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Quality of life (QoL) in patients (pts) with locally advanced or metastatic breast cancer (MBC) previously treated with anthracyclines and taxanes who received eribulin mesylate or capecitabine: A phase III, open-label, randomized study.

2013· article· en· W3011242490 on OpenAlexaff
Javier Cortés, Ahmad Awada, Peter A. Kaufman, Louise Yelle, Edith A. Perez, Galina Velikova, J. Wanders, Martin Olivo, Yi He, Corina E. Dutcus, W. Robert Simons, Christopher Twelves

Bibliographic record

VenueJournal of Clinical Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineEribulinCapecitabineInternal medicineMetastatic breast cancerClinical endpointTaxaneQuality of life (healthcare)AnthracyclineBreast cancerAdverse effectOncologyPhases of clinical researchProgression-free survivalCancerClinical trialChemotherapy

Abstract

fetched live from OpenAlex

1050^ Background: In a phase III trial comparing eribulin (E) vs. capecitabine (C) in pts with locally advanced or MBC, a trend for improved OS was observed but a statistically significant superiority was not demonstrated with E vs. C for OS or PFS. The AE profiles were consistent with known side effects. We now report QoL results from this trial. Methods: Pts received eribulin mesylate 1.4 mg/m2 on Days 1 and 8, or C 1.25 g/m2 BID orally on Days 1-14, of a 21-day cycle. Eligible pts had received prior therapy including an anthracycline and taxane, and were receiving study drug as 1st-, 2nd-, or 3rd-line therapy for advanced disease. QoL, a secondary objective, was assessed using EORTC QLQ-C30 and QLQ-BR23 questionnaires at baseline, 6 weeks, 3, 6, 12, 18, and 24 months after starting treatment (or until progressive disease or treatment change), and at unscheduled visits. Longitudinal analyses were carried out using weighted generalized estimating equations adjusted for non-random attrition due to death within 12 months. Model covariates were time (visit), region, and baseline QoL. The primary endpoint was change from baseline for Global Health Status (GHS)/overall QoL; exploratory endpoints were change from baseline for each functional domain, and signs/symptoms. Results: 1,102 pts were randomized (E 554; C 548). GHS/QoL scores were low at baseline for E (56.3) and C (54.7) on a scale of 0 (worse) to 100 (best). GHS/QoL and cognitive functioning improved significantly more in pts receiving E vs. C, (6.5 [p=0.048] and 15.3 [p<0.001], respectively). Emotional functioning improved significantly for pts receiving C vs. E (3.3; p=0.033). Pain was comparable at baseline, and was lower at subsequent visits with both treatments. Patient-reported signs/symptoms in favor of E included nausea and vomiting (E1.9; p=0.043) and diarrhea (-3.7; p=0.001); systemic side effects (5.2; p<0.001) and upset by hair loss (9.3; p=0.023) favored C. Conclusions: GHS/QoL scores improved more in pts receiving E than C. E showed advantages in terms of gastrointestinal effects while C had advantages in relation to hair loss. Clinical trial information: NCT00337103.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.124
GPT teacher head0.508
Teacher spread0.384 · 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

Citations5
Published2013
Admission routes1
Has abstractyes

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