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Incidence and Management of Glaucoma or Glaucoma Suspect in the First Year After Pediatric Lensectomy

2019· article· en· W2990596873 on OpenAlex
Sharon F. Freedman, Raymond T. Kraker, Michael X. Repka, David K. Wallace, Alejandra de Alba Campomanes, Tammy L. Yanovitch, Faruk Örge, Matthew D. Gearinger

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJAMA Ophthalmology · 2019
Typearticle
Languageen
FieldMedicine
TopicIntraocular Surgery and Lenses
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineGlaucomaIncidence (geometry)Retrospective cohort studyCohortOphthalmologyOptometrySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Importance: Glaucoma can occur following cataract removal in children, and determining the risk for and factors associated with glaucoma and glaucoma suspect in a large cohort of children after lensectomy can guide clinical practice. Objective: To estimate the incidence of glaucoma and glaucoma suspect and describe its management in the first year following lensectomy in children before 13 years of age. Design, Setting, and Participants: A multicenter clinical research registry containing data for 1361 eyes of 994 children who underwent unilateral or bilateral lensectomy between June 2012 and July 2015 at 1 of 61 sites in the United States (n = 57), Canada (n = 3), and the United Kingdom (n = 1). Patients were eligible for inclusion in the study if they were enrolled in the registry within 45 days after lensectomy and had at least 1 office visit between 6 and 18 months after lensectomy. Patient data were reviewed, and glaucoma and glaucoma suspect were diagnosed by investigators using standardized criteria. Statistical analysis was performed between June 2017 and August 2019. Exposures: Clinical care 6 to 18 months after lensectomy. Main Outcomes and Measures: Incidence risk using standardized definitions of glaucoma and glaucoma suspect after lensectomy. Results: Among 702 patients included in this cohort study, 353 (50.3%) were male and 427 (60.8%) were white; mean age at lensectomy was 3.4 years (range, 0.04-12.9 years). After lensectomy, glaucoma or glaucoma suspect was diagnosed in 66 of 970 eyes (adjusted overall incidence risk, 6.3%; 95% CI, 4.8%-8.3%). Glaucoma was diagnosed in 52 of the 66 eyes, and glaucoma suspect was diagnosed in the other 14 eyes. Mean age at lensectomy in these 66 eyes was 1.9 years (range, 0.07-11.2 years), and 40 of the 66 (60.6%) were eyes of female patients. Glaucoma surgery was performed in 23 of the 66 eyes (34.8%) at a median of 3.3 months (range, 0.9-14.8 months) after lensectomy. The incidence risk of glaucoma or glaucoma suspect was 15.7% (99% CI, 10.1%-24.5%) for 256 eyes of infants 3 months or younger at lensectomy vs 3.4% (99% CI, 1.9%-6.2%) for 714 eyes of infants older than 3 months (relative risk, 4.57; 99% CI, 2.19-9.57; P < .001) and 11.2% (99% CI, 7.6%-16.7%) for 438 aphakic eyes vs 2.6% (99% CI, 1.2%-5.6%) for 532 pseudophakic eyes (relative risk, 4.29; 99% CI, 1.84-10.01; P < .001). No association was observed between risk of developing glaucoma or glaucoma suspect and any of the following variables: sex, race/ethnicity, laterality of lensectomy, performance of anterior vitrectomy, prelensectomy presence of anterior segment abnormality, or intraoperative complications. Conclusions and Relevance: This study found that glaucoma or glaucoma suspect developed in a small number of eyes in the first year after lensectomy and may be associated with aphakia and younger age at lensectomy. Frequent monitoring for signs of glaucoma following lensectomy is warranted, especially in infants 3 months or younger at lensectomy and in children with aphakia after lensectomy.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.012
GPT teacher head0.261
Teacher spread0.249 · 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