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Quality of life (QOL) improvements for pomalidomide plus low-dose dexamethasone (POM + LoDEX) in relapsed and refractory multiple myeloma (RRMM) patients (pts) enrolled in MM-003.

2013· article· en· W2521802479 on OpenAlexaff
Kevin Song, Meletios Α. Dimopoulos, Katja Weisel, Philippe Moreau, Martha Q. Lacy, Michel Delforge, Lionel Karlin, Hartmut Goldschmidt, Anne Banos, Albert Oriol Rocafiguera, Stacie Hudgens, Zhinuan Yu, Lars Sternås, Christian Jacques, Mohamed H. Zaki, Jesús F. San Miguel

Bibliographic record

VenueJournal of Clinical Oncology · 2013
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsVancouver General Hospital
Fundersnot available
KeywordsMedicinePomalidomidePopulationQuality of life (healthcare)Multiple myelomaInternal medicineLenalidomideEnvironmental health

Abstract

fetched live from OpenAlex

8583 Background: Poor prognosis and therapy exhaustion have been associated with reduced QOL in RRMM. In MM-003, a randomized, multicenter, open-label phase 3 trial, POM + LoDEX (n = 302) significantly improved progression-free and overall survival vs. high-dose dexamethasone (HiDEX; n = 153) in pts who failed lenalidomide (LEN) and bortezomib (BORT) and progressed on their last therapy. This analysis evaluated QOL changes in these pts. Methods: To assess pt-reported outcomes, cross-sectional and longitudinal analyses were performed. Minimal important differences for 5 clinically relevant EORTC QLQ-C30 domains (Global Health Status, Physical Functioning, Fatigue, Emotional Functioning, and Pain) were calculated as meaningful change thresholds (1 standard error of measurement) from baseline through cycle (C) 5. Time to QOL worsening was compared between arms using the Kaplan-Meier method. Results: Favorable trends were observed for POM + LoDEX vs. HiDEX in each of the 5 relevant domains. The cross-sectional analysis indicated statistically or marginally significant (P < .10) differences favoring POM + LoDEX in Global Health Status (C2, 4), Physical Function (C2, 3, 4), Emotional Function (C2, 3, 4), and Fatigue (C2) scores. Longitudinal comparisons between arms confirmed the significance of score changes for Global Health Status (C2; P = .01), Physical Functioning (C3 and 4; P = .018 and .028, respectively), Emotional Functioning (C3; P = .018), and Fatigue (C5; P = .008) for POM + LoDEX vs. HiDEX. HiDEX pts exhibited clinically meaningful worsening in Global Health Status and Physical Functioning scores vs. POM + LoDEX by C2 (P = .04) and C3 (P = .02), respectively. POM + LoDEX extended median time to meaningful worsening vs. HiDEX for Global Health Status (114 vs. 85 days, P = .05), Physical Functioning (174 vs. 106 days; P = .09), Fatigue (113 vs. 60 days; P = .02), Emotional Functioning (190 vs. 124 days; P = .04), and Pain (147 vs. 113 days; P = .2). Conclusions: In heavily pretreated pts who failed LEN and BORT, POM + LoDEX resulted in better clinical outcomes as well as improvement in clinically relevant QOL measurements over the course of treatment. Clinical trial information: NCT01311687.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.130
GPT teacher head0.458
Teacher spread0.328 · 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 designNon-randomized 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

Citations3
Published2013
Admission routes1
Has abstractyes

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