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Record W2125222593 · doi:10.1086/368380

Serologic Evidence of Past Infection with<i>Chlamydia trachomatis,</i>in Relation to Ovarian Cancer

2003· article· en· W2125222593 on OpenAlexaff
Roberta B. Ness, Marc T. Goodman, Caixia Shen, Robert C. Brunham

Bibliographic record

VenueThe Journal of Infectious Diseases · 2003
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsBC Centre for Disease ControlUniversity of British Columbia
FundersNational Cancer InstituteNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsChlamydia trachomatisChlamydiaPelvic inflammatory diseaseOvarian cancerSerologyMedicineImmunologyAntibodyTubal factor infertilityPopulationCancerGynecologyBiologyInternal medicineInfertilityPregnancyGenetics

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.354

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.304
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations75
Published2003
Admission routes1
Has abstractyes

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