Evidence map›Paper›PMID 36868585›Full record

ArticleLupus science & medicine2023

Generic and disease-adapted cardiovascular risk scores as predictors of atherosclerosis progression in SLE.

Stylianos Panopoulos, George C Drosos, George Konstantonis, Petros P Sfikakis, Maria G Tektonidou

Open access · goldAbstract read
In one paragraph

Article in Lupus science & medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.4field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  6. Observational
  7. Review
  8. Use of Glucocorticoids in SLE: A Clinical Approach.Mediterranean journal of rheumatology · 2024
    Review
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  10. Article
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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

5 authors at 1 institution in 1 country.

Stylianos PanopoulosRheumatology Unit, First Department of Propaedeutic Internal Medicine, Joint Academic Rheumatology Program, School of Medicine, National and Kapodistrian University of Athens, Laiko General Hospital, Athens, Greece.
George C DrososCardiovascular Risk Research Laboratory, First Department of Propaedeutic Internal Medicine, School of Medicine, National and Kapodistrian University of Athens, Laiko General Hospital, Athens, Greece.
George KonstantonisCardiovascular Risk Research Laboratory, First Department of Propaedeutic Internal Medicine, School of Medicine, National and Kapodistrian University of Athens, Laiko General Hospital, Athens, Greece.
Petros P SfikakisRheumatology Unit, First Department of Propaedeutic Internal Medicine, Joint Academic Rheumatology Program, School of Medicine, National and Kapodistrian University of Athens, Laiko General Hospital, Athens, Greece.
Maria G TektonidouRheumatology Unit, First Department of Propaedeutic Internal Medicine, Joint Academic Rheumatology Program, School of Medicine, National and Kapodistrian University of Athens, Laiko General Hospital, Athens, Greece mtektonidou@gmail.com.ORCID 0000-0003-2238-0975
National and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveStudies show that generic cardiovascular risk (CVR) prediction tools may underestimate CVR in SLE. We examined, for the first time to our knowledge, whether generic and disease-adapted CVR scores may predict subclinical atherosclerosis progression in SLE.

methodsWe included all eligible patients with SLE without a history of cardiovascular events or diabetes mellitus, who had a 3-year carotid and femoral ultrasound follow-up examination. Five generic (Systematic Coronary Risk Evaluation (SCORE), Framingham Risk Score (FRS), Pooled Cohort Risk Equation, Globorisk, Prospective Cardiovascular Münster) and three 'SLE-adapted' CVR scores (modified Systematic Coronary Risk Evaluation (mSCORE), modified Framingham Risk Score (mFRS), QRESEARCH Risk Estimator V.3 (QRISK3)) were calculated at baseline. The performance of CVR scores to predict atherosclerosis progression (defined as new atherosclerotic plaque development) was tested with Brier Score (BS), area under the receiver operating characteristic curve (AUROC) and Matthews correlation coefficient (MCC), while rank correlation was tested with Harrell's

resultsTwenty-six (21%) of 124 included patients (90% female, mean age 44.4±11.7 years) developed new atherosclerotic plaques after a mean of 39.7±3.8 months' follow-up period. Performance analysis showed that plaque progression was better predicted by the mFRS (BS 0.14, AUROC 0.80, MCC 0.22) and QRISK3 (BS 0.16, AUROC 0.75, MCC 0.25).

conclusionsApplication of SLE-adapted CVR scores such as QRISK3 or mFRS, as well as monitoring for glucocorticoid exposure and the presence of antiphospholipid antibodies, can help to improve CVR assessment and management in SLE.

Indexed as

AtherosclerosisCardiovascular DiseasesLupus Erythematosus, SystemicPlaque, AtheroscleroticAdultAntibodies, AntiphospholipidFemaleGlucocorticoidsHeart Disease Risk FactorsHumansMaleMiddle AgedProspective StudiesRisk FactorsAntibodies, AntiphospholipidGlucocorticoidsatherosclerosiscardiovascular diseasessystemic lupus erythematosusultrasonography

Identifiers

PMID36868585
PMCPMC9990693
OpenAlexW4323066835

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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.