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PF614 PATIENT‐REPORTED OUTCOMES FROM THE INNOVATE™ STUDY: RESULTS OF IBRUTINIB‐RITUXIMAB IN WALDENSTRÖM MACROGLOBULINEMIA (WM)

2019· article· en· W2951773279 on OpenAlexaff
Alessandra Tedeschi, Meletios Α. Dimopoulos, Judith Trotman, Ramón García‐Sánz, D. Blair Macdonald, Beatrice Mahé, Charles Herbaux, Leonard T. Heffner, Constantine S. Tam, Marzia Varettoni, M. Lia Palomba, J. Matous, Chaim Shustik, Efstathios Kastritis, Steven P. Treon, J. Li, Erik Poulsen, B. Hauns, Christian Buske, V. Leblond

Bibliographic record

VenueHemaSphere · 2019
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsMcGill University Health CentreRoyal Victoria Regional Health CentreOttawa HospitalRoyal Victoria HospitalUniversity of Ottawa
Fundersnot available
KeywordsIbrutinibRituximabMedicineInternal medicineOncologyWaldenstrom macroglobulinemiaPlaceboLymphomaLeukemiaChronic lymphocytic leukemiaPathology

Abstract

fetched live from OpenAlex

Background: Anemia and fatigue can impair quality of life in patients (pts) with WM and are common reasons for the initiation of WM treatment. Ibrutinib, a first‐in‐class, once‐daily inhibitor of BTK, is approved in the EU for the treatment of WM after ≥1 prior therapy or as first‐line therapy in pts unsuitable for chemoimmunotherapy. In the US, ibrutinib is approved for the treatment of WM as single agent or in combination with rituximab. Single‐agent ibrutinib has been shown to induce clinically meaningful improvements in pt‐reported outcomes (PROs) in pts with rituximab‐refractory WM (Trotman, EHA 2017). In the primary analysis of the phase 3 iNNOVATE study, ibrutinib‐rituximab produced higher rates of sustained hemoglobin improvement and meaningful improvements in PROs when compared with placebo‐rituximab (Dimopoulos NEJM 2018). Here, we report a more detailed analysis of PROs from iNNOVATE. Aims: To evaluate data on PROs from the iNNOVATE study to assess pts’ perspectives of the therapeutic benefit of ibrutinib‐rituximab. Methods: Pts with symptomatic WM requiring therapy were randomized to daily 420 mg oral ibrutinib or placebo until progressive disease or unacceptable toxicity. Both arms also received rituximab (375 mg/m 2 /week IV at weeks 1–4 and 17–20). PRO measures evaluated in this analysis included FACIT‐Fatigue (FACIT‐F), FACT‐An total score (TS) and anemia subscale score (AS), and EQ‐5D‐5L (© EuroQol Research Foundation. EQ‐5D™ is a trade mark of the EuroQol Research Foundation) visual analog scale (VAS) and utility score (US). Results: For the 150 randomized pts (75/arm), the most common reasons for initiating treatment were fatigue (61%), constitutional symptoms (32%), and anemia (32%). Baseline PRO scores were comparable in both arms. Overall (median follow‐up, 26.5 months), more pts showed clinically meaningful improvement in FACIT‐F, TS, and AS with ibrutinib‐rituximab than placebo‐rituximab (Table & Figure). The median time to PRO improvement was short (1–2 months) and comparable in both arms. A correlation analysis conducted at week 25 showed that changes in hemoglobin levels correlated with FACIT‐F (Pearson coefficient r = 0.28), TS (r = 0.29), and AS (r = 0.26) in the ibrutinib‐rituximab arm; no meaningful correlations were observed on placebo‐rituximab. Changes in IgM levels correlated with FACIT‐F (r = −0.32), TS (r = −0.33), AS (r = −0.35), and EQ‐VAS (r = −0.26) for ibrutinib‐rituximab and with FACIT‐F (r = 0.29) and TS (r = 0.35) for placebo‐rituximab. Summary/Conclusion: These results show that in pts with WM, clinical response and improvements in anemia with ibrutinib‐rituximab are consistent with more pts showing clinically meaningful improvement in PROs compared with placebo‐rituximab. Changes in IgM correlate with improvements in PROs in pts treated with ibrutinib‐rituximab. image

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.028
GPT teacher head0.306
Teacher spread0.279 · 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 teacher head, not a consensus.

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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