Evidence map›Paper›PMID 30308025›Full record

ArticlePloS one2018

Performances of five risk algorithms in predicting cardiovascular events in patients with Psoriatic Arthritis: An Italian bicentric study.

Luca Navarini, Domenico Paolo Emanuele Margiotta, Francesco Caso, Damiano Currado, Marco Tasso, Silvia Angeletti, Massimo Ciccozzi, Raffaele Scarpa, Antonella Afeltra, Luisa Costa

Open access · goldAbstract readEvaluation StudyMulticenter Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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  15. Psoriasis and Cardiovascular Disease: A Narrative Review.Korean journal of family medicine · 2021
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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

10 authors at 2 institutions in 1 country.

Luca NavariniUnit of Allergology, Cinical Immunology and Rheumatology, Università Campus Bio-Medico di Roma, Rome, Italy.ORCID 0000-0001-8537-1510
Domenico Paolo Emanuele MargiottaUnit of Allergology, Cinical Immunology and Rheumatology, Università Campus Bio-Medico di Roma, Rome, Italy.ORCID 0000-0002-3597-8645
Francesco CasoRheumatology Unit, Department of Clinical Medicine and Surgery, School of Medicine, University of Neaples Federico II, Neaples, Italy.ORCID 0000-0002-8928-2520
Damiano CurradoUnit of Allergology, Cinical Immunology and Rheumatology, Università Campus Bio-Medico di Roma, Rome, Italy.
Marco TassoRheumatology Unit, Department of Clinical Medicine and Surgery, School of Medicine, University of Neaples Federico II, Neaples, Italy.
Silvia AngelettiUnit of Clinical Laboratory Science, Università Campus Bio-Medico di Roma, Rome, Italy.
Massimo CiccozziUnit of Clinical Laboratory Science, Università Campus Bio-Medico di Roma, Rome, Italy.
Raffaele ScarpaRheumatology Unit, Department of Clinical Medicine and Surgery, School of Medicine, University of Neaples Federico II, Neaples, Italy.
Antonella AfeltraUnit of Allergology, Cinical Immunology and Rheumatology, Università Campus Bio-Medico di Roma, Rome, Italy.
Luisa CostaRheumatology Unit, Department of Clinical Medicine and Surgery, School of Medicine, University of Neaples Federico II, Neaples, Italy.
Università Campus Bio-Medico · ITFederico II University Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn patients with psoriatic arthritis (PsA) an increased cardiovascular (CV) risk has been observed. Recently, a EULAR taskforce suggested to use a multiplication by the factor of 1.5 of CV risk algorithms in patients with inflammatory arthritis. This study aims to evaluate the performance of five original and adapted according to EULAR recommendations CV risk algorithms in PsA: SCORE, CUORE, Framingham Risk Score (FRS), QRISK2, and Reynold's Risk Score (RRS).

methodsProspectively collected data from two Italian cohorts were used. Discriminatory ability for CV risk prediction was evaluated by the area under the ROC curves. Calibration between predicted and observed events was assessed by Hosmer-Lemeshow (HL) tests. Sensibility and specificity were calculated for low-to-intermediate and intermediate-to-high risk cut-offs.

resultsOne hundred fifty-five patients were enrolled with an observation of 1550 patient/years. Area under the ROC were 0.7679 (95% CI 0.64768 to 0.88812), 0.864 (95% CI 0.79675 to 0.93278), 0.7575 (95% CI 0.65784 to 0.85708), 0.8660 (95% CI 0.79428 to 0.93772), and 0.7183 (95% CI 0.57795 to 0.85862) for SCORE, CUORE, FRS, QRSIK2, and RRS, respectively. HL tests demonstrated poor model fit (p<0.05) for SCORE, CUORE, and RRS. Discriminative ability and calibration were not improved by adaption of the algorithms according to EULAR recommendations. Up to 80% of CV events occurred in patients at "low risk" and up to 93% of CV events in patients at "low-intermediate risk".

conclusionsAdaption of the CV risk algorithms according to EULAR indications did not provide improvement in discriminative ability and calibration in patients with PsA.

Indexed as

AlgorithmsRisk AssessmentAdultArthritis, PsoriaticCardiovascular DiseasesFemaleHumansItalyMaleMiddle AgedProspective StudiesRetrospective StudiesSensitivity and Specificity

Identifiers

PMID30308025
PMCPMC6181379
OpenAlexW2897965601

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.