Evidence map›Paper›PMID 34943599›Full record

ArticleDiagnostics (Basel, Switzerland)2021

SCORE2 Assessment in the Calculation of Cardiovascular Risk in Patients with Rheumatoid Arthritis.

Iván Ferraz-Amaro, Alfonso Corrales, Belén Atienza-Mateo, Nuria Vegas-Revenga, Diana Prieto-Peña, Julio Sánchez-Martín, Cristina Almeida, Juan Carlos Quevedo-Abeledo, Ricardo Blanco, Miguel Á González-Gay

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Iván Ferraz-AmaroDivision of Rheumatology, Hospital Universitario de Canarias, 38320 Tenerife, Spain.ORCID 0000-0003-0197-5267
Alfonso CorralesDivision of Rheumatology, Hospital Universitario Marqués de Valdecilla, Universidad de Cantabria, 39008 Santander, Spain.
Belén Atienza-MateoDivision of Rheumatology, Hospital Universitario Marqués de Valdecilla, Universidad de Cantabria, 39008 Santander, Spain.ORCID 0000-0001-7119-0786
Nuria Vegas-RevengaDivision of Rheumatology, Hospital Universitario Marqués de Valdecilla, Universidad de Cantabria, 39008 Santander, Spain.
Diana Prieto-PeñaDivision of Rheumatology, Hospital Universitario Marqués de Valdecilla, Universidad de Cantabria, 39008 Santander, Spain.
Julio Sánchez-MartínDivision of Rheumatology, Hospital Universitario Marqués de Valdecilla, Universidad de Cantabria, 39008 Santander, Spain.
Cristina AlmeidaDivision of Rheumatology, Hospital Doctor Negrín, 35010 Las Palmas de Gran Canaria, Spain.
Juan Carlos Quevedo-AbeledoDivision of Rheumatology, Hospital Doctor Negrín, 35010 Las Palmas de Gran Canaria, Spain.
Ricardo BlancoDivision of Rheumatology, Hospital Universitario Marqués de Valdecilla, Universidad de Cantabria, 39008 Santander, Spain.ORCID 0000-0003-2344-2285
Miguel Á González-GayDivision of Rheumatology, Hospital Universitario Marqués de Valdecilla, Universidad de Cantabria, 39008 Santander, Spain.ORCID 0000-0002-7924-7406
Universidad de Cantabria · ESHospital Universitario de Gran Canaria Doctor Negrín · ESUniversidad de La Laguna · ES

Funding

Instituto de Salud Carlos III PI18/00043
6 · The paper itself

Abstract

Patients with rheumatoid arthritis (RA) are at increased risk for cardiovascular disease (CVD). Risk chart algorithms, such as the Systematic Coronary Risk Assessment (SCORE), often underestimate the risk of CVD in patients with RA. In this sense, the use of noninvasive tools, such as the carotid ultrasound, has made it possible to identify RA patients at high risk of CVD who had subclinical atherosclerosis disease and who had been included in the low or moderate CVD risk categories when the SCORE risk tables were applied. The 2003 SCORE calculator was recently updated to a new prediction model: SCORE2. This new algorithm improves the identification of individuals from the general population at high risk of developing CVD in Europe. Our objective was to compare the predictive capacity between the original SCORE and the new SCORE2 to identify RA patients with subclinical atherosclerosis and, consequently, high risk of CVD. 1168 non-diabetic patients with RA and age > 40 years were recruited. Subclinical atherosclerosis was searched for by carotid ultrasound. The presence of carotid plaque and the carotid intima media wall thickness (cIMT) were evaluated. SCORE and SCORE2 were also calculated. The relationships of SCORE and SCORE2 to each other and to the presence of subclinical carotid atherosclerosis were studied. The correlation between SCORE and SCORE2 was found to be high in patients with RA (Spearman's Rho = 0.961,

Indexed as

cardiovascular risk assessmentcarotid ultrasoundrheumatoid arthritisSCORESCORE2

Identifiers

PMID34943599
PMCPMC8700102
OpenAlexW4200337606

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.