Evidence map›Paper›PMID 36072873›Full record

ReviewFrontiers in cardiovascular medicine2022

Hypertension as a risk factor for atherosclerosis: Cardiovascular risk assessment.

Anastasia V Poznyak, Nikolay K Sadykhov, Andrey G Kartuesov, Evgeny E Borisov, Alexandra A Melnichenko, Andrey V Grechko, Alexander N Orekhov

Abstract readReview
In one paragraph

Review in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

106 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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46 more citing papers are in PubMed but not listed here.

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.

Anastasia V PoznyakInstitute for Atherosclerosis Research, Moscow, Russia.
Nikolay K SadykhovPetrovsky National Research Centre of Surgery, Moscow, Russia.
Andrey G KartuesovLaboratory of Angiopathology, Institute of General Pathology and Pathophysiology, Moscow, Russia.
Evgeny E BorisovPetrovsky National Research Centre of Surgery, Moscow, Russia.
Alexandra A MelnichenkoLaboratory of Angiopathology, Institute of General Pathology and Pathophysiology, Moscow, Russia.
Andrey V GrechkoFederal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
Alexander N OrekhovInstitute for Atherosclerosis Research, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis is a predecessor of numerous cardiovascular diseases (CVD), which often lead to morbidity and mortality. Despite the knowledge of the pathogenesis of atherosclerosis, an essential gap in our understanding is the exact trigger mechanism. A wide range of risk factors have been discovered; however, a majority of them are too general to clarify the launching mechanism of atherogenesis. Some risk factors are permanent (age, gender, genetic heritage) and others can be modified [tobacco smoking, physical inactivity, poor nutrition, high blood pressure, type 2 diabetes (T2D), dyslipidemia, and obesity]. All of them have to be taken into account. In the scope of this review, our attention is focused on hypertension, which is considered the most widespread among all modifiable risk factors for atherosclerosis development. Moreover, high blood pressure is the most investigated risk factor. The purpose of this review is to summarize the data on hypertension as a risk factor for atherosclerosis development and the risk assessment.

Indexed as

atherosclerosiscardiovascular diseasecardiovascular riskhypertensionvessels

Identifiers

PMID36072873
PMCPMC9441708

What OpenQuestion holds

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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.