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Associations Between Improvements in Myelofibrosis (MF) Symptoms and Quality of Life Measures with Splenomegaly Reduction in COMFORT-I: A Randomized, Double-Blind, Phase III Trial of the JAK1 and JAK2 Inhibitor Ruxolitinib Versus Placebo in Patients with MF,

2011· article· en· W2979946483 on OpenAlexaff
Ruben A. Mesa, Jason Gotlib, Vikas Gupta, John F. DiPersio, John Catalano, Michael W. Deininger, A. F. Shields, Carole B. Miller, Richard T. Silver, Moshe Talpaz, Elliott F. Winton, Jimmie H. Harvey, Thomas Hare, Sue Erickson-Viitanen, William Sun, Victor Sandor, Richard S. Levy, Hagop M. Kantarjian, Srđan Verstovšek

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsRuxolitinibMedicineMyelofibrosisPlaceboQuality of life (healthcare)Internal medicineClinical trialBone painPhases of clinical researchRandomized controlled trialAnemiaAdverse effectSurgeryGastroenterologyPhysical therapyBone marrowPathology

Abstract

fetched live from OpenAlex

Abstract Abstract 3842 Background: Dysregulated JAK-STAT signaling is a key feature in MF, which is characterized by splenomegaly, debilitating symptoms, poor quality of life (QoL), cytopenias, and shortened survival. Ruxolitinib is a selective JAK1 and JAK2 inhibitor with clinical activity in MF. COMFORT-I is a Phase III, double-blinded, placebo-controlled study of ruxolitinib in patients with MF. At wk 24, 41.9% of patients receiving ruxolitinib reached the protocol-defined threshold of a ≥35% reduction in spleen volume (SV) compared to 0.7% in the placebo group (p<0.0001). The objective of this analysis was to evaluate the relationship between SV reduction achieved with ruxolitinib treatment and changes in symptoms and QoL. Methods: 309 patients were randomized to receive ruxolitinib (n=155) or placebo (n=154). Initial dosing was based on baseline platelet counts: 15 mg BID for counts of 100–200 x109/L and 20 mg BID for >200 x109/L. SV was measured by blinded imaging (MRI or CT scan) every 12 wks. Via electronic diary, patients reported MF symptoms daily using the modified Myelofibrosis Symptom Assessment Form (MFSAF) v2.0. The Total Symptom Score (TSS) from the MFSAF represents a combined score for the individual symptoms of abdominal discomfort, pain under ribs on left side, early satiety, itching, night sweats, and bone/muscle pain. The European Organization for Research and Treatment of Cancer Quality-of-Life 30 (EORTC QLQ-C30) and Patient-Reported Outcomes Measurement System (PROMISE) Fatigue questionnaires were administered at each visit; Patient Global Impression of Change (PGIC) was administered at every visit beginning at wk 4. The PGIC rates a patient's overall sense of whether a treatment has been beneficial or not on a 7-point scale, ranging from 1 = very much improved to 7 = very much worse, with 4 = no change. Results: Baseline QoL scores reflected debilitating disease, and were similar to scores for similar-aged patients with other cancers (Scott NW, Fayers PM, Aaronson NK, et al. EORTC QLQ-C30 Reference Values Manual, July 2008). The impact on patients was particularly evident on the PROMIS Fatigue scale and QLC-C30 Global Health, Physical Functioning, Role Functioning, and Social Functioning subscales. Baseline Symptom and QoL Measures* Associations between changes in symptoms and QoL with the objectively measured changes in SV were evaluated. Patients receiving ruxolitinib were grouped according to SV reduction at 24 wks of treatment: ≥35% reduction in SV (n=65), 10-<35% (n=51), and <10% (n=23). Symptom and QoL responses were evaluated among the various subgroups (of the SV reduction percentage strata) and comparisons were made across these and the total placebo group (n=106). Shown in the Figure are mean changes at wk 24 relative to baseline for TSS, QoL indicators, and PGIC scores. Conclusions: Changes in SV as low as 10% in ruxolitinib-treated patients were associated with improvements on EORTC QLQ-C30 Global Health subscale, PROMISE Fatigue scale, and the MFSAF v2.0 diary TSS. Moreover, commensurate improvements in these outcomes were observed as the SV reduction increased. Importantly, the simple PGIC questionnaire allowed patients to characterize a meaningful change in their condition that was consistent with more comprehensive measures of MF symptoms and quality of life, reflecting a doctor-patient assessment easily applied to clinical practice. Disclosures: Mesa: Incyte: Research Funding; Lilly: Research Funding; SBio: Research Funding; Astra Zeneca: Research Funding; NS Pharma: Research Funding; Celgene: Research Funding. Gotlib:Incyte: Consultancy, Research Funding. Gupta:Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Catalano:Incyte: Honoraria; Novartis: Honoraria. Deininger:BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Ariad: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding; Genzyme: Research Funding. Shields:Incyte: Consultancy. Miller:Incyte: Research Funding; Novartis: Honoraria, Research Funding, Speakers Bureau. Winton:Incyte: Consultancy. Hare:Incyte: Employment. Erickson-Viitanen:Incyte: Employment. Sun:Incyte: Employment. Sandor:Incyte: Employment. Levy:Incyte: Employment, Equity Ownership. Kantarjian:Incyte: Research Funding; Novartis: Consultancy, Research Funding. Verstovsek:Incyte: Research Funding.

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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.060
GPT teacher head0.299
Teacher spread0.240 · 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".

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Citations10
Published2011
Admission routes1
Has abstractyes

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