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Bortezomib [VELCADE™], Pegylated Liposomal Doxorubicin [DOXIL/CAELYX®] and Dexamethasone in the Treatment of Previously Untreated Multiple Myeloma Patients: Impact on Quality-of-Life.

2007· article· en· W2980298754 on OpenAlexaffabout
Andrew R. Belch, Donna Reece, Nizar J. Bahlis, Darrell White, Bruno Bastos Teixeira, Fernando Camacho, Richard K. Plante

Bibliographic record

VenueBlood · 2007
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsNova Scotia Cancer CentreQueen Elizabeth II Health Sciences CentrePrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineBortezomibInternal medicineQuality of life (healthcare)Multiple myelomaCancerOncologyGastroenterologySurgery

Abstract

fetched live from OpenAlex

Abstract Introduction: Bortezomib in combination with liposomal doxorubicin has shown convincing activity as induction therapy in frontline multiple myeloma (MM) patients with CR rates exceeding those seen with conventional induction therapy. The impact of this treatment on patient Quality-of-Life (QOL), determined by overall health status, cancer and neurotoxicity specific questionnaires, is of clinical interest. Methods: Newly diagnosed Autologous Stem Cell Transplant (ASCT) eligible MM patients were recruited from nine centres across Canada to this single-arm, open-label, Phase II study. Patients received three to four 21-day cycles of DBd induction therapy (bortezomib 1.3mg/m2 days 1, 4, 8, 11 + pegylated liposomal doxorubicin 30 mg/m2 day 4 + pulsed dexamethasone 40mg days 1–4, 8–11, 15–18 Cycle 1 and days 1–4 cycles 2–4), depending on rapidity of CR achieved, and were then followed post ASCT. Patients completed the European Quality of Life Questionnaire (EQ-5D), the European Organization for Research and Treatment of Cancer’s 30-item Quality of Life Questionnaire (EORTC QLQ-C30) and the Functional Assessment of Cancer Therapy/Gynecologic Oncology Group-Neurotoxicity questionnaire (FACT/GOG-Ntx) prior to each cycle and at study termination. Results: Fifty patients were enrolled to fulfill the sample size requirement. Mean age was 56.0 (±8.7) years, and 68% of patients were male. Sixty-five percent of the patients had Stage III disease and all but two patients had secretory disease. Mean baseline β2-microglobulin level was 4.2 (1.5–25.4) mg/mL. Overall best response post-induction was 98% (≥ Minimal Response), with a corresponding 26.8% combined complete response (CR) + near CR rate. There was no significant change in the total EQ-5D score throughout the study when compared to baseline. There was a significant improvement at end of study in the mean EQ-5D VAS self-rated health status (Δ+5.14, p<0.05) compared to baseline. Although not significant, there was a trend towards an increase in the proportion of patients reporting no problem in the mobility and anxiety/depression EQ-5D dimensions over the course of induction therapy. There were also no significant changes observed in the EORTC QLQ-C30 scores. Throughout the study, the FACT/GOG-Ntx scores showed no statistically significant changes over time from baseline, in agreement with the overall clinical safety profile observed. The largest mean score change from baseline was at the end-of-study time point (Δ+1.79, SD±6.07, p=0.06). Conclusion: Although this study was not powered to detect changes in QOL, preliminary results indicate that there is a trend towards improvement in QOL outcomes in multiple myeloma patients being treated with the DBd induction regimen. These results corroborate the safety and tolerability profile observed in the study.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.346
Teacher spread0.308 · 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 designObservational
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

Citations10
Published2007
Admission routes2
Has abstractyes

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