The risk of women in Manitoba acquiring pelvic inflammatory disease from one or more episodes of genital Chlamydia trachomatis or Neisseria gonorrhoeae infections
Bibliographic record
Abstract
The association between being infected with the sexually transmitted infections (STIs), Chlamydia trachomatis or Neisseria gonorrhoeae and developing pelvic inflammatory disease (PID) is supported in the literature. Research also demonstrates an association between repeat infections with chlamydia or gonorrhea and acquiring PID. While there is some information from Canada on this topic, the majority of the research is from the United States and abroad. Additionally, there are few studies that have been able to examine the risk of acquiring PID utilizing a prospective study design. The purpose of this study is to identify the risk of women in Manitoba acquiring PID from one or more episodes of genital chlamydia or gonorrhea. The length of time following a genital chlamydial or gonococcal infection where PID develops is explored. Obtaining information on the risks of acquiring PID, among women in Manitoba with genital chlamydia or gonorrhea, has important policy implications such as early detection and screening of STIs, treatment procedures, partner notification and contact tracing. A surveillance system framework was used to guide the study. The data were acquired by linking administrative databases from Cadham Provincial Laboratory and Manitoba Health. Three cohorts of women were chosen, based on their history of testing positive or negative for STIs. Quantitative data analysis was completed through the use of the Statistical Analysis Software (SAS) program. Descriptive statistics and frequency distributions were completed for each variable to become familiar with the data. Since this is a cohort study, incidence rates and measures of association, such as the relative risk, were completed. Tests of statistical significance were also calculated. Study findings indicate that l5 - 24 year old women, in Manitoba with documented infections of genital...
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".