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Record W3049532301 · doi:10.2217/fon-2020-0573

POLARIS: a Prospective, Multicenter, Noninterventional Study Assessing Palbociclib in Hormone Receptor-Positive Advanced Breast Cancer

2020· article· en· W3049532301 on OpenAlexaboutno aff
Debasish Tripathy, Joanne L. Blum, Gabrielle B. Rocque, Aditya Bardia, Meghan Karuturi, Joseph C. Cappelleri, Yuan Liu, Zhe Zhang, Keith L. Davis, Yao Wang

Bibliographic record

VenueFuture Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicAdvanced Breast Cancer Therapies
Canadian institutionsnot available
FundersPfizer
KeywordsPalbociclibMedicineMetastatic breast cancerOncologyInternal medicineClinical trialBreast cancerHormone receptorCancerClinical PracticeGynecologyFamily medicine

Abstract

fetched live from OpenAlex

This report describes the rationale, purpose and design of the POLARIS study. POLARIS is an ongoing noninterventional, prospective, multicenter study. Female and male patients in the USA and Canada diagnosed with hormone receptor-positive/HER2-negative metastatic breast cancer were enrolled in the study and treated with the cyclin-dependent kinase 4/6 inhibitor palbociclib when hormone receptor-positive/HER2-negative metastatic breast cancer was deemed to be indicated by their physician. The study will provide real-world data on palbociclib prescribing and treatment patterns in routine clinical practice, associated clinical outcomes, treatment sequencing in the advanced/metastatic setting, patient quality of life and geriatric-specific assessments. The tumor genomic landscape in relation to clinical outcomes will be explored. POLARIS will identify benefits and side effects of palbociclib across multiple lines of therapy and in discrete subsets of patients. Clinical Trial Registration: NCT03280303 (ClinicalTrials.gov).

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)0.003
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 score0.006
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.015
GPT teacher head0.351
Teacher spread0.336 · 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

Citations18
Published2020
Admission routes1
Has abstractyes

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