Evidence map›Paper›PMID 29201917›Full record

ArticleBioMed research international2017

The Prognostic Value of Combined Smoking and Alcohol Consumption Habits for the Estimation of Cause-Specific Mortality in Middle-Age and Elderly Population: Results from a Long-Term Cohort Study in Lithuania.

Dalia Luksiene, Abdonas Tamosiunas, Dalia Virviciute, Ricardas Radisauskas

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Article in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 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

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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, 2 syntheses or guidelines pooled it.

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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

4 authors.

Dalia LuksieneLaboratory of Population Studies, Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.ORCID 0000-0002-7157-4090
Abdonas TamosiunasLaboratory of Population Studies, Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Dalia VirviciuteLaboratory of Population Studies, Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Ricardas RadisauskasLaboratory of Population Studies, Institute of Cardiology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the prognostic value of combined smoking and alcohol consumption habits for the estimation of cause-specific mortality risk in middle-age and elderly population.

methodsThe study presents data from the four surveys. A random sample of 6,729 subjects aged 35-64 years was selected for statistical analysis. During the follow-up of 31 years (1983-2014), there were 2,158 deaths from any cause. Multivariate Cox's proportional hazards models were used to estimate hazard ratios (HR) for all-cause mortality and Competing Risk Regression analysis was used to estimate subdistribution hazard risk (SHR) for cause-specific mortality.

resultsSmoking clearly increased the risk of all-cause mortality and mortality from cancer and cardiovascular disease (CVD), but alcohol use had little effect in men aged 35-64 years. However, heavy alcohol consumption (>14 units/week) increased the risk of all-cause mortality and mortality from external causes in the never-smokers men group who drank alcohol of 1-14 units/week (HR 2 = 1.57 and SHR 2 = 2.40, resp.).

conclusionsThe smoking habits and alcohol consumption are modifiable risk factors, and thus efforts to support abstinence from alcohol and smoking use should be a public health priority.

Indexed as

PrognosisAdultAgedAged, 80 and overAlcohol DrinkingCardiovascular DiseasesCause of DeathCohort StudiesFemaleHumansLithuaniaMaleMiddle AgedMortalityProportional Hazards ModelsRisk Factors

Identifiers

PMID29201917
PMCPMC5671688

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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.