidence and provide guidelines on intracameral (ICM) injection techniques and monitoring. MATERIALS AND METHODS: A review of published literature on ICM injection and intravitreal injections formed the basis for roundtable deliberations by an expert panel of ophthalmologists. RESULTS: ICM injection as a way to deliver medications is growing in popularity. However, there is limited published literature and no standard approach to best practices for ICM injections, particularly when not accompanying another surgical procedure. Fortunately, there is long clinical experience with ICM manipulation and a large body of evidence surrounding intravitreal injections that has provided important guidance. The expert panel formulates several concrete guidelines and many suggested techniques to help physicians safely and effectively employ ICM injections. CONCLUSIONS: This committee addressed the many considerations surrounding ICM injection of drugs or implants and agree that it is a safe and effective surgical procedure when performed with appropriate training and according to established safe practices.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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 score0.932
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.125
GPT teacher head0.415
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 teacher head, 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

Citations23
Published2020
Admission routes1
Has abstractyes

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