Predictors of Gonorrhea Reinfection in a Cohort of Sexually Transmitted Disease Patients in Alberta, Canada, 1991–2003
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to identify characteristics associated with reinfection in sexually transmitted disease (STD) patients in Alberta, Canada. METHODS: A retrospective cohort of 5,701 STD patients with gonorrhea diagnosed between 1991 and 2003 were followed for incident gonorrhea. Rates of reinfection were estimated and multivariate logistic regression was used to identify patient characteristics associated with reinfection. RESULTS: There were 568 reinfections in 460 individuals, with reinfection occurring at a median of 9.2 months with an incidence rate of 2.34 per 100 person-years (95% confidence interval [CI], 2.09-2.59). The highest risk of reinfection was found in patients of black ethnicity (adjusted hazard ratio [aHR], 3.31; 95% CI, 2.27-4.81), aboriginal ethnicity (aHR, 2.64; 95% CI, 1.96-3.56), those reporting homo-/bisexual practice (aHR, 2.05; 95% CI, 1.40-3.02), or treated at an STD clinic (aHR, 1.49; 95% CI, 1.15-1.94). CONCLUSION: The recognition of key demographic and behavioral characteristics can help focus interventions for patients at higher risk of gonorrhea reinfection.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".