Incidence and Management of Glaucoma or Glaucoma Suspect in the First Year After Pediatric Lensectomy
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".