Pubertal onset in children with in-utero HIV/antiretroviral exposure in Botswana
Bibliographic record
Abstract
OBJECTIVE: We assessed whether children/adolescents ages 9-11 years with in-utero HIV exposure but uninfected (CAHEU) had a lower chance of pubertal onset compared to children/adolescents who were HIV-unexposed (CAHU) during gestation. Among CAHEU, we assessed the association of in-utero combination antiretroviral therapy (ART) vs. zidovudine monotherapy exposure with pubertal onset. DESIGN: An observational cross-sectional study. METHODS: Pubertal onset (Tanner stage ≥2) was classified by sex and by in-utero HIV exposure status for each puberty indicator (pubic hair, breast development in girls, and male genitalia in boys) among adolescents aged 9-11 years from the Botswana-based FLOURISH study. Logistic regression models were fit to assess the association of in-utero HIV/ARV exposure with pubertal onset, adjusting for age at assessment and potential confounders. Among CAHEU, we compared the occurrence of pubertal onset for ART-exposed vs. zidovudine-exposed. RESULTS: We evaluated 325 children/adolescents (228 CAHEU) at median age (IQR) 10.0 years (9.5, 10.6 years). CAHEU had lower mean BMI Z -scores at Tanner assessment (-0.36 vs. 0.19) than CAHU. While female CAHEU had higher odds of pubertal onset by pubic hair compared with female CAHU (adjusted odds ratio=2.75, 95% confidence interval: 1.04-7.30), no other differences in pubertal onset were observed by in-utero HIV exposure. Among CAHEU, no differences in pubertal onset by in-utero exposure to ART vs. zidovudine were observed. CONCLUSION: In this small Botswana cohort, we observed no consistent differences in pubertal onset by in-utero HIV exposure status or by in-utero antiretroviral exposure. Longitudinal studies are needed to confirm these findings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".