Evidence map›Paper›PMID 27479952›Full record

ArticleThe Permanente journal2016

Diagnostic Prevalence of Ankylosing Spondylitis Using Computerized Health Care Data, 1996 to 2009: Underrecognition in a US Health Care Setting.

Jeffrey R Curtis, Leslie R Harrold, Maryam M Asgari, Atul Deodhar, Craig Salman, Joel M Gelfand, Jashin J Wu, Lisa J Herrinton

Open access · greenAbstract read
In one paragraph

Article in The Permanente journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Global epidemiology of spondyloarthritis.Nature reviews. Rheumatology · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Developing International Classification of Disease code definitions for the study of enteric infection sequelae in Canada.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2023
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Clinical Manifestations and Diagnosis of Axial Spondyloarthritis.Journal of clinical rheumatology : practical reports on rheumatic & musculoskeletal diseases · 2021
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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 7 institutions in 2 countries.

Jeffrey R CurtisProfessor of Medicine in the Department of Clinical Immunology and Rheumatology at the University of Alabama at Birmingham. jcurtis@uab.edu.
Leslie R HarroldAssociate Professor at the Meyers Primary Care Institute and Fallon Clinic at the University of Massachusetts Medical School. leslie.harrold@umassmed.edu.
Maryam M AsgariResearch Scientist for the Division of Research in Oakland, CA. masgari@partners.org.
Atul DeodharProfessor of Medicine at Oregon Health and Science University in Portland. deodhara@ohsu.edu.
Craig SalmanData Analyst at the American Academy of Ophthalmology in San Francisco, CA. andyc298@yahoo.com.
Joel M GelfandDermatologist at the University of Pennsylvania in Philadelphia. joel.gelfand@uphs.upenn.edu.
Jashin J WuDirector of Dermatology Research for the Department of Dermatology at the Los Angeles Medical Center in CA. jashin.j.wu@kp.org.
Lisa J HerrintonResearch Scientist for the Division of Research in Oakland, CA. lisa.herrinton@kp.org.
Office of the Chief Scientist · ILAmerican Academy of Ophthalmology · USLos Angeles Medical Center · USOregon Health & Science University · USUniversity Hospital and Clinics · USUniversity of Alabama at Birmingham · USUniversity of Pennsylvania · US

Funding

Longitudinal Comparative Effectiveness & Safety of Biologics in AutoimmunityR01HS018517 · AHRQ · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CURTIS, JEFFREY R. · 2009 to 2013
$2.2M
Kaiser Permanente Autoimmune Disease RegistryRC1AI086107 · NIAID · KAISER FOUNDATION RESEARCH INSTITUTE · PI HERRINTON, LISA J · 2009 to 2010
$999k
Psoriasis and the Risk of DiabetesK24AR064310 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI GELFAND, JOEL M · 2013 to 2017
$870k
Ethnic Differences in the Risk of Fracture and Vascular DiseaseK23AR053351 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CURTIS, JEFFREY R. · 2007 to 2011
$755k
Assessing and Improving Arthritis Medication Adherence: Gout as a ModelK23AR053856 · NIAMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI HARROLD, LESLIE R · 2007 to 2011
$641k
Psoriasis treatments, cardiovascular disease, and diabetesR01HS021589 · AHRQ · KAISER FOUNDATION RESEARCH INSTITUTE · PI HERRINTON, LISA J · 2013 to 2014
$499k
AHRQ HHS R01 HS018517AHRQ HHS R01 HS021589NIAID NIH HHS RC1 AI086107NIAMS NIH HHS K23 AR053351NIAMS NIH HHS K23 AR053856NIAMS NIH HHS K24 AR064310
6 · The paper itself

Abstract

introductionFew studies have assessed the prevalence and features of axial spondyloarthritis (axSpA) and ankylosing spondylitis in diverse, population-based, community settings.

objectivesWe used computerized diagnoses to estimate the prevalence of axSpA and ankylosing spondylitis in Kaiser Permanente Northern California (KPNC).

methodsWe identified persons aged 18 years or older with 1 or more International Classification of Diseases, Ninth Revision (ICD-9) diagnosis Code 720.X (ankylosing spondylitis and other inflammatory spondylopathies) in clinical encounter data from 1996 through 2009 to estimate the prevalence of axSpA and ankylosing spondylitis. We reviewed medical records to confirm the diagnosis in a random sample and estimated the positive predictive value of computerized data to identify confirmed cases using various case definitions.

resultsIn the computerized data, 5568 adults had diagnostic codes indicating axSpA. On the basis of our case-finding approach using a single physician diagnosis code for ICD-9 720.X, the point prevalence of these conditions, standardized to the 2000 US Census, was 2.26 per 1000 persons for axSpA and 1.07 per 1000 for ankylosing spondylitis. Less than half of suspected cases saw a rheumatologist. The most specific algorithm for confirmed ankylosing spondylitis required 2 or more computerized diagnoses assigned by a rheumatologist, with 67% sensitivity (95% confidence interval, 64%-69%) and 81% positive predictive value (95% confidence interval, 79%-83%).

conclusionsObserved prevalence in the KPNC population, compared with national estimates for axSpA and ankylosing spondylitis, suggests there is substantial underrecognition of these conditions in routine clinical practice. However, use of computerized data is able to identify true cases of ankylosing spondylitis, facilitating population-based research.

Indexed as

Practice Patterns, Physicians'AdolescentAdultAgedAged, 80 and overAlgorithmsCaliforniaComputersDelivery of Health CareFemaleHumansMaleMedical Records Systems, ComputerizedMiddle AgedPrevalenceRheumatologists

Identifiers

PMID27479952
PMCPMC5101083
OpenAlexW2495762118

What OpenQuestion holds

Textmetadata
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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.