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Abstract P1-19-36: Exploratory analysis of TreatER+ight; a Canadian prospective real-world observational study in HR+ advanced breast cancer

2020· article· en· W3013585111 on OpenAlexaffabout
Catherine Doyle, Nadia Califaretti, Cristiano Ferrario, Nayyer Iqbal, John Hilton, Theodore A. Vandenberg, Mihaela Mates, Vivian Glenns, Swati Kulkarni, Puneet Bains, Sina Haftchenary, Sabrina R. Perri, Stephen Chia

Bibliographic record

VenueCancer Research · 2020
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsWindsor Regional HospitalNovartis (Canada)BC Cancer AgencyKingston General HospitalOttawa HospitalJewish General HospitalSaskatchewan Cancer AgencyLions Gate HospitalLondon Health Sciences CentreGrand River HospitalQuebec Breast Cancer Foundation
Fundersnot available
KeywordsMedicineInternal medicineObservational studyBreast cancerCombination therapyProspective cohort studyCancerPalbociclibOncologyMetastatic breast cancer

Abstract

fetched live from OpenAlex

Abstract Background: TreatER+ight is the 1st prospective observational study in Canadian HR+ HER2- advanced breast cancer patients currently receiving endocrine therapy (ET) alone or in combination with targeted therapy (TT) (NCT02753686). Methods: This exploratory analysis displays real-world evidence on baseline demographics, treatment patterns, sequencing, and method of access to therapy. More specifically this abstract focuses on treatment decisions around CDK4/6-based therapy at various lines of treatment. At data cut-off of April 1st 2019, 305 patients were enrolled from 24 sites since Mar'16 with 113 patients receiving CDK4/6is at baseline. 300 patients were evaluable for treatment analysis. Results: Baseline CharacteristicsOverall (n=305)CDK4/6 + ET (n=113)Median age, years (range)67 (23 - 92)67 (23-87)ECOG 0,1,2*95, 104, 1941,32, 4Post-menopausal*21468Pre/peri-menopausal*6530Therapy by disease severity at baselineVisceral (n = 196)Bone only (n = 101)CDK4/6 + ET7338ET5941mTOR + ET6421PI3K + ET01Current therapy on the study Overall (N = 300)CDK4/6 + ET113ET100mTOR + ET86 PI3K + ET1Current CDK therapy by line of treatmentAll CDK4/6 (N = 113)First line60Second line38Third line13 Fourth line2Overall treatment patterns by lineFirst-Line (n = 154)Second-Line (n = 111)Third-Line (n = 64)CDK 4/6i + ET855317ET582711mTOR + Exemestane82114Chemo31022Median duration on therapy in months1L2LCDK4/6 + ET8.87 (median follow-up of 9.6 mos)8.77 (median follow-up of 11.6 mos)*Data missing for some patients at the time of this analysis Conclusions: The majority of patients enrolled (66.6%) are receiving combination therapy with the most common treatment being a CDK4/6-based therapy (56.5%). Of the patients receiving CDK4/6 at baseline a majority are receiving this therapy in the 1L (53.1%) and 2L (33.6%), with the median duration on therapy of respectively 8.87 and 8.77 months. For patients receiving CDK4/6 therapy in 1L, the most common 2L treatment is either endocrine therapy single agent and in certain parts of the country everolimus + exemestane. Further sequencing information will be analyzed and shared for this abstract. Citation Format: Catherine Doyle, Nadia Califaretti, Cristiano Ferrario, Nayyer Iqbal, John Hilton, Theodore Vandenberg, Mihaela Mates, Vivian Glenns, Swati Kulkarni, Puneet Bains, Sina Haftchenary, Sabrina Perri, Stephen Chia. Exploratory analysis of TreatER+ight; a Canadian prospective real-world observational study in HR+ advanced 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 P1-19-36.

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)0.005
metaresearch head score (Gemma)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.254

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.210
GPT teacher head0.458
Teacher spread0.249 · 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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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