Chlamydia Public Health Programs and the Epidemiology of Pelvic Inflammatory Disease and Ectopic Pregnancy
Bibliographic record
Abstract
BACKGROUND: Many countries have witnessed a disturbing increase in cases of Chlamydia trachomatis infection despite enhanced control programs. Since the goal of Chlamydia control is to prevent reproductive complications such as pelvic inflammatory disease and ectopic pregnancy, an understanding of recent trends in these conditions is needed to fully evaluate the effect of control efforts. METHODS: We analyzed 2 provincial, comprehensive health services administrative databases (encompassing hospitalizations and all physician-delivered services) for pelvic inflammatory disease and ectopic pregnancy trends from 1992 through 2009 in women of reproductive age in British Columbia, Canada. Trends were compared to provincial Chlamydia surveillance data by time-series analysis, using the cross-correlation function method and Granger causality testing. RESULTS: Chlamydia cases substantially increased from 1992 through 2009. Inpatient, outpatient, and total diagnoses of pelvic inflammatory disease and ectopic pregnancy declined from 1992 through 2003. After 2003, pelvic inflammatory disease rates continued to fall, while ectopic pregnancy rates significantly increased. The male Chlamydia urethritis rate increased from 39.4 to 173.6 cases/100,000 from 1996 to 2009. CONCLUSIONS: In the context of increasing Chlamydia infection rates, the reproductive complications of Chlamydia infection in women are declining overall. A recent increase in rates of ectopic pregnancies is cause for concern.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".