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Record W3211450144 · doi:10.1182/blood-2021-148254

Characteristics of High-Risk Polycythemia Vera Patients with Suboptimal Response to First-Line Therapy Who Switched to Ruxolitinib Vs Those Who Did Not Switch: Findings from PV-Switch, a Multinational, Retrospective Chart Review Study

2021· article· en· W3211450144 on OpenAlexaff
Steffen Koschmieder, Clemens Schulte, Eyck von der Heyde, Lambert Busque, Françoise Boyer‐Perrard, Timothy Devos, Francesco Passamonti, Mike W. Zuurman, Carole Paley, Geralyn Gilotti, Wendy Y. Cheng, Chi Gao, Mu Cheng, Melody Wu, Mei Sheng Duh, Claire Harrison

Bibliographic record

VenueBlood · 2021
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicinePolycythemia veraInternal medicineRuxolitinibPediatricsMyelofibrosisBone marrow

Abstract

fetched live from OpenAlex

Abstract Introduction: Cytoreductive therapy such as hydroxyurea and interferon is recommended for high-risk polycythemia vera (PV) patients (pts) and is often used as first-line (1L) therapy. Yet, nearly a quarter of pts discontinue 1L therapy due to resistance or intolerance, requiring second-line (2L) therapy. While ruxolitinib (RUX) is an FDA- and EMA-approved agent for treating resistant or intolerant PV, many pts continue 1L therapy in real-world clinical practice. With a primary objective to assess the event-free survival (EFS) of RUX as 2L therapy in high-risk PV pts ("switchers") relative to pts who stay on 1L therapy ("non-switchers") after suboptimal response, we initiated a multinational, retrospective chart review study with a recruitment target of 350 pts across 25 clinical sites in 9 countries. This study is the first of its kind; the current analysis describes the characteristics of an interim sample of RUX switchers and non-switchers following suboptimal response to 1L therapy. Methods: The analysis included an interim sample of eligible pts with data extracted from medical charts from Feb 2020-Jun 2021. Pt eligibility included those ≥18 years old with JAK2 positive PV diagnosed in 2012 or later and a high-risk constellation, suboptimal response to 1L therapy (criteria in Table 1) after ≥12 months of treatment, and ≥6 months of follow-up after suboptimal response except in the event of death. Pts were excluded if they initiated PV treatment other than RUX after suboptimal response. Pts were classified into switchers vs non-switchers based on whether they switched to RUX following first suboptimal response (i.e., index date). Descriptive statistics were used to summarize criteria for suboptimal response, pt characteristics and comorbidities at any time prior to the index date, and PV-related symptoms 12 months prior to the index date (i.e., baseline period). Analyses were conducted separately for switchers and non-switchers. Results: In the interim sample of 137 pts, 44 (32.1%) were classified as switchers and 93 (67.9%) as non-switchers. Switchers tended to be younger at PV diagnosis than non-switchers (mean [SD]: 66.5 [12.0] vs 70.2 [8.5] years) and were more likely to be male (52.3% vs 47.3%). Median (interquartile range) time from PV diagnosis to index date was shorter for switchers than non-switchers (13.6 [12.3-22.3] vs 20.6 [14.7-37.0] months). Distribution of suboptimal response criteria differed for the two groups: "persistence of PV-related symptoms or presence of new PV-related symptoms" was the most common criterion for switchers, reported in 47.7% of pts vs 15.1% of non-switchers, while "the need for ≥3 phlebotomies to maintain hematocrit <45% within 1 year" was most common in non-switchers, reported in 45.2% of pts vs 22.7% of switchers (Table 1). More switchers (54.4%) than non-switchers (31.2%) had a history of thrombosis at time of PV diagnosis. Commonly reported comorbidities included hypertension (43.2% switchers vs 66.7% non-switchers), cardiac conditions (18.2% vs 29.0%), hypercholesterolemia (9.1% vs 25.8%), and diabetes (2.3% vs 16.1%) and tended to be less prevalent in switchers than non-switchers. The most observed PV-related symptoms in the baseline period for both groups were fatigue (18.2% switchers vs 16.1% non-switchers) and pruritus (15.9% vs 14.0%). Fewer switchers (36.4%) than non-switchers (60.2%) received phlebotomies in the baseline period while the mean (SD) number of procedures was similar (3.8 [2.3] vs 3.9 [2.8]). Spleen size assessment by palpation was available in 13 switchers (29.5%) and 38 non-switchers (40.9%) on index date, with switchers tending to have a lower proportion of normal size (18.2% vs 37.6%) and a higher proportion of mild or moderate splenomegaly (11.4% vs 3.3%). Conclusions: This analysis shows the trending existence of clinical differences between switchers and non-switchers, with a milder comorbidity profile in switchers. Moreover, while switchers experienced similar PV-related symptoms relative to non-switchers at baseline, switchers were more likely to experience persistence of PV-related symptoms or presence of new symptoms as their suboptimal response type. Taken together, these two factors may have influenced clinicians' decisions to switch to RUX or continue 1L therapy. Upon completion, this novel study will examine the potential impact of switching vs non-switching on EFS in this population. Figure 1 Figure 1. Disclosures Koschmieder: Alexion: Other: Travel support; Geron: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: (e.g. travel support), Research Funding; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: (e.g. travel support); Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: (e.g. travel support); Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: (e.g. travel support); Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: (e.g. travel support); Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: (e.g. travel support); AOP Pharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: (e.g. travel support), Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: (e.g. travel support), Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees, Other: Travel support; Shire: Honoraria, Other; Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Research Funding; Karthos: Other: Travel support; Abbvie: Other: Travel support; Baxalta: Membership on an entity's Board of Directors or advisory committees, Other; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Research Funding; CTI: Membership on an entity's Board of Directors or advisory committees, Other; Image Biosciences: Other: Travel support. Schulte: Novartis: Consultancy. von der Heyde: BMS: 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; Boehringer Ingelheim: Consultancy, Membership on an entity's Board of Directors or advisory committees; Ipsen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees; Merck: Consultancy, Membership on an entity's Board of Directors or advisory committees. Busque: Novartis: Consultancy. Boyer-Perrard: Novartis: Consultancy. Devos: Alexion, AstraZeneca Rare Disease Inc.: Consultancy; Novartis: Consultancy; AbbVie: Consultancy; Incyte: Consultancy; Bristol Myers Squibb - Celegene: Consultancy. Passamonti: Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; AbbVie: Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Zuurman: Novartis: Current Employment. Paley: Novartis: Ended employment in the past 24 months. Gilotti: Novartis: Current Employment. Cheng: Novartis: Other: I am an employee of Analysis Group, a consulting company that received funding from Novartis for this research study.. Gao: Novartis: Other: I am an employee of Analysis Group, a consulting company that received funding from Novartis for this research study.. Cheng: Novartis: Other: I am an employee of Analysis Group, a consulting company that received funding from Novartis for this research study.. Wu: Novartis: Other: I am an employee of Analysis Group, a consulting company that received funding from Novartis for this research study. Duh: Novartis: Other: I am an employee of Analysis Group, a consulting company that received funding from Novartis for this research study.. Harrison: Incyte Corporation: Speakers Bureau; Geron: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Shire: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Keros: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Promedior: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Constellation Pharmaceuticals: Research Funding; Sierra Oncology: Honoraria; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; CTI BioPharma: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead Sciences: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Galacteo: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.273
Teacher spread0.257 · 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 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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Citations1
Published2021
Admission routes1
Has abstractyes

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