Evidence map›Paper›PMID 25713628›Full record

ArticleJournal of medicine and life

Utility of different cardiovascular disease prediction models in rheumatoid arthritis.

A Purcarea, S Sovaila, G Udrea, E Rezus, A Gheorghe, C Tiu, V Stoica

Open access · greenAbstract read
In one paragraph

Article in Journal of medicine and life. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
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 at 4 institutions in 3 countries.

A PurcareaStrasbourg Medical University, Civil Hospital Strasbourg, Internal Medicine Department, France ; "Carol Davila" University of Medicine and Pharmacy, "Cantacuzino" Hospital, Internal Medicine and Rheumatology Department, Bucharest, Romania.
S SovailaCivil Hospital Strasbourg, Internal Medicine Department, France.
G Udrea"Carol Davila" University of Medicine and Pharmacy, "Cantacuzino" Hospital, Internal Medicine and Rheumatology Department, Bucharest, Romania.
E Rezus"Grigore T. Popa" University of Medicine and Pharmacy, Rheumatology Department, Iasi, Romania.
A GheorgheGeomed-Klinik Hospital, Gerolzhofen, Internal Medicine Department, Germany.
C Tiu"Carol Davila" University of Medicine and Pharmacy, University Emergency Hospital, Neurology Department, Bucharest, Romania.
V Stoica"Carol Davila" University of Medicine and Pharmacy, "Cantacuzino" Hospital, Internal Medicine and Rheumatology Department, Bucharest, Romania.
Carol Davila University of Medicine and Pharmacy · ROGrigore T. Popa University of Medicine and Pharmacy · ROHôpital Civil, Strasbourg · FRSiloah St. Trudpert Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRheumatoid arthritis comes with a 30% higher probability for cardiovascular disease than the general population. Current guidelines advocate for early and aggressive primary prevention and treatment of risk factors in high-risk populations but this excess risk is under-addressed in RA in real life. This is mainly due to difficulties met in the correct risk evaluation. This study aims to underline the differences in results of the main cardiovascular risk screening models in the real life rheumatoid arthritis population.

methodsIn a cross-sectional study, patients addressed to a tertiary care center in Romania for an biannual follow-up of rheumatoid arthritis and the ones who were considered free of any cardiovascular disease were assessed for subclinical atherosclerosis. Clinical, biological and carotidal ultrasound evaluations were performed. A number of cardiovascular disease prediction scores were performed and differences between tests were noted in regard to subclinical atherosclerosis as defined by the existence of carotid intima media thickness over 0,9 mm or carotid plaque.

resultsIn a population of 29 Romanian rheumatoid arthritis patients free of cardiovascular disease, the performance of Framingham Risk Score, HeartSCORE, ARIC cardiovascular disease prediction score, Reynolds Risk Score, PROCAM risk score and Qrisk2 score were compared. All the scores under-diagnosed subclinical atherosclerosis. With an AUROC of 0,792, the SCORE model was the only one that could partially stratify patients in low, intermediate and high-risk categories. The use of the EULAR recommended modifier did not help to reclassify patients.

conclusionThe only score that showed a statistically significant prediction capacity for subclinical atherosclerosis in a Romanian rheumatoid arthritis population was SCORE. The additional calibration or the use of imaging techniques in CVD risk prediction for the intermediate risk category might be warranted.

Indexed as

Models, BiologicalArea Under CurveArthritis, RheumatoidCardiovascular DiseasesCarotid Intima-Media ThicknessFemaleHumansMaleMiddle AgedReference StandardsRisk FactorsROC Curvecardiovascular disease prediction modelscarotid intima mediarheumatoid arthritisrisk assessmentSCORE

Identifiers

PMID25713628
PMCPMC4316145
OpenAlexW345452547

What OpenQuestion holds

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LicenceCC BY
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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.