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Record W4417002560 · doi:10.1182/blood-2025-519

WM-voice: An international discrete choice experiment on treatment preferences in 1,455 patients with Waldenström macroglobulinemia

2025· article· en· W4417002560 on OpenAlexaffabout
Pythia T. Nieuwkerk, Michelle Postek, Karima Amaador, Sophie Bernelot Moens, Linda Bronsgeest, Shirley D’Sa, Pierre F. Faubert, Carl Harrington, Paul Kitchen, David R. Macdonald, Monique C. Minnema, Lia Palomba, Ibrahim Tohidi‐Esfahani, Judith Trotman, Andrew Warden, Marie José Kersten, Josephine M. I. Vos

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsOttawa HospitalMining Association of Canada
Fundersnot available
KeywordsLogitPreferenceMixed logitChoice setDiscrete choiceSet (abstract data type)Duration (music)Logistic regression

Abstract

fetched live from OpenAlex

Abstract Introduction: Waldenström macroglobulinemia (WM) is a rare and incurable low-grade non-Hodgkin lymphoma. Therapeutic options are rapidly expanding, with no consensus on the preferred approach. Available options vary in their properties, such as efficacy, mode of administration, and side effects. An improved understanding of patients' preferences and trade-offs may guide individual management in clinical practice and set priorities in therapeutic innovation. To date, structured data on this topic in WM are limited to one small Dutch study. The WM-VOICE study was designed to quantify international WM patient preferences for treatment properties and identify preference variation across subgroups. Methods: This study employed a discrete choice experiment (DCE) amongst WM patients in Australia, Canada, the Netherlands, the United Kingdom (UK), and the United States of America (USA). Attributes and levels were selected through interviews with WM patients and expert hematologists. These included: response duration (2, 4, 6, or 8 years), administration mode (hospital infusions or pills at home), treatment duration (6 months, 2 years, or ongoing), temporary toxicities (grade 0-1, 2, or 3-4), persistent toxicities (grade 0-1 or 2), and risk of secondary malignancies (increased or not). Following DCE design generation and pilot testing, the final anonymous web-based survey was disseminated via patient organizations and clinics. It included demographic and clinical questions, as well as 16 DCE choice sets. Each set asked respondents to choose between 2 hypothetical unlabeled treatment options, defined by 6 key attributes. Repeated choice data were analyzed using a panel mixed logit model, yielding conditional relative importance (CRI), reflecting each attribute's influence on the likelihood of selecting a given option based on its levels, and willingness to trade, calculated by dividing level coefficients by the marginal utility of a 1-year response duration increase (assuming linear coding across the 2-, 4-, 6-, and 8-year levels). Results: A total of 1,455 WM patients participated in the DCE (Australia: n=209, Canada: n=219, the Netherlands: n=340, UK: n=214, USA: n=473). Most respondents (75%) were 61-80 years old, and 818 (56%) were male. With a median time since diagnosis of 6 years (IQR 3-10), 79% were previously treated for WM. In the DCE, all attribute levels had significant impact on respondents’ treatment choices. Preferences were largely consistent across all 5 countries. Response duration and temporary toxicity had the highest importance (CRI 29.7%, 95% CI: 28.8–30.6 and 25.6%, 95% CI: 24.8–26.5, respectively), followed by secondary malignancy (17.7%, 95% CI: 16.8–18.6) and persistent toxicity (17.4%, 95% CI: 16.5–18.2). Administration mode (4.9%, 95% CI: 4.0–5.8) and treatment duration (4.6%, 95% CI: 3.8–5.4) had the lowest CRIs, favoring oral treatment at home over hospital infusions, and fixed-duration over ongoing therapy. Prior BTK inhibitor treatment significantly increased preference for oral over intravenous therapy (p=0.03). Other patient characteristics, including sex, age (≤70 vs >70 years), treatment status (untreated vs treated), prior chemotherapy, travel time to the hospital (<1 vs >1 hour), educational level, and current treatment status, did not impact choices. Within the context of the DCE, respondents were willing to trade 3.8 years and 5.6 years of response duration to move from short-term grade 3-4 toxicity to grade 2, or to grade 0-1, respectively. They would also trade 3.8 years to move from persistent grade 2 toxicity to grade 0-1, and 3.7 years to avoid an increased risk of secondary malignancy. Respondents accepted a 1.0 year reduction in response duration to take treatment orally instead of via infusions, 0.2 years to switch from ongoing to fixed-duration treatment of 2 years, and 1.0 year to switch to a 6-month treatment. Conclusion: The WM-VOICE study is the first to investigate international WM patients' treatment preferences. We identified 6 treatment properties significantly influencing choices, with strong similarity across 5 Western countries. Our results highlight that patients' choices are mainly driven by long response duration and avoidance of severe toxicity, whereas mode of administration and treatment duration are less influential. These results could be implemented in clinical practice to support shared decision-making and inform drug development and clinical trial design in WM.

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)0.020
metaresearch head score (Gemma)0.032
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 score0.020
Threshold uncertainty score0.106

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.032
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.332
Teacher spread0.316 · 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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Citations0
Published2025
Admission routes2
Has abstractyes

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