Evidence map›Paper›PMID 41963752›Full record

ArticleClinical drug investigation2026

Willingness to Pay for Treatment Attributes in Diffuse Large B-Cell Lymphoma: A Discrete Choice Experiment in Japan.

Yasuyuki Arai, Timothy Bolt, Hikaru Onishi, Michael LoPresti, Victoria Arguissain, Jörg Mahlich

Abstract read
In one paragraph

Article in Clinical drug investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yasuyuki AraiKyoto University Hospital, Kyoto, Japan.
Timothy BoltFaculty of Economics, Saitama University, 255 Shimo-Okubo, Sakura-ku, Saitama-shi, Saitama, 338-8570, Japan. tbolt@mail.saitama-u.ac.jp.
Hikaru OnishiINTAGE Healthcare Inc., Tokyo, Japan.
Michael LoPrestiINTAGE Healthcare Inc., Tokyo, Japan.
Victoria ArguissainMiltenyi Biomedicine, Bergisch Gladbach, Germany.
Jörg MahlichMiltenyi Biomedicine, Bergisch Gladbach, Germany.ORCID http://orcid.org/0000-0003-1110-2793

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesTreatment decision-making in relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL) is increasingly complex, especially with the emergence of novel, high-cost therapies such as chimeric antigen receptor (CAR) T-cell therapy. Understanding how physicians weigh various clinical and nonclinical treatment attributes is essential for aligning healthcare decisions with both clinical value and economic sustainability. This study aims to quantify Japanese physicians' preferences in health outcomes and patient experience outcomes through eliciting trade-offs in a choice experiment for specific treatment characteristics in R/R DLBCL.

methodsWe performed a discrete choice experiment (DCE) with Japanese hematologists and oncologists. Participants completed an online best-worst scaling three alternative discrete choice experiment featuring a series of hypothetical treatment outcomes for DLBCL. The DCE included two patient vignettes: patient Q, a 70-year-old male with two prior treatment lines and Eastern Cooperative Oncology Group (ECOG) performance status 1; and patient R, a 58-year-old female with three prior treatment lines and ECOG performance status 2. Predefined attributes included: overall survival (OS) rates at 12 and 24 months, change in ECOG status at 6 months, CAR-T related side effects (risk of severe cytokine release syndrome (CRS), and risk of severe neurological events), duration of hospitalization, time until treatment initiation, and total treatment cost. A conditional logit model was used to calculate odds ratios (OR) for each attribute's influence on selecting the preferred treatment recommendation. ORs were translated into willingness-to-pay (WTP) estimates for the health outcomes, changes in adverse event risks and waiting time/hospitalization duration.

resultsA total of 231 Japanese hematologists and oncologists participated, each making six treatment decisions for two patient vignettes. Across both profiles, 12- and 24-month overall survival (OS), hospitalization duration, waiting time, and treatment cost significantly influenced preferences. For patient Q, reduced CRS risk was significant, while for patient R, ECOG improvement was influential. Willingness to pay (WTP) for a 1% increase in 24-month OS was approximately JPY 1.4 million (~USD 9520) for patient Q and JPY 1.8 million (~USD 12,240) for patient R; corresponding estimates for 12-month OS were slightly lower. A 1-week reduction in hospital stay was valued at JPY 1.1-1.9 million (USD 7480-12,920), and a 1-week reduction in waiting time at JPY 600,000-1.5 million (USD 4080-10,200). Overall, physicians prioritized long-term survival more strongly for the younger, more severe patient, whereas preferences were more balanced for the older patient. Clinical improvement (ECOG) weighed more heavily for the younger patient, while safety concerns were more salient in the older case.

conclusionsOur findings suggest that Japanese hematologists are cost-aware in their treatment decision-making. While improved OS remains the most valued outcome, reducing hospital length of stay is associated with substantial WTP, highlighting the importance of logistical and economic factors. The severity of prognosis shifted physician priorities to short-term survival and rapid access to care with more tolerance of adverse event risks. Future research should explore how these physician preferences align with patient perspectives.

Indexed as

Choice BehaviorLymphoma, Large B-Cell, DiffuseAgedFemaleHumansJapanMaleMiddle AgedTreatment Outcome

Identifiers

PMID41963752
PMCPMC13212400

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.