Evidence map›Paper›PMID 24955583›Full record

Trial reportPloS one2014

Trends in prevalence of dyslipidaemias and the risk of mortality in Lithuanian urban population aged 45-64 in relation to the presence of the dyslipidaemias and the other cardiovascular risk factors.

Dalia Luksiene, Abdonas Tamosiunas, Migle Baceviciene, Ricardas Radisauskas, Vilija Malinauskiene, Anne Peasey, Martin Bobak

Open access · goldAbstract readMulticenter StudyRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. 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 2 countries.

Dalia LuksieneInstitute of Cardiology, Academy of Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Abdonas TamosiunasInstitute of Cardiology, Academy of Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Migle BacevicieneInstitute of Cardiology, Academy of Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Ricardas RadisauskasInstitute of Cardiology, Academy of Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Vilija MalinauskieneInstitute of Cardiology, Academy of Medicine, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Anne PeaseyDepartment of Epidemiology and Public Health, University College London, London, United Kingdom.
Martin BobakDepartment of Epidemiology and Public Health, University College London, London, United Kingdom.
Lithuanian University of Health Sciences · LTUniversity College London · GB

Funding

Health disparities and agingin societies in transitionR01AG023522 · NIA · UNIVERSITY COLLEGE LONDON · PI MARMOT, MICHAEL G · 2004 to 2008
$2.2M
NIA NIH HHS 1R0I AG23522NIA NIH HHS R01 AG023522Wellcome TrustWellcome Trust 081081/Z/06/Z
6 · The paper itself

Abstract

unlabelledThe aim of this study was to provide reliable information on dyslipidaemias, to estimate the trend of the prevalence of dyslipidaemias and other selected cardiovascular disease (CVD) risk factors at population level, and to evaluate the risk of all-cause and CVD mortality in relation to presence of mixed dyslipidaemias and other CVD risk factors.

methodsData from the five surveys (1983-2008) are presented. A random sample of 9,209 subjects aged 45-64 was selected for statistical analysis. During follow-up there were 1653 death cases from any cause, 864 deaths from CVD. Estimates of hazard ratios (HR) and 95% confidence intervals (CI) were based on the multivariate Cox proportional hazards regression for all-cause mortality and CVD mortality.

resultsDuring 25 year period the prevalence of normal total cholesterol level (<5.2 mmol/L) significantly increased only in women; triglycerides and high density lipoprotein (HDL) cholesterol did not change in men and women. Findings in our longitudinal study showed that in men and women mixed dyslipidaemias (HDL cholesterol <1.03 mmol/L plus triglycerides ≥1.70 mmol/L) significantly increased the risk for all-cause and CVD mortality (respectively in men HR = 1.30; HR = 1.15, in women HR = 1.83; HR = 2.13). These mixed dyslipidaemia combinations combination with the other risk factors such as arterial hypertension, high fasting glucose level increased all-cause and CVD mortality risk in men and women; while, these mixed dyslipidaemias plus smoking increased all-cause and CVD mortality risk only in men compared to never smokers without these dyslipidaemias (respectively HR = 1.89; HR = 1.92); and these dyslipidaemias plus obesity increased all-cause and CVD mortality risk in women (respectively HR = 2.25; HR = 2.39) and CVD mortality risk in men (HR = 1.72), as compared to responders without obesity and these dyslipidaemias.

conclusionMixed dyslipidaemias (reduced HDL cholesterol plus elevated triglycerides) significantly increased the risk for all-cause and CVD mortality in this Lithuanian population aged 45-64 years.

Indexed as

Urban PopulationCardiovascular DiseasesCholesterol, HDLDyslipidemiasFemaleHumansLithuaniaMaleMiddle AgedPrevalenceRisk FactorsCholesterol, HDL

Identifiers

PMID24955583
PMCPMC4067295
OpenAlexW2024837263

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.