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Abstract P1-07-10: Increasing population rates of in-situ breast cancer [DCIS] are associated with reduced breast cancer (BrCa) mortality. A case for screening mammography and "overdiagnosis" linked to outcome benefits

2016· article· en· W2398393048 on OpenAlexaffabout
Joseph Ragaz, Haibin Qian, Shayan Shakeraneh, John Fox, Wilson Ks, Simpson Js, H.S. Wong

Bibliographic record

VenueCancer Research · 2016
Typearticle
Languageen
FieldMedicine
TopicCancer Risks and Factors
Canadian institutionsSt. Paul's HospitalUniversity of TorontoUniversity of British ColumbiaCentre for Advancing Health OutcomesSt. Michael's HospitalProvidence Health CareBC Cancer AgencyUniversity of British Columbia Hospital
Fundersnot available
KeywordsOverdiagnosisMedicineCancer registryDemographyBreast cancerPopulationMammographyCancerGynecologyCohortIncidence (geometry)Internal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Abstract INTRODUCTION: Following the first phase of this project [Ref 1], we correlate here the rates of DCIS with BrCaMOR, in two regions of Canada - British Columbia [BC] and Atlantic Provinces [Atl.P]. We previously reported higher compliance in screening mammography [ScreenMam] and therapeutic [TH*] guidelines [GUIDELINES] for both DCIS and invasive BrCa in BC compared with Atl.P [Ref. 2]. METHODS: Annual age-specific rates [cases / 100,000 population] of DCIS, and BrCaMOR between BC vs Atl.P, were obtained for 17 age groups of 5 years (years 0-4 to 85+) and averaged each 5-year period from 1975-1979 up to 2005-2009. To compare age distribution, DCIS rates and BrCaMOR between the two regions, we selected four birth cohorts, age 30-34, 35-39, 40-44 and 45-49 in 1975-1979. From those, we tabulated the DCIS incidence and BrCaMOR for each birth cohort when they reached ages 50-54 and 60-64. We assumed that the rates of DCIS reflect annual ScreenMam practices. Data were obtained from the Public Health Agency of Canada based on the Canadian Cancer Registry database at Statistics Canada. RESULTS [N/100,000 population]British ColumbiaAtlantic ProvincesAge / years DCISBrCaMORDCISBrCaMORAge 50 â– 54 1980-8413.152.24.056.41985-8921.246.68.056.11990â–9429.244.421.449.91995â–9945.543.830.050.1Age 60â – 64 1990-9428.072.123.186.21995-9949.361.935.276.62000-0449.365.845.669.42005â–0951.453.141.059.4 CONCLUSIONS: 1. Our study shows across all age cohorts higher rates of DCIS and lower BrCaMOR in BC compared to Atl.P - results consistent with higher ScreenMam rates in BC than Atl.P. 2. These data are compatible with the concept that a higher diagnostic rate for early lesions such as DCIS [i.e. frequently designated as "Overdiagnosis"] by ScreenMam, and subsequent earlier Guideline TH*, contributes to lower BrCaMOR. *TH Guidelines: surgery, radiation, Tamoxifen for DCIS; and the same + chemotherapy for early invasive disease. Citation Format: Ragaz J, Qian H, Shakeraneh S, Fox J, Wilson KS, Simpson JS, Yoon J-Y, Wong H. Increasing population rates of in-situ breast cancer [DCIS] are associated with reduced breast cancer (BrCa) mortality. A case for screening mammography and "overdiagnosis" linked to outcome benefits. [abstract]. In: Proceedings of the Thirty-Eighth Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2015 Dec 8-12; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2016;76(4 Suppl):Abstract nr P1-07-10. References: 1. J. Ragaz, H. Wong, H. Qian, J.Fox, K. Wilson, A. Coldman: Cancer Research, May 1, 2015 75; P3-07-28 2. J. Ragaz, H. Wong, H. Qian: Cancer Research Feb 2010; 69(24 Supplement):2063-2063.

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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)0.000
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 score0.043
Threshold uncertainty score0.949

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.135
GPT teacher head0.435
Teacher spread0.301 · 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
Published2016
Admission routes2
Has abstractyes

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