Evidence map›Paper›PMID 19950306›Full record

ArticleArthritis and rheumatism2009

Identification of undiagnosed inflammatory arthritis in a community health fair screen.

Kevin D Deane, Christopher C Striebich, Barbara L Goldstein, Lezlie A Derber, Mark C Parish, Marie L Feser, Elaine M Hamburger, Stacey Brake, Cindy Belz, James Goddard and 3 more

Abstract read
In one paragraph

Article in Arthritis and rheumatism, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

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

  1. Guideline
  2. Trial
  3. Trial
  4. Barriers to the Diagnosis of Early Inflammatory Arthritis: A Literature Review.Open access rheumatology : research and reviews · 2023
    Review
  5. Article
  6. Pre-RA: Can early diagnosis lead to prevention?Best practice & research. Clinical rheumatology · 2022
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
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  18. Review
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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

13 authors.

Kevin D DeaneUniversity of Colorado Denver, Aurora, CO, USA. Kevin.Deane@UCDenver.edu
Christopher C Striebich
Barbara L Goldstein
Lezlie A Derber
Mark C Parish
Marie L Feser
Elaine M Hamburger
Stacey Brake
Cindy Belz
James Goddard
Jill M Norris
Elizabeth W Karlson
V Michael Holers

Funding

Trial of risk mangement for prevention of accelerated atherosclerosis in SLEP60AR047782 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI KARLSON, ELIZABETH W · 2001 to 2016
$18.8M
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
Research Training in Rheumatology INCLUDE Down Syndrome SupplementT32AR007534 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI Kristine A. Kuhn · 1986 to 2026
$6.1M
RA-Related Autoantibodies in Healthy FDR of RA PatientsR01AR051394 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI NORRIS, JILL M · 2005 to 2011
$3.0M
Genetic Predictors of Early Atherosclerosis in SLEK24AR052403 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI KARLSON, ELIZABETH W · 2005 to 2014
$1.5M
Genetics, Exposures, and RA-Related AutoimmunityK23AR051461 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI DEANE, KEVIN · 2004 to 2008
$657k
NIAMS NIH HHS K23 AR051461NIAMS NIH HHS K23-AR051461NIAMS NIH HHS K24-AR0524-01NIAMS NIH HHS K24 AR052403NIAMS NIH HHS L30 AR050481NIAMS NIH HHS P60 AR047782NIAMS NIH HHS P60-AR047782NIAMS NIH HHS R01 AR049880NIAMS NIH HHS R01 AR051394NIAMS NIH HHS R01-AR051394NIAMS NIH HHS R01-AR49880NIAMS NIH HHS T32 AR007534NIAMS NIH HHS T32-AR007534-23
6 · The paper itself

Abstract

objectiveTo identify individuals with undiagnosed inflammatory arthritis (IA) and rheumatoid arthritis (RA) in a community health fair screen, and to establish in a health fair setting the diagnostic accuracy of combinations of the Connective Tissue Disease Screening Questionnaire (CSQ) and autoantibody testing for IA.

methodsScreening for IA/RA was performed at health fair sites using a combination of the CSQ, joint examination, rheumatoid factor, and anti-cyclic citrullinated peptide (anti-CCP) antibody testing. IA was defined as > or =1 swollen joint suggestive of synovitis on joint examination by a trained clinician.

resultsSix hundred one subjects were screened; 51.0% participated because of joint symptoms (pain, stiffness, or swelling). Eighty-four subjects (14.0%) had > or =1 swollen joint, designated as IA on joint examination. Of the 601 subjects screened, 9 (1.5%) had IA and met > or =4 of 7 American College of Rheumatology criteria for RA but had no prior diagnosis of RA, and 15 (2.5%) had IA and RF and/or anti-CCP positivity, suggesting early RA. The diagnostic accuracy of combinations of the CSQ and autoantibody testing for the identification of IA yielded maximal sensitivity, specificity, and positive and negative predictive values of 95.3%, 99.2%, 71.4%, and 97.7%, respectively.

conclusionHealth fair screening may be an effective approach for the identification of individuals with undiagnosed IA/RA. A combination of the CSQ and autoantibody testing alone has clinically useful diagnostic accuracy for the detection of IA. Decisions regarding which methodology to use for future health fair IA/RA screening will depend on goals of screening and funding.

Indexed as

Health FairsMass ScreeningArthritis, RheumatoidAutoantibodiesBiomarkersColoradoCommunity-Institutional RelationsEarly DiagnosisFemaleHumansJointsMaleMiddle AgedPeptides, CyclicReproducibility of ResultsRheumatoid FactorAutoantibodiesBiomarkerscyclic citrullinated peptidePeptides, CyclicRheumatoid Factor

Identifiers

PMID19950306
PMCPMC2913880

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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.