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A randomized, open-label, multicentre, phase IV study evaluating palbociclib plus endocrine treatment versus a chemotherapy based treatment strategy in patients with hormone receptor positive/HER2-negative metastatic breast cancer in a real world setting.

2017· article· en· W2622248187 on OpenAlexaboutno aff
Sibylle Loibl, Jana Barinoff, Sabine Seiler, Thomas Decker, Carsten Denkert, Kristina Luebbe, Jenny Furlanetto, Volkmar Müller, Christoph Mundhenke, Marcus Schmidt, Gϋnter von Minckwitz, Mathias Uhlig, Nicole Burchardi, Marc Thill

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMetastatic breast cancerDiscontinuationPalbociclibInternal medicineChemotherapyBreast cancerOncologyClinical endpointCancerClinical trialSurgery

Abstract

fetched live from OpenAlex

TPS1115 Background: Although endocrine based therapy is recommended as first-line treatment in metastatic breast cancer (MBC) in patients with an HER2-/HR+ tumour up to 50% of the patients receive chemotherapy. Palbociclib (P) a CDK4/6 inhibitor improves PFS by 42% in endocrine sensitive and resistant HER2-/HR+ MBC when added to an endocrine therapy (ET). Patients included in clinical trials are often criticised not to be representative for real world breast cancer patients. Methods: Patients with first-line HER2-/HR+ MBC who are candidate for mono-chemotherapy will be eligible to be randomised 1:1 to receive either P plus ET per label or mono-chemotherapy per investigator´s choice with or without maintenance ET. In both study arms, treatment will be given until disease progression, unacceptable toxicity, withdrawal of consent of the patient or change of initial treatment plan (either planned six chemotherapy cycles followed by maintenance ET or chemotherapy until disease progression). Primary objective is to compare the time-to-treatment failure (TTF), defined as time from randomization to discontinuation of treatment for any reason, including disease progression, treatment toxicity and death. Secondary objectives are progression free survival, overall survival at 36 months, amongst other time to event endpoints; investigator assessed overall clinical response; toxicity and compliance; patient well-being and health care utilization by daily monitoring treatment impact. Aim: 360 patients will be accrued to show an improved TTF for P in combination with ET. Recruitment will start in QII/2017 and is planned for approximately 18 months in 100 sites in Germany, Spain, Poland, Italy, France, UK and Canada. Conclusions: The aim of the trial is to demonstrate that an endocrine based strategy consisting of ET plus P is superior to a chemotherapy based strategy as first-line therapy in women with HER2-/HR+ breast cancer in a real world setting.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0120.002

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 head0.179
GPT teacher head0.542
Teacher spread0.363 · 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 designRandomized trial
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

Citations0
Published2017
Admission routes1
Has abstractyes

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