Pelvic inflammatory disease associated with Chlamydia trachomatis but not Mycoplasma genitalium in New Zealand
Bibliographic record
Abstract
UNLABELLED: Background There is a paucity of studies looking at associations between Mycoplasma genitalium and pelvic inflammatory disease (PID). The objectives of this study were to estimate the prevalence of M. genitalium in women attending a sexual health service in New Zealand and secondly to examine for an association of M. genitalium with PID. METHODS: Women consecutively attending the service for a sexual health screen (Chlamydia trachomatis, Neisseria gonorrhoeae and Trichomonas vaginalis) were recruited to establish a baseline prevalence of M. genitalium. An extra cervical swab was taken for the detection of M. genitalium. Recruitment of additional women with a clinical diagnosis of PID continued until a sufficient sample size was obtained to examine the association of PID with M. genitalium. Women in the baseline sample without PID were used as the control group. RESULTS: The control group included 250 women, with M. genitalium diagnosed in 8.7% (95% CI 5.8-12.9%) and C. trachomatis in 9.9% (95% CI 6.8-14.2%). Ninety-one women were recruited with PID; M. genitalium was diagnosed in 9.9% (95% CI 5.3-17.7%) and C. trachomatis in 27.5% (95% CI 19.4-37.4%). Multivariate analysis using clinically relevant variables showed that a diagnosis of C. trachomatis (OR 2.44, 95% CI 1.24-4.81) but not M. genitalium (OR 0.91, 95% CI 0.38-2.20) was significantly associated with a PID diagnosis. CONCLUSIONS: M. genitalium was almost as commonly diagnosed as C. trachomatis in this population. C. trachomatis was the only infection that was significantly associated with PID.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".