Randomized Clinical Trial of Zoledronic Acid in Multiple Myeloma Patients Undergoing High-Dose Chemotherapy and Stem-Cell Transplantation
Bibliographic record
Abstract
BACKGROUND: A growing body of evidence is demonstrating that the nitrogen-containing bisphosphonate zoledronic acid (zol) improves clinical outcomes in various cancer settings, including multiple myeloma. Those findings provided the rationale for conducting an open-label randomized controlled phase iii trial to evaluate the effect of zol on overall survival (os) and progression-free survival (pfs) in patients with previously untreated high-risk multiple myeloma. METHODS: The trial randomly assigned 308 adult patients less than 65 years of age with previously untreated symptomatic multiple myeloma (1:1) to receive zol 4 mg intravenously once every 28 days for 24 months (n = 151) or no zol (n = 157). Before autologous stem-cell transplantation (asct), all patients received a high-dose noncytotoxic induction regimen of dexamethasone, all-trans-retinoic acid, and interferon alpha 2b. RESULTS: After a median follow-up of 69.8 months (range: 36.5-96 months), the 10-year pfs (66% vs. 52%, p < 0.001) and os (67% vs. 48%, p < 0.001) rates were significantly higher in treated patients than in control patients. Overall response (77% zol vs. 75% control), complete response (52% vs. 46%), and very good partial response (25% vs. 29%) rates were similar between the groups. Treatment was generally well tolerated, with no reports of renal impairment or osteonecrosis of the jaw. CONCLUSIONS: In symptomatic previously untreated multiple myeloma patients, zol combined with high-dose therapy followed by asct improved os and pfs without appreciable toxicity. These findings provide additional evidence of the meaningful anticancer activity of zol in this patient population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".