Evidence map›Paper›PMID 24574208›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2014

Determinants of mortality among postmenopausal women in the women's health initiative who report rheumatoid arthritis.

Lewis H Kuller, Rachel H Mackey, Brian T Walitt, Kevin D Deane, V Michael Holers, William H Robinson, Jeremy Sokolove, Yuefang Chang, Simin Liu, Christine G Parks and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.8field-weighted citation impact, top 10% 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, 36 citations in OpenAlex.

  1. Article
  2. Subclinical atherosclerosis in rheumatoid arthritis: a case cohort analysis from ELSA-Brasil.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
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  15. Menopause and Rheumatic Disease.Rheumatic diseases clinics of North America · 2017
    Review
  16. Review
  17. Article
  18. Article
  19. Observational
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

12 authors at 7 institutions in 1 country.

Lewis H KullerUniversity of Pittsburgh, Pittsburgh, Pennsylvania.
Rachel H Mackey
Brian T Walitt
Kevin D Deane
V Michael Holers
William H Robinson
Jeremy Sokolove
Yuefang Chang
Simin Liu
Christine G Parks
Nicole C Wright
Larry W Moreland
University of Pittsburgh · USStanford University · USUniversity of Colorado Denver · USBrown University · USMedStar Washington Hospital Center · USNational Institute of Environmental Health Sciences · USUniversity of Alabama at Birmingham · US

Funding

Virginia Mason/UCHSC Autoimmune Prevention CenterU19AI050864 · NIAID · UNIVERSITY OF COLORADO DENVER · PI EISENBARTH, GEORGE S · 2001 to 2011
$29.2M
Environmental Exposures And Risk For Cancer and Chronic Diseases In AdultsZIAES049028 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 2009 to 2024
$1.6M
WOMENS HEALTH INITIATIVE-N01WH22110N01WH022110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ROSS, PRENTICE · 1992 to 2006
$1.2M
The Role of the Lung in the Initiation of Rheumatoid ArthritisR56AI103023 · NIAID · UNIVERSITY OF COLORADO DENVER · PI DEANE, KEVIN · 2013 to 2013
$398k
Intramural NIH HHS Z99 ES999999NIAID NIH HHS U19 AI050864WHI NIH HHS N01 WH022110
6 · The paper itself

Abstract

objectiveRheumatoid arthritis (RA) patients have an increased risk of cardiovascular disease (CVD) and mortality. We measured anti-cyclic citrullinated peptide (anti-CCP) antibody levels and determined use of disease-modifying antirheumatic drugs (DMARDs) among women in the Women's Health Initiative (WHI). Using these data, we undertook this study to assess total mortality over 10 years of followup among white, black, or Hispanic women with self-reported RA in the WHI.

methodsUsing stored baseline serum, we measured anti-CCP, rheumatoid factor (RF), and antinuclear antibodies (ANAs) in 9,988 women who reported having RA. Based on a previous chart review study, probable RA was defined as either self-reported RA and anti-CCP positivity, or anti-CCP negativity and DMARD use. Cox proportional hazards regression was used to model the relationship of self-reported RA, DMARD exposure, and anti-CCP positivity to total mortality, using followup data through April 2009.

resultsAt baseline, the mean age was 62.8 years; 24.5% of subjects were black and 10% were Hispanic. Prevalence of anti-CCP positivity was 8.1% (n = 812), and 217 women were anti-CCP negative but had reported use of DMARDs; therefore, 1,029 women (of 9,988) were classified as having probable RA, and 8,958 were classified as unlikely to have RA (with data on DMARD use missing for 1 subject). Age-adjusted mortality rates were ∼2-fold higher for anti-CCP-positive women, with 20.2 deaths per 1,000 person-years, as compared to 11.4 deaths per 1,000 person-years among anti-CCP-negative women with self-reported RA who never used DMARDs. Among women who did not report any arthritis at baseline, we found 8.3 deaths per 1,000 person-years. The increased risk among anti-CCP-positive women with RA was not explained by age, RF positivity, ANA positivity, or DMARD use.

conclusionAnti-CCP-positive RA was associated with substantial excess mortality among postmenopausal women in the WHI. This result was not explained by the risk factors we measured.

Indexed as

AgedAntirheumatic AgentsArthritis, RheumatoidAutoantibodiesFemaleHumansMiddle AgedPeptides, CyclicPostmenopauseRheumatoid FactorSeverity of Illness IndexWomen's HealthAntirheumatic AgentsAutoantibodiescyclic citrullinated peptidePeptides, CyclicRheumatoid Factor

Identifiers

PMID24574208
PMCPMC5638120
OpenAlexW2123631302

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.