Evidence map›Paper›PMID 31022252›Full record

ArticlePloS one2019

Preventing rheumatoid arthritis: Preferences for and predicted uptake of preventive treatments among high risk individuals.

Mark Harrison, Luke Spooner, Nick Bansback, Katherine Milbers, Cheryl Koehn, Kam Shojania, Axel Finckh, Marie Hudson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
6.1field-weighted citation impact, top 3% of its field
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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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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

8 authors at 4 institutions in 2 countries.

Mark HarrisonFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada.ORCID 0000-0002-2115-2447
Luke SpoonerFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, Canada.
Nick BansbackCentre for Health Evaluation and Outcome Sciences, St. Paul's Hospital, Vancouver, Canada.
Katherine MilbersCentre for Health Evaluation and Outcome Sciences, St. Paul's Hospital, Vancouver, Canada.
Cheryl KoehnArthritis Consumer Experts/JointHealth, Vancouver, Canada.
Kam ShojaniaArthritis Research Canada, Richmond, Canada.
Axel FinckhDivision of Rheumatology, University of Geneva, Geneva, Switzerland.
Marie HudsonDivision of Rheumatology, Jewish General Hospital and Lady Davis Institute, and Department of Medicine, McGill University, Montreal, Canada.
University of British Columbia · CAJewish General Hospital · CASt. Paul's Hospital · CAUniversity of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo understand preferences for and estimate the likely uptake of preventive treatments currently being evaluated in randomized controlled trials with individuals at increased risk of developing rheumatoid arthritis (RA).

methodsFocus groups were used to identify key attributes of potential preventive treatment for RA (reduction in risk of RA, how treatment is taken, chance of side effects, certainty in estimates, health care providers opinion). A web-based discrete choice experiment (DCE) was administered to people at-risk of developing RA, asking them to first choose their preferred of two hypothetical preventive RA treatments, and then between their preferred treatment and 'no treatment for now.' DCE data was analyzed using conditional logit regression to estimate the significance and relative importance of attributes in influencing preferences.

resultsTwo-hundred and eighty-eight first-degree relatives (60% female; 66% aged 18-39 years) completed all tasks in the survey. Fourteen out of fifteen attribute levels significantly influenced preferences for treatments. How treatment is taken (oral vs. infusion β0.983, p<0.001), increasing reduction in risk of RA (β0.922, p<0.001), health care professional preference (β0.900, p<0.001), and avoiding irreversible (β0.839, p<0.001) or reversible serious side effects (β0.799, p<0.001) were most influential. Predicted uptake was high for non-biologic drugs (e.g. 84% hydroxycholoroquine), but very low for atorvastatin (8%) and biologics (<6%).

conclusionDecisions to take preventative treatments are complex, and uptake depends on how treatments can compromise on convenience, potential risks and benefits, and recommendations/preferences of health care professionals. This evidence contributes to understanding whether different preventative treatment strategies are likely to be acceptable to target populations.

Indexed as

AdolescentAdultArthritis, RheumatoidChoice BehaviorFemaleHumansMaleMiddle AgedRisk FactorsYoung Adult

Identifiers

PMID31022252
PMCPMC6483264
OpenAlexW2940519132

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.