Evidence map›Paper›PMID 32384878›Full record

ArticleBMC family practice2020

Care management of patients with high cardiovascular risk in Hungary an international and Hungarian longitudinal comparison of target level achievement.

Zoltán Jancsó, Imre Rurik, László Kolozsvári, Lajos Mester, Anna Nánási, Csaba Oláh, Tímea Ungvári, Katalin Vraukó TCs, László Kalabay, Péter Torzsa

Open access · goldAbstract read
In one paragraph

Article in BMC family practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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 4 institutions in 1 country.

Zoltán JancsóDepartment of Family and Occupational Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary.
Imre RurikDepartment of Family and Occupational Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary.
László KolozsváriDepartment of Family and Occupational Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary.
Lajos MesterInstitute of Family Medicine, Faculty of Medicine, University of Szeged, Szeged, Hungary.
Anna NánásiDepartment of Family and Occupational Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary.
Csaba OláhCentral and University Teaching Hospital of Borsod-Abaúj-Zemplén County, Miskolc, Hungary.
Tímea UngváriDepartment of Family and Occupational Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary.
Katalin Vraukó TCsDepartment of Family and Occupational Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary.
László KalabayDepartment of Family Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
Péter TorzsaDepartment of Family Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary. torzsa.peter@med.semmelweis-univ.hu.ORCID 0000-0002-8148-4961
University of Debrecen · HUSemmelweis University · HUBorsod-Abaúj-Zemplén Megyei Kórház és Egyetemi Oktató Kórház · HUUniversity of Szeged · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with high cardiovascular risk are usually cared for in primary care settings. Assessment of the effectiveness of long-time care was a subject of many European studies in the last two decades. This paper aims to present two Hungarian primary care cross sectional surveys and to compare their results to the primary care arms of the European Action on Secondary and Primary Prevention by Intervention to Reduce Events (EUROASPIRE) III. and IV. STUDIES:

methodsBetween 2010 and 2011, 679 patients with high cardiovascular risk were recruited in 20 Hungarian primary care practices and 628 patients were selected in 40 practices between 2015 and 2016. The actual national recommendations were used for classification, all based on European guidelines. Achievements of target levels for blood pressure, total-, LDL-and HDL-cholesterols, triglyceride, and HbA

resultsThere was a statistically significant improvement in the management of blood-pressure and plasma LDL-cholesterol levels among high risk patients, while there was no change in the plasma triglyceride values. The effectiveness of diabetes care deteriorated. In international relation, the management of blood pressure and plasma LDL-cholesterol values were better in Hungary when compared to the results of EUROASPIRE III-IV. studies, while the previous advantage in diabetes care disappeared. A higher proportion of diabetic patients was above the target values in Hungary than the means of the European surveys. There was a higher proportion of smokers in the Hungarian samples, while the proportion of obese and overweight patients was similar to the European sample.

conclusionsPrimary care has a unique role in cardiovascular prevention. Although many of the patients are managed appropriately, there is a need to improve primary care services in Hungary, giving more competences to GPs in prescription and introducing structural changes in the healthcare system.

Indexed as

Primary Health CareAdultAgedCardiovascular DiseasesCase ManagementCholesterolCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleGlycated HemoglobinHeart Disease Risk FactorsHumansHungaryMaleMiddle AgedObesityCholesterolGlycated Hemoglobinhemoglobin A1c protein, humanTriglyceridesCardiovascular preventionCardiovascular riskDiabetes type 2DyslipidemiaEUROASPIREHigh risk patientsHungaryHypertensionPrimary careTarget level

Identifiers

PMID32384878
PMCPMC7210674
OpenAlexW3021556512

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.