Evidence map›Paper›PMID 29867292›Full record

ArticleEuropean heart journal supplements : journal of the European Society of Cardiology2014

Association of major cardiovascular risk factors with the development of acute coronary syndrome in Lithuania.

Indrė Čeponienė, Diana Žaliaduonytė-Pekšienė, Olivija Gustienė, Abdonas Tamošiūnas, Remigijus Žaliūnas

Open access · bronzeAbstract read
In one paragraph

Article in European heart journal supplements : journal of the European Society of Cardiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 38% 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, 7 citations in OpenAlex.

  1. Observational
  2. Review
  3. Article
  4. 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

5 authors at 1 institution in 1 country.

Indrė ČeponienėDepartment of Cardiology, Lithuanian University of Health Sciences, Eivenių str. 2, Kaunas 50009, Lithuania.
Diana Žaliaduonytė-PekšienėDepartment of Cardiology, Lithuanian University of Health Sciences, Eivenių str. 2, Kaunas 50009, Lithuania.
Olivija GustienėDepartment of Cardiology, Lithuanian University of Health Sciences, Eivenių str. 2, Kaunas 50009, Lithuania.
Abdonas TamošiūnasInstitute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Remigijus ŽaliūnasDepartment of Cardiology, Lithuanian University of Health Sciences, Eivenių str. 2, Kaunas 50009, Lithuania.
Lithuanian University of Health Sciences · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular (CV) disease remains the leading cause of death in Lithuania. Timely recognition of CV risk factors and intervention to reduce these risk factors is of absolute importance to prevent coronary heart disease and reduce its burden on society. This study aimed to compare the prevalence of major CV risk factors in general population and acute coronary syndrome (ACS) patients and to determine their association with the development of ACS. Five hundred and twenty-three ACS patients and 645 age- and gender-matched control subjects were enrolled in the study. Smoking, dyslipidaemia, diabetes, and hypertension, but not overweight or obesity, were significantly more prevalent in the ACS patients, compared with control group. The prevalence of smoking, overweight or obesity, and dyslipidaemia were significantly higher in younger patients. Hypertension was highly prevalent in all age subgroups. More than a half of all patients aged <45 years had three or four CV risk factors. Smoking [odds ratio (OR), 7.03,

Indexed as

Acute coronary syndromeCardiovascular risk factorsPrevention

Identifiers

PMID29867292
PMCPMC5975602
OpenAlexW2271378637

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.