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Baseline Characteristics and Symptom Burden in RESPONSE: A Randomized, Open-Label, Phase 3 Study of Ruxolitinib In Polycythemia Vera Patients Resistant to or Intolerant of Hydroxyurea

2013· article· en· W2292390406 on OpenAlexaboutno aff
Alessandro M. Vannucchi, Jean‐Jacques Kiladjian, Martin Grießhammer, Tamás Masszi, Simon Durrant, Pierre Zachée, Fabrizio Pane, Claire Harrison, Shui He, Lance Leopold, Jingjin Li, Ulrich Pirron, Tomasz Lawniczek, Srđan Verstovšek

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsPhlebotomyMedicineRuxolitinibPolycythemia veraInternal medicineHematocritPhases of clinical researchMyelofibrosisMyeloproliferative neoplasmClinical trialGastroenterologySurgeryBone marrow

Abstract

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Abstract Background Polycythemia vera (PV) is the most common of the myeloproliferative neoplasms and is characterized by elevated hematocrit requiring phlebotomy, splenomegaly, a variety of symptoms and increased thrombotic risk. Ruxolitinib, a JAK1/JAK2 inhibitor, was well tolerated and achieved rapid and durable clinical responses in a phase 2 study of patients (pts) with PV who were resistant to or intolerant of hydroxyurea (HU). Pts experienced phlebotomy independence, resolution of splenomegaly, and improvements in white blood cell (WBC) counts, platelet (PLT) counts, and disease-related symptoms. Here, we describe the baseline (BL) characteristics and symptom burden of pts in a phase 3 study of ruxolitinib in pts with PV who are resistant to or intolerant of HU. Methods RESPONSE is a randomized (1:1), open-label, phase 3 study (NCT01243944) comparing the efficacy and safety of ruxolitinib with best available therapy (BAT) in pts with PV who are resistant to or intolerant of HU (modified European LeukemiaNet criteria), have splenomegaly, and require phlebotomy for inadequate hematocrit (Hct) control. Fourteen disease-related symptoms were assessed on a scale of 0 (absent) to 10 (worst imaginable) using the modified Myeloproliferative Neoplasm Symptom Assessment Form (MPN-SAF). Blinded data are presented here. Results BL demographic data are available for the 222 enrolled pts (Table). Apart from HU, other common prior medications for PV included interferons (15%), PLT aggregation inhibitors (10%), alkylating agents (3.6%), alkyl sulfonates (3.2%), pyrimidine analogues (1.8%), and nitrosoureas (1.4%). The majority of pts (54.5%) had 1 phlebotomy within 12 weeks prior to screening; 23.9% had 2 and 17.1% had 3 or more phlebotomies. RESPONSE BL demographics are generally similar in terms of age (60 years vs 57-67); sex (66% male vs 58%-68%); Hct (44% vs 45%-48%); and platelets (419 x 109/L vs 320-429 x 109/L) to other PV studies including trials of givinostat (Finazzi BJH 2013) and AOP2014 (Gisslinger ASH 2012) and the ECLAP-PV (Marchioli JCO 2005) and CYTO-PV studies (Marchioli NEJM 2012). At the time of writing, BL symptom data from the MPN-SAF were available for 164 pts (Table). Pts in this study reported a similar symptom burden as PV pts from a large study of pts with MPNs (Emanuel JCO 2012; N = 1425; PV, n = 538), including similar mean scores for early satiety, abdominal discomfort, concentration problems, night sweats, itching, and tiredness/fatigue. In addition, prior therapy may have adversely affected BL symptom burden, as many of these symptoms (concentration problems, night sweats, fatigue) have been shown to be worsened by the use of conventional therapy to strictly control Hct (< 45%) and cardiovascular risk (Emanuel EHA 2013). BL MPN-SAF symptom data for all 222 pts will be presented. In addition, correlations between BL EORTC QLQ-C30 and MPN-SAF scores will be presented. Summary/Conclusions Demographic and BL symptom data from the RESPONSE study demonstrated that pts with HU refractory or intolerant PV have a significant disease burden that includes a variety of symptoms. These findings are consistent with those of Emanuel (JCO 2012), which showed that pts with PV have a significant symptom burden and a reduced quality of life. Pts with PV in the RESPONSE study are representative of those who have been studied in other clinical trials for the treatment of PV. Disclosures: Vannucchi: Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees. Off Label Use: Ruxolitinib, a JAK1/JAK2 inhibitor, has been approved by the US Food and Drug Administration for the treatment of intermediate- or high-risk MF and by the European Commission and Health Canada for the treatment of disease-related splenomegaly or symptoms in adult patients with MF. Here, we describe the baseline (BL) characteristics and symptom burden of patients in a phase 3 study of ruxolitinib in patients with PV who are resistant to or intolerant of HU. Kiladjian:Novartis: Honoraria; Shire: Honoraria. Durrant:Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Sanofi: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding. Pane:Novartis: Consultancy, Honoraria; Shire: Honoraria. Harrison:Novartis: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding, Speakers Bureau; Sanofi: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Speakers Bureau; YM Bioscience: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Celgene: Honoraria; Shire: Speakers Bureau; SBio: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Gilead: Honoraria, Membership on an entity’s Board of Directors or advisory committees. He:Incyte: Employment. Leopold:Incyte: Employment, Stock options Other. Li:Novartis: Employment, Equity Ownership. Pirron:Novartis: Employment, Equity Ownership. Lawniczek:Novartis: Employment. 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)0.001
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.003
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 head0.023
GPT teacher head0.319
Teacher spread0.296 · 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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Citations9
Published2013
Admission routes1
Has abstractyes

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