Evidence map›Paper›PMID 28493105›Full record

Observational studyThe international journal of cardiovascular imaging2017

Association between cardiovascular disease risk scores and subclinical atherosclerosis prevalence in non-elderly adult patients from Argentina.

Ricardo A Albertini, Dario G Ferrer, Pablo A Romagnoli, María E Tinti, José L Amigone, Raúl Capra, Gustavo A Chiabrando

Open access · bronzeAbstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in The international journal of cardiovascular imaging, 2017. 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
0.2field-weighted citation impact, top 44% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  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 2 institutions in 1 country.

Ricardo A AlbertiniHospital Privado Universitario de Córdoba, Naciones Unidas 346, Córdoba, Argentina.
Dario G FerrerHospital Privado Universitario de Córdoba, Naciones Unidas 346, Córdoba, Argentina.
Pablo A RomagnoliInstituto Universitario de Ciencias Biomédicas de Córdoba, Friuli 2786, CP 5016, Córdoba, Argentina.
María E TintiHospital Privado Universitario de Córdoba, Naciones Unidas 346, Córdoba, Argentina.
José L AmigoneHospital Privado Universitario de Córdoba, Naciones Unidas 346, Córdoba, Argentina.
Raúl CapraHospital Privado Universitario de Córdoba, Naciones Unidas 346, Córdoba, Argentina.
Gustavo A ChiabrandoCentro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI) CONICET. Departamento de Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Haya de la Torre y Medina Allende, CP 5000, Córdoba, Argentina. gustavo@fcq.unc.edu.ar.
Hospital Privado · ARConsejo Nacional de Investigaciones Científicas y Técnicas · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of our study was to use statistical analysis to try to associate cardiovascular disease (CVD) risk scores and the observed prevalence of subclinical atherosclerosis (SA) in a non-elderly adult local population. An observational cross-sectional study was carried out (143 male and 131 female) on non-elderly adults (20-59 years). CVD risk scores included Framingham Risk Scores for 10-year hard (FRS 10 H), 30-year lipid hard or CVD (FRS 30 L H or FRS 30 L CVD), 30 year-body mass index hard or CVD (FRS 30 BMI H or FRS 30 BMI CVD) and Pooled Cohort Risk Equations for either 10 years (PCE 10) or lifetime (PCE LT). The Carotid Ultrasound (CU) study was performed and the Coronary Artery Calcium (CAC) score were obtained to assess SA. The Receiving Operating Characteristic (ROC) curve analysis followed by Youden's index was used to evaluate and adjust the stratification of CVD risk scores. SA was detected in 32.4% of individuals. The risk scores that showed the biggest areas under the ROC curve were FRS 30 L (H and CVD). When the cut-off values for these CVD risk scores were adjusted, the FRS 30 L H increased the negative predictive value for the low risk group from 87.7 to 97.0% and the FRS 30 L CVD increased the positive predictive values for the high risk group from 69.7 to 85.7%. The CVD risk stratification of non-elderly adults using FRS 30 L H and FRS 30 L CVD may be a useful tool for selecting candidate patients for diagnostic imaging studies that assess their SA prevalence.

Indexed as

Decision Support TechniquesAdultAge FactorsArea Under CurveArgentinaAsymptomatic DiseasesCarotid Artery DiseasesCarotid Intima-Media ThicknessChi-Square DistributionComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCross-Sectional StudiesFemaleHumansMaleArgentinaCardiovascular diseaseFramingham risk scoresPooled cohort equationsSubclinical atherosclerosis

Identifiers

PMID28493105
OpenAlexW2614002537

What OpenQuestion holds

Textmetadata
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.