Trends in live birth rates and adverse neonatal outcomes among HIV-positive women in Ontario, Canada, 2002–2009: a descriptive population-based study
Bibliographic record
Abstract
To characterise trends in live birth rates, adverse neonatal outcomes and socio-demographic characteristics of pregnant women with diagnosed HIV between the ages of 18 and 49 in Ontario, Canada from 1 April 2002 to 31 March 2010, we conducted a population-based study. Utilising linked administrative healthcare databases we used generalised estimating equations to characterise secular trends and examine the association between live births and socio-demographic characteristics, including age, region of birth and neighbourhood income quintile. Between 2002/2003 and 2009/2010, there were 551 live births during 15,610 person-years of follow-up. The proportion of HIV-positive mothers originally from Africa or the Caribbean increased from 26.7% to 51.6% over the study period. The risk of pre-term (risk ratio 2.13, 95% confidence interval 1.74 to 2.61) and small for gestational age births (risk ratio 1.53, 95% confidence interval 1.20 to 1.94) was higher in women with HIV compared with provincial estimates for these outcomes. Women with HIV have rates of pre-term and small for gestational age births that exceed provincial estimates for these outcomes. Further research is required to identify factors mediating these disparities that are amenable to pre-natal risk reduction initiatives.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".