Evidence map›Paper›PMID 36527244›Full record

ArticleEndocrinology, diabetes & metabolism2023

A population-based cohort of adult patients with diabetes mellitus in a Western District of Austria: The Diabetes Landeck cohort.

Veronika Haslwanter, Ursula Rochau, Uwe Siebert, Hans-Robert Schönherr, Willi Oberaigner

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Article in Endocrinology, diabetes & metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Veronika HaslwanterDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria.ORCID 0000-0002-0825-7009
Ursula RochauDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria.ORCID 0000-0003-1077-2058
Uwe SiebertDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria.ORCID 0000-0001-6425-7671
Hans-Robert SchönherrDepartment of Internal Medicine, St. Vinzenz Hospital Zams, Zams, Austria.
Willi OberaignerDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria.ORCID 0000-0003-4142-8401

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes mellitus (DM) has become an important and exacerbating health epidemic, with severe consequences for both patients and health systems. The National Diabetes Strategy of Austria addresses the lack of high-quality data on DM in Austria and the need for developing a national data network. The aims of our study are to establish a cohort including all adult diabetes patients in a district in western Austria, describe the demographic and clinical characteristics of this cohort, and provide an estimation of diabetes prevalence.

methodsWe recruited a population-based cohort of adult patients with a diagnosis of DM in cooperation with a network of all caregivers. Data collection was based on a case report form, including patient characteristics, clinical parameters and long-term complications.

resultsIn total, 1845 patients with DM were recruited and analysed. We observed an overall prevalence of 5.3% [95% CI: 5.0%-5.5%]. For the subsequent main analysis, we included 1755 patients with DM after excluding 90 patients with gestational DM. There were significant differences between genders in the distribution of specific clinical parameters, patient characteristics, and the long-term complications diabetic foot, amputation and cardiovascular disease.

conclusionTo the best of our knowledge, we established the first diabetes cohort study in Austria. Prevalence and the proportion of specific long-term complications were lower when compared to the international context. We assume that the Diabetes Landeck Cohort has reached a high degree of completeness; however, we were not able to identify independent data sources for a valid check of completeness.

Indexed as

Diabetes MellitusDiabetic FootAdultAustriaCohort StudiesFemaleHumansMalediabetes mellitusgenderprevalence

Identifiers

PMID36527244
PMCPMC10000636

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