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Abstract P2-08-08: A population-based study examining the epidemiology, treatment patterns and resource utilization by stage in Ontario patients with triple negative breast cancer

2020· article· en· W4243678380 on OpenAlexaffabout
Christine Brezden‐Masley, Kelly E. Fathers, Megan Coombes, Cloris Xue, Behin Pourmirza, Katarzyna J. Jerzak

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicMultiple and Secondary Primary Cancers
Canadian institutionsRoche (Canada)Sunnybrook Health Science CentreMount Sinai Hospital
Fundersnot available
KeywordsMedicineTriple-negative breast cancerStage (stratigraphy)Breast cancerPopulationIncidence (geometry)Health careCancer registryEpidemiologyCancerDiseaseInternal medicineOncologyEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Background: There is limited current data on the incidence, clinical characteristics, treatment patterns, and resource utilization in breast cancer patients with a triple negative (TNBC) clinical phenotype (ER-/PR-/HER2-). Moreover, no prior publications have detailed the differences in resource use according to TNBC stage in a publicly funded healthcare setting. Methods: We retrospectively collected data for women aged 18-105 years, residing in Ontario, utilizing the public healthcare system, and diagnosed with invasive BC from Apr 1, 2012 to Mar 31, 2016. Data were extracted from datasets housed by the Institute for Clinical Evaluative Sciences. Women with triple negative pathology were identified and baseline clinical characteristics, treatment patterns, and healthcare resource utilization were descriptively compared between stage I-III and stage IV sub-cohorts. Outcomes assessed included 5-year overall survival (OS) rate by stage. Patients alive/lost to follow-up at the end of the study period (Mar 31, 2017) were censored. Unit costs (2017 CAD $) for publicly funded healthcare services were multiplied by resources used in order to calculate the total and annual health system-related costs. Results: In total, 3,271 women were identified as having TNBC; 3,081 with stage I-III and 190 with stage IV disease at diagnosis. Patients with metastatic TNBC tended to be older (63.9 ± 15.7 years) compared to those with stage I-III disease (58.8 ± 14.4 years). With a median follow-up of 34.5, 32.7, 26.2 and 8.9 mos, 5-year OS rates were 93.3%, 78.9%, 47.2% and 7.4% for stage I, II, III, and IV, respectively. Surgery was the most common treatment modality among patients with stage I-III (n=2,979, 96.7%) and least common in those with stage IV (n=16, 8.4%) disease. Among patients treated with upfront surgery for early stage disease (n=2,419, 81.2%), 1,890 (78.1%) received adjuvant systemic therapy (AT) with a median time from surgery to treatment of 45 days (IQR: 35,62). The remaining 560 patients (18.8%) with stage I-III disease received neo-AT starting a median of 28 days (IQR: 21,39) after diagnosis, with 221 (39.5%) also receiving AT. In total, 2,341 (76.0%) of patients with stage I-III BC received radiation. Among patients with metastatic TNBC, 138 (72.6%) received systemic therapy and 109 (57.4%) were treated with radiotherapy. Annual mean healthcare cost per person was $35,063.96 for stage I-III and $140,160.23 for stage IV TNBC. In both early and metastatic TNBC, cancer clinic visits, in-patient hospitalization, and professional fees were the main contributors to healthcare costs whereas pharmaceutical, home care, day surgery and continuing care contributed <10% each to the total annual expenses. Conclusions: Characteristics and clinical outcomes were as expected for our Ontario-based population of women with TNBC. Our data highlights room for improvement related to wait times for surgery and initiation of systemic therapy in patients with early stage TNBC; an important endeavour considering the aggressiveness of this disease. Despite receiving fewer treatment interventions (surgery, pharmacologic and/or radiation), patients with stage IV TNBC incurred more healthcare costs per person than those with earlier stage disease. These data illustrate the treatment patterns and resource utilization for women with TNBC in Ontario and highlight opportunities to improve their outcomes. Citation Format: Christine Brezden-Masley, Kelly Elizabeth Fathers, Megan Coombes, Cloris Xue, Behin Pourmirza, Katarzyna J. Jerzak. A population-based study examining the epidemiology, treatment patterns and resource utilization by stage in Ontario patients with triple negative breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P2-08-08.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.204
GPT teacher head0.404
Teacher spread0.201 · 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.

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
Published2020
Admission routes2
Has abstractyes

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