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Record W7132975639

Patterns of HIV diagnosis among HIV-positive women giving birth in Ontario: results from the Ontario Perinatal HIV Database, 1994--2002

2005· dissertation· W7132975639 on OpenAlexaboutno aff
Maraki Fikre Merid

Bibliographic record

VenueTSpace · 2005
Typedissertation
Language
FieldMedicine
TopicHIV/AIDS Research and Interventions
Canadian institutionsnot available
Fundersnot available
KeywordsLogistic regressionHuman immunodeficiency virus (HIV)PregnancyHIV diagnosisFertilityPrenatal diagnosisSidaEpidemiology
DOInot available

Abstract

fetched live from OpenAlex

Objective. To examine patterns of HIV diagnosis and correlates of late HIV diagnosis among HIV-infected mothers giving birth in Ontario from 1994 to 2002. Results. 33% were diagnosed before conception and 27% after delivery; 96% of HIV transmissions occurred among the latter. Proportion diagnosed after delivery decreased over time. Year of delivery was independent correlate of diagnosis after delivery; age and country of origin for diagnosis before conception. Mothers diagnosed before conception were older, mostly Canadian and fertility rate was lower than general population's. Methods. Information on 256 HIV-infected mothers reported to the CPARG surveillance and supplemented using Motherisk and HIV Program and chart reviews was used. Logistic regression modeling and tests of association were used to analyze the data. Conclusion. HIV prenatal testing since 1994 has increased diagnosis during pregnancy but the rate remains suboptimal. No specific subgroups of women, notably women from HIV-endemic countries, are being selectively missed.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.311
Teacher spread0.291 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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