Serologic Evidence of Past Infection with<i>Chlamydia trachomatis,</i>in Relation to Ovarian Cancer
Bibliographic record
Abstract
Pelvic inflammatory disease has been inconsistently linked with ovarian cancer. We measured antibodies to Chlamydia trachomatis, to chlamydial heat shock protein (CHSP) 60, and to CHSP10, in 117 women with ovarian cancer and in 171 age- and ethnicity-matched population-based control subjects from Oahu, Hawaii. IgG antibodies to serovar D of chlamydia elementary bodies (EB) and IgG antibodies to CHSP60-1, CHSP60-2, CHSP60-3, and CHSP10 were detected using an ELISA assay. The probability of having ovarian cancer was 90% greater in women with the highest, compared with the lowest (optical density, >or =0.40 vs. <0.10), levels of chlamydia-EB antibodies (P=.05). There was also a monotonic trend (P=.09) in ovarian cancer risk associated with CHSP60-1 but not with CHSP60-2, CHSP60-3, or CHSP10. These data suggest that past or chronic persistent infection with chlamydia may be a risk factor for ovarian cancer.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".