Evidence map›Paper›PMID 30798347›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2019

Higher prevalence of heart failure in rural regions: a population-based study covering 87% of German inhabitants.

Jakob Holstiege, Manas K Akmatov, Stefan Störk, Annika Steffen, Jörg Bätzing

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

13 citing papers in PubMed.

  1. Trial
  2. Design and rationale of the WE-CARE-HF-CMR trial: Cardiorenal care on wheels for asymptomatic heart failure patients (NCT07185100).Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026
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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

5 authors.

Jakob HolstiegeDepartment of Regional Health Care Analysis and Health Care Atlas, Central Research Institute of Ambulatory Health Care in Germany (ZI), Salzufer 8, 10587, Berlin, Germany. jholstiege@zi.de.ORCID http://orcid.org/0000-0003-1337-6640
Manas K AkmatovDepartment of Regional Health Care Analysis and Health Care Atlas, Central Research Institute of Ambulatory Health Care in Germany (ZI), Salzufer 8, 10587, Berlin, Germany.ORCID http://orcid.org/0000-0003-2310-3179
Stefan StörkComprehensive Heart Failure Center, University of Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0002-1771-7249
Annika SteffenDepartment of Regional Health Care Analysis and Health Care Atlas, Central Research Institute of Ambulatory Health Care in Germany (ZI), Salzufer 8, 10587, Berlin, Germany.ORCID http://orcid.org/0000-0003-4072-9245
Jörg BätzingDepartment of Regional Health Care Analysis and Health Care Atlas, Central Research Institute of Ambulatory Health Care in Germany (ZI), Salzufer 8, 10587, Berlin, Germany.ORCID http://orcid.org/0000-0001-7609-8559

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSo far the extent of regional variation of heart failure (HF) prevalence in Germany is unknown.

methodsUsing a full sample of nationwide claims data covering ambulatory care of approximately 87% of the German population, this study aimed to (i) examine regional differences of HF prevalence on the level of 402 German administrative districts and (ii) investigate factors associated with HF prevalence. This study included all statutory health-insured patients aged ≥ 40 years in 2017, comprising about 40 million individuals. Age- and sex-standardized HF prevalence was estimated on the district level. Two-level logistic regression analysis was employed to study the influence of the district-related factors degree of urbanisation and regional socio-economic status on HF diagnosis, adjusted for the individual's age and sex.

resultsHF prevalence in 2017 was 6.0%. Standardized prevalence on the district level varied by a factor of 4.3 (range 2.8-11.9%). Regional socio-economic status and degree of urbanisation were independently associated with HF prevalence. The prevalence increased with decreasing degree of urbanisation. The adjusted risk of suffering from HF was 40% higher in 'rural areas with a low population density' as compared to 'big urban municipalities' (odds ratio 1.40, 99% CI 1.24-1.59).

conclusionStrong regional variations in HF prevalence may inform future public health policies regarding targeted resource planning and prevention strategies. High prevalence in areas with low population density adds to the challenge of ensuring universal access to health services in rural German regions.

Indexed as

Population SurveillanceRural PopulationAgedAged, 80 and overAge DistributionFemaleGermanyHeart FailureHumansMalePrevalenceRetrospective StudiesAdultsClaims dataGermanyHeart failurePrevalence

Identifiers

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Registered trials

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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.