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Bortezomib Continues Demonstrates Superior Efficacy Compared with High-Dose Dexamethasone in Relapsed Multiple Myeloma: Updated Results of the APEX Trail.

2005· article· en· W2563483539 on OpenAlexaff
Paul G. Richardson, Pieter Sonneveld, M. Schuster, David Irwin, Edward A. Stadtmauer, Thierry Façon, Jean‐Luc Harousseau, Dina Ben‐Yehuda, Sagar Lonial, Hartmut Goldschmidt, Donna Reece, Jesús F. San Miguel, Joan Bladé, Mario Boccadoro, James D. Cavenagh, William S. Dalton, Anthony Boral, David P. Schenkein, Kenneth C. Anderson

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsBortezomibMedicineMultiple myelomaDexamethasoneInternal medicineClinical endpointAdverse effectProgressive diseaseSurgeryRefractory (planetary science)GastroenterologyClinical trialChemotherapy

Abstract

fetched live from OpenAlex

Abstract Introduction: In the international, multicenter phase 3 APEX trial, 669 patients (pts) with multiple myeloma (MM) who had relapsed after 1–3 prior therapies were randomized to receive bortezomib (VELCADE®) 1.3 mg/m2 IV d 1, 4, 8, 11 q3wk for 8 cycles followed by 3 cycles on d 1, 8, 15, 22 q5wk, or dexamethasone (Dex) 40 mg PO d 1–4, 9–12, 17–20 q5wk for 4 cycles followed by 5 cycles on d 1–4 q4wk. Pts refractory to Dex were excluded, and those with progressive disease on Dex were eligible to cross over to bortezomib. Pts receiving bortezomib achieved significant improvement in time to progression (TTP, primary end point), response rate (CR + PR using EBMT criteria), and survival (Richardson. NEJM.2005;352:2487), which resulted in early closure of the trial. The duration of response (DOR) was longer with bortezomib, and infections ≥ grade 3, time to skeletal events, grade 4 adverse events (AE), serious AE, and discontinuations due to AE were similar in the 2 treatment arms. Methods: In this analysis, updated response rates, time to response (TTR), DOR, survival, and TTP are presented after extended follow-up. A matched-pairs analysis comparing survival and TTP of pts on bortezomib in APEX with those in another trial of MM pts who received bortezomib after Dex will also be presented. Results: 669 pts received a median of 7 cycles of therapy. Based on a median follow-up of 15.8 months, the median TTP, 1-year and overall survival (OS), response rates, median TTR, and median DOR for pts receiving bortezomib are shown in the table. Median duration of therapy for responders (CR + PR) was 7.2 months. Improved response with longer therapy (after cycle 6) was observed in 76 pts (56% of responders) in the bortezomib arm (20 pts improved from MR or PR to CR, and 56 pts improved from MR to PR). Furthermore, 28 of 135 responders (21%) achieved first response (CR/PR) after cycle 4, including 18 pts (13%) on or after cycle 6, and 10 pts (7%) on or after cycle 8. OS increased substantially with more follow-up. Median TTR was more rapid, and median DOR was longer in pts achieving CR and near CR than in those with PR. Conclusion: Updated TTP, response rates, survival, TTR, and DOR for the bortezomib group continue to support the findings of the original analysis. Thus, the clinical benefits of single-agent bortezomib in pts with relapsed MM remain robust after extended follow-up, supporting its early use in relapsed MM and its further study in the treatment of newly diagnosed disease. Efficacy Bortezomib (n = 333) Median TTP, mo 6.2 1-year survival, % 80 Median OS, mo 25.4 Response rate, % (n/N) 43 (135/315) CR 9 (27/315) PR 34 (108/315) -near CR 7 (21/315) Median TTR, mo (range) 1.4 (0.5–6.0) CR 0.8 (0.5–4.0) PR 1.4 (0.5–6.0) -near CR 0.8 (0.6–2.4) Median DOR, mo 7.8 CR 9.9 PR 7.6 -near CR 11.5

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)0.003
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.020
GPT teacher head0.267
Teacher spread0.247 · 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".

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Citations39
Published2005
Admission routes1
Has abstractyes

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