Evidence map›Paper›PMID 28087832›Full record

ArticleRheumatology (Oxford, England)2017

Comparison of cardiovascular risk algorithms in patients with vs without rheumatoid arthritis and the role of C-reactive protein in predicting cardiovascular outcomes in rheumatoid arthritis.

Evo Alemao, Hélène Cawston, François Bourhis, Maiwenn Al, Maureen Rutten-van Molken, Katherine P Liao, Daniel H Solomon

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Rheumatology (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

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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

7 authors.

Evo AlemaoWorldwide Health Economics and Outcomes Research, Bristol-Myers Squibb, Princeton, NJ, USA.
Hélène CawstonReal World Strategy & Analytics, MAPI, Nanterre, France.
François BourhisReal World Strategy & Analytics, MAPI, Nanterre, France.
Maiwenn AlInstitute of Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Maureen Rutten-van MolkenInstitute of Medical Technology Assessment, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Katherine P LiaoDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA.
Daniel H SolomonDivision of Rheumatology, Immunology and Allergy, Brigham and Women's Hospital, Boston, MA, USA.

Funding

Lipids, Inflammation, and Cardiovascular Risk in Rheumatoid ArthritisR01HL127118 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LIAO, KATHERINE PHOENIX · 2016 to 2020
$4.1M
Genetic Risk Factors for Coronary Artery Disease in Rheumatoid ArthritisK08AR060257 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI LIAO, KATHERINE PHOENIX · 2011 to 2015
$649k
NHLBI NIH HHS R01 HL127118NIAMS NIH HHS K08 AR060257
6 · The paper itself

Abstract

Objectives: The aims were to compare the performance of cardiovascular risk calculators, Framingham Risk Score (FRS) and QRISK2, in RA and matched non-RA patients and to evaluate whether their performance could be enhanced by the addition of CRP. Methods: We conducted a retrospective analysis, using a clinical practice data set linked to Hospital Episode Statistics (HES) data from the UK. Patients presenting with at least one RA diagnosis code and no prior cardiovascular events were matched to non-RA patients using disease risk scores. The overall performance of the FRS and QRISK2 was compared between cohorts, and assessed with and without CRP in the RA cohort using C-Index, Akaike Information Criterion (AIC) and the net reclassification index (NRI). Results: Four thousand seven hundred and eighty RA patients met the inclusion criteria and were followed for a mean of 3.8 years. The C-Index for the FRS in the non-RA and RA cohort was 0.783 and 0.754 (P < 0.001) and that of the QRISK2 was 0.770 and 0.744 (P < 0.001), respectively. Log[CRP] was positively associated with cardiovascular events, but improvements in the FRS and QRISK2 C-Indices as a result of inclusion of CRP were small, from 0.764 to 0.767 (P = 0.026) for FRS and from 0.764 to 0.765 (P = 0.250) for QRISK2. The NRI was 3.2% (95% CI: -2.8, 5.7%) for FRS and -2.0% (95% CI: -5.8, 4.5%) for QRISK2. Conclusion: The C-Index for the FRS and QRISK2 was significantly better in the non-RA compared with RA patients. The addition of CRP in both equations was not associated with a significant improvement in reclassification based on NRI.

Indexed as

AlgorithmsAdolescentAdultAgedAge FactorsArthritis, RheumatoidCardiovascular DiseasesC-Reactive ProteinFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsSeverity of Illness IndexC-Reactive ProteincardiovascularCoxC-reactive proteinnet reclassification indexretrospectiverheumatoid arthritisrisk algorithmsurvival

Identifiers

PMID28087832
PMCPMC8344293

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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.