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Abstract PD04-02: Accelerated hypofractionated versus conventional whole breast radiotherapy for localised left-sided breast cancer: the effect on long-term cardiac morbidity

2012· article· en· W1986353792 on OpenAlexaff
EK Chan, Ryan Woods, Shama Virani, Caroline Speers, E. Wai, A. Nichol, McBride Ml, Scott Tyldesley

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsVancouver General HospitalBC Cancer Agency
Fundersnot available
KeywordsMedicineBreast cancerRadiation therapyPopulationDiabetes mellitusCumulative incidenceCancerInternal medicineStage (stratigraphy)Incidence (geometry)OncologyCohort

Abstract

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Abstract PURPOSE: Equivalent long-term outcomes have been demonstrated between conventional whole breast radiotherapy (CWBRT) and accelerated hypofractionated whole breast radiotherapy (AWBRT) for early-stage breast cancer. However, there is ongoing concern regarding the long-term risk of cardiac injury with AWBRT in women with left-sided breast cancer. The primary goal of this population-based study was to determine whether there was an increase in cardiac morbidity with AWBRT versus CWBRT based on hospital administrative data. MATERIALS AND METHODS: Between 1990 and 1998, 2706 women, aged less than 80 years with left-sided early-stage breast cancer were treated with post-operative radiotherapy (RT) to the breast or chest wall alone. Baseline patient, tumour and treatment factors were recorded in a provincial outcomes database, linked to hospital administrative databases and de-identified. Data from hospitalization records two years prior to RT were used to identify baseline cardiac risk factors (including hypertension (HTN), diabetes, hypercholesterolemia and prior cardiac events) and other comorbidities. There was a policy of using CWBRT for women with breast and chest wall radiotherapy planning separations of >23cm, so a propensity-score model was developed to balance cardiac and breast cancer risk factors between women who received AWBRT (42.5–44 Gy/16 fractions) versus CWBRT (45–50 Gy/25 fractions). The first event of a hospital admission for cardiac causes after RT was determined from hospitalization records. Cumulative incidence of cardiac morbidity was estimated at 10 years after RT for AWBRT versus CWBRT groups. Gray's test was used to test for differences in the cumulative incidence curves between the AWBRT and CWBRT groups. RESULTS: The median follow-up [range] was 13.2 [10–28] years. 485 women were treated with CWBRT and 2221 women were treated with AWBRT. The CWBRT group had a higher prevalence of diabetes, with a trend towards higher prevalence of HTN and other cardiac risk factors. Age, year of diagnosis, stage, grade, ER status, hormone and chemotherapy use were not statistically different between the RT groups. There was no statistically significant difference at 10 years in the incidence rate (as measured by first hospitalisation for cardiac morbidity) between the RT groups. The 10-year cumulative incidence of these hospitalization events for cardiac morbidity (95% CI) was 20.8% (19.1–22.5) with AWBRT and 22.1% (18.5–25.9) with CWBRT. This difference was not significant between raw unadjusted values (p = 0.07) or after propensity score adjustment with Gray's test (p = 0.2). Differences were also not statistically different at 15 years follow-up. These values are comparable with published long-term cardiac morbidity rates with CWBRT. Mortality due to cardiac cause was not statistically different between the two groups at 15 years follow-up. CONCLUSION: Hospitalization for a primary or contributing cardiac cause at 15 years follow-up was not significantly different between women with left-sided early-stage breast cancer treated with AWBRT versus CWBRT even after correcting for pretreatment cardiac risk factors and events. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr PD04-02.

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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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.068
GPT teacher head0.406
Teacher spread0.338 · 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 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

Citations1
Published2012
Admission routes1
Has abstractyes

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