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Progression-free survival (PFS) and health-related quality of life (HRQoL) in AVAglio, a phase III study of bevacizumab (Bv), temozolomide (T), and radiotherapy (RT) in newly diagnosed glioblastoma (GBM).

2013· article· en· W2777288228 on OpenAlexaff
Roger Henriksson, Andrew Bottomley, Warren Mason, Frank Saran, Wolfgang Wick, Ryo Nishikawa, Timothy F. Cloughesy, Alain Carpentier, Khê Hoang‐Xuan, Petr Kavan, Dana Cernea, Alba A. Brandes, Magalie Hilton, Ana Maria Abajo Guijarro, Arliene Ravelo, Olivier Chinot

Bibliographic record

VenueJournal of Clinical Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsMcGill UniversityPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineTemozolomideInternal medicineBevacizumabClinical endpointDiscontinuationQuality of life (healthcare)PlaceboProgression-free survivalToxicityOncologyGastroenterologyRadiation therapyRandomized controlled trialSurgeryChemotherapyPathology

Abstract

fetched live from OpenAlex

2005^ Background: GBM has a high disease burden and poor prognosis, and impacts negatively on HRQoL. Symptomatic therapies for GBM, such as corticosteroids (CS), may impact patient status negatively Methods: AVAglio, a randomized, double-blind, placebo (P)-controlled trial in patients (pts) ≥18 yrs with newly diagnosed GBM, evaluated the addition of Bv or P (10mg/kg, q2w) to 6 wks of T (75mg/m2/d) + RT (2Gy, 5d/wk) followed by 28 treatment-free days, then 6 cycles of T (150–200 mg/m2/d, 5d q4w) with Bv or P (10 mg/kg, q2w), and then single-agent Bv or P (15 mg/kg, q3w) until disease progression (PD)/unacceptable toxicity. Co-primary endpoints were investigator-assessed PFS and overall survival. Secondary endpoints included HRQoL (EORTC QLQ-C30 and BN20, with 5 prespecified domains based on relevance in GBM). HRQoL time to definitive deterioration (TDD) was defined as time from randomization to ≥10 point deterioration from baseline with no subsequent improvement, PD, or death. Exploratory endpoints included KPS and CS use. Results: Baseline characteristics were well balanced. Bv significantly prolonged PFS (HR 0.64, 95% CI 0.55–0.74, p<0.0001; median 10.6 vs 6.2 mo) and delayed TDD in HRQoL compared with P (p<0.0001; Table). Functional independence (KPS ≥ 70%) was maintained during PFS in both arms (median Bv vs P: 9 vs 6 mo). Among pts on CS (≥ 2mg) at baseline, discontinuation (≥ 5 consecutive days) was more frequent with Bv than P (66% vs 47%). In pts off CS at baseline (< 2mg), time to CS initiation was significantly longer with Bv than P (HR 0.71, 95% CI 0.57–0.88; median 12.3 vs 3.7 mo). Conclusions: Addition of Bv to RT/T provided a clinically meaningful and statistically significant PFS improvement associated with stable/improved HRQoL and KPS, and reduced CS requirement. Clinical trial information: NCT00943826. [Table: see text]

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)0.002
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 score0.004
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.004
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 head0.114
GPT teacher head0.484
Teacher spread0.370 · 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

Citations36
Published2013
Admission routes1
Has abstractyes

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