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Abstract IA016: Opportunistic salpingectomy for ovarian cancer prevention

2024· article· en· W4392383296 on OpenAlexaffabout
Gillian E. Hanley

Bibliographic record

VenueCancer Research · 2024
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsOvarian cancerMedicineSalpingectomyCancerGynecologyOncologyInternal medicineBiologyPregnancyGenetics

Abstract

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Abstract In those at high risk for ovarian cancer, particularly people with a BRCA1/2 mutation, bilateral salpingo-oophorectomy is recommended, which reduces the risk of ovarian or fallopian tube cancers by 80%. However, removal of the ovaries is not recommended for the general population, as it is associated with increased total mortality, coronary heart disease, and osteoporosis. Thus, a different preventive strategy is needed for people at average risk, who make up 80% of cases of HGSCs. The recent understanding that HGSC often originates in the fallopian tube, has led to a primary prevention opportunity for the general population, namely, opportunistic salpingectomy (OS). Opportunistic salpingectomy (OS), the removal of fallopian tubes during hysterectomy or instead of tubal ligation without removal of ovaries, is recommended to prevent ovarian cancer, particularly serous ovarian cancer. This recommendation was made in British Columbia, Canada in 2010 and has been followed by similar recommendations in at least nine other countries worldwide, including the United States. Since the 2010 recommendation in British Columbia, we have used population-based data available in our province to study the safety, cost-effectiveness and most recently, the effectiveness of OS for ovarian cancer prevention. The safety data for OS has been reassuring. HIstorical data have suggested decreased risk among those without fallopian tubes; however, we hypothesized that OS confers more protection than salpingectomies done for diseases that directly impact and distort the fallopian tube, as the intent of OS is complete removal of the fimbriated end of the fallopian tube, which may not occur when salpingectomy is done for other indications. Our recent examination of prospective data of OS in British Columbia revealed of the 25,889 people who had OS (mean age 40.2 years, median follow-up 3.2 years) and 32,080 who had hysterectomy alone or tubal ligation (mean age 38.2 years, median follow-up 7.3 years) during our study period (2008-2017), there were no serous ovarian cancers in the OS group and £5 epithelial ovarian cancers. The age-adjusted expected number was 5.27 (95% CI 1.78, 19.29) serous cancers and 8.68 (95%CI 3.36, 26.58) epithelial ovarian cancers. Age-adjusted expected vs observed numbers of breast (22.1 expected, 23 observed) and colorectal (9.35 expected, 8 observed) cancers were not statistically significant different. Thus, the statistically significantly fewer serous and epithelial ovarian cancers seem to be a result of the OS and not due to unmeasured confounding that reduced cancer risk in general. Future research includes: 1) ensuring that all those eligible for OS are counselled about it; 2) expanding opportunities for OS to include other pelvic surgeries; and 3) targeting risk-reducing salpingectomy to individuals at higher than average lifetime risk for ovarian cancer despite not having a known genetic mutation that increases risk. Through this combination the incidence of ovarian cancer may be reduced in the future. Citation Format: Gillian E. Hanley. Opportunistic salpingectomy for ovarian cancer prevention [abstract]. In: Proceedings of the AACR Special Conference on Ovarian Cancer; 2023 Oct 5-7; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(5 Suppl_2):Abstract nr IA016.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.024
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.004

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 head0.224
GPT teacher head0.506
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes2
Has abstractyes

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