Evidence map›Paper›PMID 39666176›Full record

ArticleThe patient2025

Measuring Patient Preferences to Inform Clinical Trial Design: An Example in Rheumatoid Arthritis.

Gillian R Currie, Jan Storek, Karen V MacDonald, Glen Hazlewood, Caylib Durand, John F P Bridges, Dianne Mosher, Deborah A Marshall

Abstract read
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Article in The patient, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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. Review
  2. Article
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

8 authors.

Gillian R CurrieDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada. currie@ucalgary.ca.ORCID 0000-0002-4681-9893
Jan StorekDepartment of Hematology, University of Calgary, Calgary, AB, Canada.
Karen V MacDonaldDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.ORCID 0000-0001-7739-4296
Glen HazlewoodDepartment of Medicine, University of Calgary, Calgary, AB, Canada.ORCID 0000-0001-7709-3741
Caylib DurandDepartment of Medicine, University of Calgary, Calgary, AB, Canada.
John F P BridgesDepartment of Biomedical Informatics, The Ohio State University College of Medicine, Columbus, OH, USA.
Dianne MosherDepartment of Medicine, University of Calgary, Calgary, AB, Canada.
Deborah A MarshallDepartment of Community Health Sciences, University of Calgary, Calgary, AB, Canada.ORCID 0000-0002-8467-8008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAllogeneic bone marrow transplantation (BMT) may be a curative treatment for patients with rheumatoid arthritis (RA), but it has serious risks, including death. It is uncertain whether patients would accept the risks and benefits of BMT and participate in clinical trials. We conducted a discrete choice experiment (DCE) to quantify risk tolerance and benefit-risk trade-offs to inform the design of a clinical trial for BMT.

methodsWe conducted a DCE with three attributes (three levels each): chance of stopping disease progression (50-90%), increased chance of death in year after transplant (3-15%), and chance of chronic graft-versus-host disease (cGVHD) (3-15%). An orthogonal main effects design of nine binary choice tasks were presented for two scenarios: one considering their current situation and a second scenario where the patient has failed seven anti-rheumatic drugs. Participants were recruited from the Rheum4U inflammatory arthritis registry. Choice data were analyzed using a logit model accounting for multiple responses per participant.

resultsSixty patients participated. Most (82%) had severe disease, and the median number of anti-rheumatic drugs previously taken was 6 (range 0-18). As expected, an increased chance of stopping disease progression increases the probability of choosing BMT, while increased chance of both risks decreases the probability. Patients were willing to accept a 3% increase in risk of death or 6% increase in chance of chronic GVHD for a 10% increase in the chance of stopping disease progression. For the most clinically likely BMT risk-benefit profiles, and the likely initial target population of patients who have failed multiple biologics, between 72% and 91% of patients would choose BMT.

conclusionsPatients with RA are willing to accept substantial risks for a chance to stop disease progression with BMT, suggesting that a pilot trial of BMT for RA could successfully recruit patients. Preference studies have an important role in informing patient-centered clinical trial planning and design.

Indexed as

Arthritis, RheumatoidBone Marrow TransplantationClinical Trials as TopicPatient PreferenceAdultAgedChoice BehaviorDisease ProgressionFemaleGraft vs Host DiseaseHumansMaleMiddle AgedResearch DesignRisk Assessment

Identifiers

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Registered trials

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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.