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Record W2377143140 · doi:10.1080/10428194.2016.1180685

Relationship of response and survival in patients with relapsed and refractory multiple myeloma treated with pomalidomide plus low-dose dexamethasone in the MM-003 trial randomized phase III trial (NIMBUS)

2016· article· en· W2377143140 on OpenAlexaff
Philippe Moreau, Katja Weisel, Kevin Song, Craig J. Gibson, O. Saunders, Lars Sternås, Kevin Hong, Mohamed H. Zaki, Meletios Α. Dimopoulos

Bibliographic record

VenueLeukemia & lymphoma/Leukemia and lymphoma · 2016
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsVancouver General HospitalHotel Dieu Hospital
Fundersnot available
KeywordsPomalidomideMedicineDexamethasoneLenalidomideRandomizationMultiple myelomaInternal medicineRefractory (planetary science)GastroenterologyPhases of clinical researchRandomized controlled trialProgressive diseaseSurgeryClinical trialChemotherapy

Abstract

fetched live from OpenAlex

Relapsed/refractory multiple myeloma (RRMM) patients have poor overall survival (OS). Pomalidomide plus low-dose dexamethasone (POM + LoDEX) significantly extends OS in RRMM vs. high-dose dexamethasone. Survival of patients with stable disease (SD) was compared to patients with progressive disease (PD) or ≥ partial response (≥PR) at cycles (C) 3, 5, and 7. Among 302 patients randomized to POM + LoDEX, at C3 19.2% achieved ≥ PR, 38.4% SD, and 14.6% PD. Patients with SD at C3 (17.4%) and C5 (13.6%) showed improved responses at C7. Median OS from randomization by response at C3 was 22.4 months for ≥ PR (n = 58, HR 0.66; 95% CI 0.40-1.08, p = 0.0976 vs. SD), 16.2 months for SD (n = 116), and 6.3 months for PD (n = 44, HR 3.43; 95% CI 2.23-5.27, p < 0.0001 vs. SD). Similar patterns were observed for C5 and C7. Results show that POM + LoDEX should be a standard treatment after lenalidomide and bortezomib, including in SD patients.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.018
GPT teacher head0.273
Teacher spread0.255 · 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".

Quick stats

Citations11
Published2016
Admission routes1
Has abstractyes

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