Evidence map›Paper›PMID 36759767›Full record

ArticleBMC primary care2023

Subclinical atherosclerosis burden in non-diabetic hypertensives treated in primary care center: the IMTABI study.

José M Ramírez-Torres, Antonio López-Téllez, María J Ariza, José Rioja, Natalia García-Casares, Elena E González Rodríguez, José A Ramírez García, Miguel A Sánchez Chaparro, Miguel A Barbancho, Pedro Valdivielso

Open access · goldAbstract read
In one paragraph

Article in BMC primary care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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 4 institutions in 1 country.

José M Ramírez-TorresCentro de Salud Puerta Blanca, Servicio Andaluz de Salud, Málaga, Spain.
Antonio López-TéllezCentro de Salud Puerta Blanca, Servicio Andaluz de Salud, Málaga, Spain.
María J ArizaLipids and Atherosclerosis Laboratory, Department of Medicine and Dermatology, Centro de Investigaciones Medico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain.
José RiojaLipids and Atherosclerosis Laboratory, Department of Medicine and Dermatology, Centro de Investigaciones Medico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain.
Natalia García-CasaresLipids and Atherosclerosis Laboratory, Department of Medicine and Dermatology, Centro de Investigaciones Medico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain.
Elena E González RodríguezCentro de Salud Puerta Blanca, Servicio Andaluz de Salud, Málaga, Spain.
José A Ramírez GarcíaCentro de Salud Puerta Blanca, Servicio Andaluz de Salud, Málaga, Spain.
Miguel A Sánchez ChaparroLipids and Atherosclerosis Laboratory, Department of Medicine and Dermatology, Centro de Investigaciones Medico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain.
Miguel A Barbancho *Departamento de Fisiología Humana, Universidad de Málaga, Málaga, Spain.
Pedro Valdivielso *Lipids and Atherosclerosis Laboratory, Department of Medicine and Dermatology, Centro de Investigaciones Medico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain. valdivielso@uma.es.
Andalusian Health Service · ESUniversidad de Málaga · ESHospital Clínico Universitario Virgen de la Victoria · ESInstituto de Investigación Biomédica de Málaga · ES

Funding

PAIDI CTS-159Sociedad Española de Arteriosclerosis 2018
6 · The paper itself

Abstract

backgroundIdentifying patients at high risk of cardiovascular disease in primary prevention is a challenging task. This study aimed at detecting subclinical atherosclerosis burden in non-diabetic hypertensive patients in a primary care centre.

methodsClinical, anthropometric and analytical data were collected from patients with hypertension who were free from clinical vascular disease and diabetes. The cardiovascular risk was assessed using the SCORE system. Subclinical atherosclerosis burden was assessed by carotid ultrasonography (intima-medial thickness [IMT] and plaque) and measurement of the ankle-brachial index (ABI).

resultsOut of 140 patients, 59 (42%) have carotid plaque, 32 (23%) have IMT higher than 75% and 12 (9%) have an ABI < 0.9. Total atherosclerosis burden was present in 91 (65%) of the subjects. Consequently, 59 (42%) patients were re-classified into the very high-risk category. In multivariate analyses, smoking, creatinine levels and duration of hypertension were associated with atherosclerosis burden. In contrast, only smoking and age were associated with the presence of carotid plaque. Almost 90% of patients were treated with hypotensive drugs, half of them combined several drugs and 60% were well-controlled. Only 30% received statins in monotherapy and only less than 20% had an LDL cholesterol < 100 mg/dL.

conclusionsIn non-diabetic hypertensive patients managed at a primary care centre, 4 out of 10 had subclinical atherosclerosis burden and were re-classified into the very high- risk category. There was clear undertreatment with lipid-lowering drugs of most LDL cholesterol inappropriate levels, according to current clinical guidelines.

Indexed as

AtherosclerosisHypertensionPlaque, AtheroscleroticCholesterol, LDLHumansPrimary Health CareRisk FactorsCholesterol, LDLAnkle-brachial indexAtherosclerotic burdenCardiovascular risk assessmentCarotid ultrasonographyHypertension

Identifiers

PMID36759767
PMCPMC9912653
OpenAlexW4319737498

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.