Evidence map›Paper›PMID 27696731›Full record

ArticleArthritis care & research2017

Incidence and Management of Cardiovascular Risk Factors in Psoriatic Arthritis and Rheumatoid Arthritis: A Population-Based Study.

Kashif Jafri, Christie M Bartels, Daniel Shin, Joel M Gelfand, Alexis Ogdie

Abstract read
In one paragraph

Article in Arthritis care & research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
10.2field-weighted citation impact, top 1% 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

69 citing papers in PubMed, 2 syntheses or guidelines pooled it, 138 citations in OpenAlex.

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  16. Cardiovascular comorbidities in psoriatic arthritis: state of the art.Therapeutic advances in musculoskeletal disease · 2024
    Review
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  18. Review
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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

5 authors at 3 institutions in 1 country.

Kashif JafriUniversity of California, San Francisco.
Christie M BartelsUniversity of Wisconsin School of Medicine and Public Health, Madison.
Daniel ShinPerelman School of Medicine, University of Pennsylvania, Philadelphia.
Joel M GelfandPerelman School of Medicine, University of Pennsylvania, Philadelphia.
Alexis OgdiePerelman School of Medicine, University of Pennsylvania, Philadelphia.
University of Pennsylvania · USUniversity of California, San Francisco · USUniversity of Wisconsin–Madison · US

Funding

Study Design and Data AnalysisP30AR069589 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Elizabeth Anne Grice · 2016 to 2026
$8.6M
ACADEMIC RHEUMATOLOGY AND CLINICAL IMMUNOLOGYT32AR007304 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DAIKH, DAVID I · 1986 to 2018
$6.0M
Psoriasis and the Risk of DiabetesK24AR064310 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI GELFAND, JOEL M · 2013 to 2017
$870k
Identification of Early Psoriatic ArthritisK23AR063764 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI OGDIE, ALEXIS R. · 2013 to 2017
$751k
Impact of Rheumatologist Communication Upon Managing Cardiovascular Risk in RAK23AR062381 · NIAMS · UNIVERSITY OF WISCONSIN-MADISON · PI BARTELS, CHRISTIE MICHELS · 2012 to 2015
$423k
Body composition, bone structure, and joint damage in rheumatoid arthritisIK2CX000955 · VA · PHILADELPHIA VA MEDICAL CENTER · PI BAKER, JOSHUA F. · 2013 to 2017
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CSRD VA IK2 CX000955NIAMS NIH HHS K23 AR062381NIAMS NIH HHS K23 AR063764NIAMS NIH HHS K24 AR064310NIAMS NIH HHS L30 AR060050NIAMS NIH HHS L30 AR060070NIAMS NIH HHS L30 AR063469NIAMS NIH HHS P30 AR069589NIAMS NIH HHS T32 AR007304
6 · The paper itself

Abstract

objectiveTo examine the prevalence and incidence of cardiovascular (CV) risk factors, including hypertension, hyperlipidemia, diabetes mellitus (DM), and obesity among patients with psoriatic arthritis (PsA) and rheumatoid arthritis (RA) compared to the general population, and to examine the treatment of incident CV risk factors in PsA and RA compared to controls.

methodsA cohort study was conducted within The Health Improvement Network, a medical record database in the UK, using data from 1994 to 2014. Patients ages 18-89 years with PsA or RA were matched to controls on practice and start date. The prevalence and incidence of CV risk factors identified by diagnostic codes were calculated. Cox proportional hazards models were used to examine the relative incidence of these CV risk factors. Finally, pharmacologic therapies for incident CV risk factors were examined.

resultsStudy subjects included patients with PsA (n = 12,548), RA (n = 53,215), and controls (n = 389,269). The prevalence of all CV risk factors was significantly elevated in PsA. Only the prevalence of DM and obesity was increased in RA. Incidence of hypertension, hyperlipidemia, and DM was elevated in PsA and RA. Receipt of therapy within 1 year following incident diagnosis of CV risk factors was not substantially different between the groups; approximately 85%, 65%, and 45% of patients received prescriptions for hypertension, hyperlipidemia, and DM, respectively.

conclusionPatients with PsA have an increased prevalence of CV risk factors, and both patients with PsA and patients with RA have increased incidence of a new diagnosis of CV risk factors. Pharmacologic treatment of CV risk factors in patients with PsA and RA was similar to controls in the UK.

Indexed as

AdolescentAdultAgedAged, 80 and overArthritis, PsoriaticArthritis, RheumatoidCardiovascular DiseasesCohort StudiesCross-Sectional StudiesFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedPrevalence

Identifiers

PMID27696731
PMCPMC5191972
OpenAlexW2528681387

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.