MétaCan
Menu
Back to cohort
Record W2549115354 · doi:10.1093/neuonc/now260

LTBK-01: PROSPECTIVE, MULTI-CENTER PHASE III TRIAL OF TUMOR TREATING FIELDS TOGETHER WITH TEMOZOLOMIDE COMPARED TO TEMOZOLOMIDE ALONE IN PATIENTS WITH NEWLY DIAGNOSED GLIOBLASTOMA

2016· article· en· W2549115354 on OpenAlexaff
Roger Stupp, Ahmed Idbaïh, David M. Steinberg, William L. Read, Steven A. Toms, Gene H. Barnett, Garth Nicholas, Chae‐Yong Kim, Karen Fink, Andrea Salmaggi, Frank S. Lieberman, Jay Zhu, Lynne P. Taylor, Giuseppe Stragliotto, Andreas F. Hottinger, Eilon D. Kirson, Uri Weinberg, Yoram Palti, Monika E. Hegi, Zvi Ram

Bibliographic record

VenueNeuro-Oncology · 2016
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsTemozolomideGlioblastomaMedicineOncologyInternal medicineCenter (category theory)Cancer research

Abstract

fetched live from OpenAlex

Tumor Treating Fields (TTFields) is an established, frequency-tuned, anti-mitotic, physical treatment modality that acts in metaphase, anaphase and telophase. TTFields are delivered to the brain by a patient operated, portable medical device (Optune™, Novocure Ltd.). An international, multicenter, prospective, randomized phase 3 trial (EF-14) was initiated in 2009 to test the efficacy and safety of combining TTFields with temozlomide (TMZ) compared to TMZ alone following radiation therapy with adjuvant TMZ in patients with newly diagnosed GBM. Results of a protocol pre-specified successful interim analysis on the first 315 patients randomized has been reported (Stupp et al. JAMA 2015). Here we report the main outcomes of all 695 patients enrolled with a mature minimum follow-up of 18 month (median follow-up 36 months) for all patients (Range 19–80 months). Within 7 weeks after the end of TMZ/RT and stratification for extent of resection and MGMT status patients were randomized (at a 1:2 ratio) to either standard adjuvant TMZ alone (150–200 mg/m2/d x 5d) or TMZ and continuous administration of TTFields. Eligible patients had a newly diagnosed GBM, non-progressive after concomitant chemoradiotherapy, a performance status of ≥70%, and adequate hematological, liver and renal function. The primary endpoint of the study is progression free survival (PFS) as determined by blinded central radiology review; overall survival (OS) is a powered secondary endpoint. A total of 695 patients were randomized from 7/2009 – 11/2014. Patient characteristics are balanced, median age was 56 years (range 19–83), 87 % had undergone prior tumor resection and 13 % a biopsy only. 37% of tumors were MGMT methylated. Median time from end of radiotherapy to randomization was 37 days. The median number of adjuvant (maintenance) TMZ cycles 6 and 5 cycles, for TTFields/TMZ and TMZ alone, respectively. All analyses are intent-to-treat. The median progression-free survival was 6.7 months (95%CI 6.1–8.1) for the patients treated with TTFields/TMZ versus 4.0 months (CI 3.8 – 4.3) for TMZ alone (hazard ratio 0.63, p<0.00005). Median overall survival from randomization is 21 months versus 16 months for the TTFields/TMZ and TMZ alone, respectively, with a hazard ratio of 0.65 (CI 0.54–0.79), p<0.00062. The respective 2, 3 and 4-year survival rates are 43% (CI 38–47%) and 30% (CI 24–37), 24% (CI 19–29) and 16% (CI 11–23), 17% (CI 13–23) and 10% (CI 6–18); p<0.05 for all time points. This first and mature analysis of the full cohort of all randomized patients confirms and improves upon the superior results of TTFields/TMZ compared to TMZ alone seen in the trial’s interim analysis. The addition of TTFields to maintenance TMZ significantly extends both median and long term survival of patients with glioblastoma. The magnitude of survival benefit seen is equivalent to that seen for addition of TMZ to radiation which established TMZ as the standard of care for 1st line glioblastoma over a decade ago.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.920

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.289
Teacher spread0.274 · 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 teacher head, 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

Citations27
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueNeuro-OncologySame topicGlioma Diagnosis and TreatmentFrench-language works237,207