ReviewDer Nervenarzt2020
[Comparability of different data sources on stroke care in Germany].
Review in Der Nervenarzt, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Acute Ischemic Stroke Treatment in Germany (2015-2023): Nationwide Trends in Thrombolysis and Thrombectomy by Age and Sex.Brain sciences · 2025Article
- [Specialization of Acute Stroke Care in Germany: Structural Changes During 2006-2017].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2023Article
- The impact of DRG on resource consumption of inpatient with ischemic stroke.Frontiers in public health · 2023Article
- Article
- Comparison of stroke care parameters in acute ischemic stroke patients with and without concurrent Covid-19. A Nationwide analysis.Neurological research and practice · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article reviews different methodological approaches for determining treatment reality of ischemic stroke patients in acute care hospitals. Considering specific advantages and disadvantages of two different epidemiologic approaches, a specific comparison was carried out of cases from a structured analysis of the nationwide German diagnosis-related groups (DRG) statistics and data from the acute stroke treatment in Hesse (SA_HE) for 2018 collated by the office for quality management. According to the DRG statistics and the SA_HE data, 16,267 and 15,643 acute ischemic stroke patients (ICD code I63) were treated in Hesse in 2018, with 53.7% and 54.5% males, respectively. The overall age distribution did not show significant differences between the two data sources; however, stroke patients over the age of 70 years were registered significantly more often in the DRG statistics. The rates of systemic thrombolysis were 16.5% in both data sources and the rates of mechanical thrombectomy were 5.6% and 5.9%, respectively. The analysis shows that after a rational limitation of the included cases and based on the place of treatment, there were no statistically significant differences concerning the number of hospitalized patients with ischemic stroke, distribution of gender and age as well as the documented rates of systemic thrombolysis and mechanical thrombectomy. It can therefore be concluded that the well-controlled stroke quality register examined is able to capture a sufficient number of hospitalized acute ischemic stroke cases and treatment rates. Therefore, it appears to be recommendable to adopt the strict Hessian guidelines for data acquisition and control nationwide. In this way a nationwide combined analysis of data from the working group of German stroke registers and the DRG statistics would be possible.
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Registered trials
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.