High rates of ocular complications in a cohort of Haitian children and adolescents with diabetes
Bibliographic record
Abstract
BACKGROUND: Ophthalmic complications of pediatric diabetes are rare, and rates are unknown in Haitian youth. OBJECTIVES: To determine the prevalence and predictors of diabetic retinopathy (DR) and cataracts in a cohort of Haitian youth with insulin-treated diabetes. METHODS: We performed a cross-sectional retrospective review of pediatric patients with diabetes from a pediatric chronic disease center in Haiti, from December 1, 2012 to November 1, 2016. Data collection included demographic and anthropometric information, total daily insulin dose and result of eye examination by a local ophthalmologist. RESULTS: Of 67 patients (54% female, mean age at diagnosis 14.6 ± 3.9 years, mean diabetes duration 3.3 ± 3.0 years, mean HbA1c 84 ± 22 mmol/mol (9.8% ± 2.0%), mean current insulin requirement 0.49 ± 0.28 IU/kg/day), DR was diagnosed in 10/57 (18%) and cataracts in 10/62 (16%), at a mean age of 19.0 ± 4.3 and 19.1 ± 3.3 years, respectively. Diabetes duration was 4.9 ± 5.4 and 3.0 ± 1.5 years at the time of diagnosis of DR and cataracts, respectively. Age at complication, insulin requirement, sex, body mass index, family history, mean HbA1c and diabetes duration were not significant predictors of an ocular complication. CONCLUSIONS: In this cohort of Haitian youth, DR and cataracts occur prematurely. Low-insulin requirements years after diagnosis, possibly allowing for prolonged undetected hyperglycemia prediagnosis, may explain complication risk. The phenotypes of diabetes in pediatric populations of African ancestry may be distinct. Ophthalmologic evaluation should possibly start at diagnosis, and screening guidelines may need to be adapted.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".