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Record W6922632988 · doi:10.1158/1538-7445.am2025-7377

Abstract 7377: Intrauterine device use and ovarian cancer risk among 11 case-control studies and 7 prospective cohort studies

2025· article· en· W6922632988 on OpenAlexaff

Bibliographic record

VenueCancer Research · 2025
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Impact on Reproduction
Canadian institutionsMcGill University
Fundersnot available
KeywordsProspective cohort studyOvarian cancerLogistic regressionCohortOdds ratioCohort studyConfidence intervalEpidemiology

Abstract

fetched live from OpenAlex

Abstract Introduction: Recently, intrauterine device (IUD) use has increased and oral contraceptive (OC) use has decreased. While OC use is known to reduce epithelial ovarian cancer (EOC) risk, previous studies of IUD use and EOC risk have shown inconsistent associations. Here, we examined the association between primarily non-hormonal IUD use and EOC risk by leveraging harmonized individual-level data from 11 case-control studies, 10 in the Ovarian Cancer Association Consortium and the African American Cancer Epidemiology Study, and 7 prospective cohort studies from the Ovarian Cancer Cohort Consortium. Methods: Contraception use was self-reported through questionnaires. Study-specific odds ratios (OR) and 95% confidence intervals (CI) were estimated using unconditional logistic regression (case-control studies) or time varying polytomous logistic regression models (cohort studies), adjusted for age, duration of OC use, parity, and family history of breast or ovarian cancer. Heterogeneity between studies was assessed for case-control and cohort studies separately using Cochran Q. There was no evidence of heterogeneity between studies, thus, data were pooled within each study design. Case-control and cohort pooled results were combined by random effects meta-analysis. Associations were estimated for overall EOC risk and by histotype (high-grade serous, low-grade serous, endometrioid, clear cell, mucinous). Heterogeneity across histotypes was evaluated using a Wald test for case-control and cohort models separately. Results: Among case-control studies, data were pooled for 11, 033 cases and 13, 358 controls. A total of 1, 933 (17.5%) cases reported ever IUD use compared to 2, 656 (19.9%) controls. Among cohort studies, data were pooled for 629, 008 participants with 3, 549 incident cases. A total of 72, 546 (11.5%) participants reported ever IUD use at enrollment. The associations of ever vs. never IUD use and EOC risk were similar in case-control (pooled OR: 0.92; 95% CI: 0.86-0.98) and cohort studies (pooled OR: 1.00; 95% CI: 0.88-1.13). When meta-analyzed, there was a suggestive 5% lower odds of overall EOC among IUD users (OR: 0.94; 95% CI: 0.88-1.01; p-het = 0.26). We observed heterogeneity by histotype in case-control studies (p=0.0001) but not in cohort studies (p=0.77). After meta-analysis, results suggested that IUD use was associated with a lower risk of mucinous (OR: 0.85; 95% CI: 0.73-0.98), clear cell (OR: 0.69; 95% CI: 0.64-0.86), and low grade serous EOC (OR: 0.75; 95% CI: 0.55-1.01). Conclusion: IUD use was not associated with an increased risk of EOC in this analysis of over 12, 000 ovarian cancer cases. Our findings suggest there may be an inverse association between IUD use and risk of mucinous, clear cell, and low grade serous EOC. Analyses are ongoing and will include assessment of effect modification by parity and birth cohort, as well as consideration of timing of IUD use. Citation Format: Jennifer M. Mongiovi, Ana Babic, Allison F. Vitonis, Naoko Sasamoto, Mark K. Townsend, Brett M. Reid, Mollie E. Barnard, Holly R. Harris, Lauren Peres, Britton Trabet, Brooke L. Fridley, Katie M. O'Brien, Anita Koushik, Renee Turzanski Fortner, Jennifer A. Doherty, Joelle M. Schildkraut, Shelley S. Tworoger, Kathryn L. Terry, Ovarian Cancer Association Consortium, Ovarian Cancer Cohort Consortium. Intrauterine device use and ovarian cancer risk among 11 case-control studies and 7 prospective cohort studies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 7377.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.015
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.126
GPT teacher head0.492
Teacher spread0.367 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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