Evidence map›Paper›PMID 26607570›Full record

ArticleBMC public health2015

Potentially preventable premature deaths in women and men from the two leading causes of death in Austria, mortality statistics of the nine federal states 2010-2012.

Éva Rásky, Erwin Stolz, Nathalie Tatjana Burkert, Franziska Großschädl

Abstract read
In one paragraph

Article in BMC public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

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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

1 citing paper in PubMed.

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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.

Éva RáskyInstitute of Social Medicine and Epidemiology, Medical University of Graz, 8010, Graz, Austria. eva.rasky@medunigraz.at.
Erwin StolzInstitute of Social Medicine and Epidemiology, Medical University of Graz, 8010, Graz, Austria. erwin.stolz@medunigraz.at.
Nathalie Tatjana BurkertInstitute of Social Medicine and Epidemiology, Medical University of Graz, 8010, Graz, Austria. nathalie.burkert@medunigraz.at.
Franziska GroßschädlInstitute of Social Medicine and Epidemiology, Medical University of Graz, 8010, Graz, Austria. franziska.grossschaedl@medunigraz.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Austria, mortality from diseases of the circulatory system and malignant neoplasms is high and varies among the federal states. Lower mortality in some states indicates a preventive potential in those states with higher mortality.

methodsWe computed the number of premature deaths, for women and men separately, from the two leading causes of death, diseases of the circulatory system (ICD-10: I00-I09) and cancer (ICD-10: C00-C97), in the nine Austrian federal states between 2010-2012. The potentially preventable deaths per federal state and sex were calculated by subtracting expected deaths from observed deaths.

resultsThe western federal states had the lowest death rates, and thus the smallest preventive potential. In death from circulatory diseases and from cancer the differences between women and men varied remarkably between the federal states. For circulatory diseases among all federal states the highest difference in percent was given in Vorarlberg (6.2%) with more potentially preventable deaths for men. For cancer, Burgenland had the highest difference (8.6%) in comparison with the other federal states, again with the higher preventive potential for men.

conclusionsIntervention programs as lifestyle modification interventions as well as improvements in health care services provision, should focus on the characteristics of the specific federal state, which are setting-oriented and account for social determinants including sex/gender differences and economic factors. Relevant data gathering is therefore, urgently needed.

Indexed as

Mortality, PrematureAdolescentAdultAgedAustriaCardiovascular DiseasesCause of DeathChildChild, PreschoolFemaleHumansInfantInfant, NewbornInternational Classification of DiseasesMaleMiddle Aged

Identifiers

PMID26607570
PMCPMC4660607

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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.