Evidence map›Paper›PMID 29316383›Full record

Trial reportArthritis care & research2018

Effectiveness of a Web-Based Personalized Rheumatoid Arthritis Risk Tool With or Without a Health Educator for Knowledge of Rheumatoid Arthritis Risk Factors.

Maria G Prado, Maura D Iversen, Zhi Yu, Rachel Miller Kroouze, Nellie A Triedman, Sarah S Kalia, Bing Lu, Robert C Green, Elizabeth W Karlson, Jeffrey A Sparks

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Arthritis care & research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  9. Commentary: 20 years online with "Your Disease Risk".Cancer causes & control : CCC · 2021
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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

10 authors at 3 institutions in 2 countries.

Maria G PradoBrigham and Women's Hospital, Boston, Massachusetts.
Maura D IversenBrigham and Women's Hospital, Harvard Medical School, and Northeastern University, Boston, Massachusetts, and Karolinska Institutet, Stockholm, Sweden.
Zhi YuBrigham and Women's Hospital, Boston, Massachusetts.
Rachel Miller KroouzeBrigham and Women's Hospital, Boston, Massachusetts.
Nellie A TriedmanBrigham and Women's Hospital, Boston, Massachusetts.
Sarah S KaliaHarvard T. H. Chan School of Public Health, Boston, Massachusetts.
Bing LuBrigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Robert C GreenHarvard Medical School and Brigham and Women's Hospital, Boston, and Broad Institute, Cambridge, Massachusetts.
Elizabeth W KarlsonBrigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Jeffrey A SparksBrigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-5556-4618
Brigham and Women's Hospital · USBroad Institute · USHarvard University · US

Funding

Resource ProjectU41HG006834 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI REHM, HEIDI L · 2013 to 2020
$26.9M
Trial of risk mangement for prevention of accelerated atherosclerosis in SLEP60AR047782 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SOLOMON, DANIEL HAL · 2001 to 2016
$18.8M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
Integration of Whole Genome Sequencing into Clinical MedicineU01HG006500 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2012 to 2016
$11.5M
Joint Biology Consortium Resource-based CenterP30AR070253 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI Peter A Nigrovic, Jeffrey Andrew Sparks · 2016 to 2026
$9.4M
The Next Generation Immunoanalysis CoreP30AR069625 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI MIHM, MARTIN C. · 2016 to 2025
$8.8M
Novel Biomarkers and Prediction Models for Rheumatoid ArthritisR01AR049880 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI COSTENBADER, KAREN H, KARLSON, ELIZABETH W · 2003 to 2018
$8.7M
Genome Sequence-Based Screening for Childhood Risk and Newborn IllnessU19HD077671 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI BEGGS, ALAN H., GREEN, ROBERT C. · 2013 to 2018
$6.1M
Genetic Predictors of Early Atherosclerosis in SLEK24AR052403 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI KARLSON, ELIZABETH W · 2005 to 2014
$1.5M
Impact of Direct to Consumer Genetic TestingR01HG005092 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C., ROBERTS, SCOTT · 2010 to 2012
$1.1M
Rheumatoid Arthritis and Respiratory Outcomes in Prospective CohortsK23AR069688 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI SPARKS, JEFFREY ANDREW · 2016 to 2020
$766k
NHGRI NIH HHS R01 HG005092NHGRI NIH HHS R01-HG-005092NHGRI NIH HHS U01 HG006500NHGRI NIH HHS U01-HG-006500NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U01-HG-008685NHGRI NIH HHS U41 HG006834NHGRI NIH HHS U41-HG-006834NIAMS NIH HHS K23 AR069688NIAMS NIH HHS K23-AR-069688NIAMS NIH HHS K24 AR052403NIAMS NIH HHS L30 AR066953NIAMS NIH HHS L30-AR-066953NIAMS NIH HHS P30 AR069625NIAMS NIH HHS P30-AR-069625NIAMS NIH HHS P30 AR070253NIAMS NIH HHS P30-AR-070253NIAMS NIH HHS P60 AR047782NIAMS NIH HHS P60-AR-047782NIAMS NIH HHS R01 AR049880NIAMS NIH HHS R01-AR-049880NICHD NIH HHS U19 HD077671NICHD NIH HHS U19-HD-077671
6 · The paper itself

Abstract

objectiveTo assess knowledge of rheumatoid arthritis (RA) risk factors among unaffected first-degree relatives (FDRs) and to study whether a personalized RA education tool increases risk factor knowledge.

methodsWe performed a randomized controlled trial assessing RA educational interventions among 238 FDRs. The web-based Personalized Risk Estimator for RA (PRE-RA) tool displayed personalized RA risk results (genetics, autoantibodies, demographics, and behaviors) and educated about risk factors. Subjects were randomly assigned to a Comparison arm (standard RA education; n = 80), a PRE-RA arm (PRE-RA alone; n = 78), or a PRE-RA Plus arm (PRE-RA and a one-on-one session with a trained health educator; n = 80). The RA Knowledge Score (RAKS), the number of 8 established RA risk factors identified as related to RA, was calculated at baseline and post-education (immediate/6 weeks/6 months/12 months). We compared RAKS and its components at each post-education point by randomization arm.

resultsAt baseline before education, few FDRs identified behavioral RA risk factors (15.6% for dental health, 31.9% for smoking, 47.5% for overweight/obesity, and 54.2% for diet). After education, RAKS increased in all arms, higher in PRE-RA and PRE-RA Plus than Comparison at all post-education points (P < 0.05). PRE-RA subjects were more likely to identify risk factors than those who received standard education (proportion agreeing that smoking is a risk factor at 6 weeks: 83.1% in the PRE-RA Plus arm, 71.8% in the PRE-RA arm, and 43.1% in the Comparison arm; P < 0.05 for PRE-RA versus Comparison).

conclusionDespite being both familiar with RA and at increased risk, FDRs had low knowledge about RA risk factors. A web-based personalized RA education tool successfully increased RA risk factor knowledge.

Indexed as

Arthritis, RheumatoidHealth EducationHealth Knowledge, Attitudes, PracticeAdultFemaleHumansMaleMiddle AgedRisk AssessmentRisk Factors

Identifiers

PMID29316383
PMCPMC6033684
OpenAlexW2783322761

What OpenQuestion holds

Textmetadata
LicenceTDM
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.