Evidence map›Paper›PMID 42761177›Full record

ArticleFrontiers in neurology2026

Stakeholder perspectives and requirements for environmental-data-driven capacity forecasting in stroke care: a national survey of German stroke units.

Lino Braadt, Lucas Proell, Pablo F F Escrihuela Branz, Elke Hertig, Ludwig C Hinske, Till Baldenius, Patrik Dröge, Christian Günster, Thomas Ruhnke, Yevgeniia Ignatenko and 7 more

Abstract read
In one paragraph

Article in Frontiers in neurology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Lino Braadt *Department of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany.
Lucas Proell *Department of Cardiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Pablo F F Escrihuela BranzDepartment of Cardiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Elke HertigRegional Climate Change and Health, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Ludwig C HinskeInstitute for Digital Medicine, University Hospital of Augsburg, Augsburg, Germany.
Till BaldeniusAOK Research Institute (WIdO), AOK-Bundesverband, Berlin, Germany.
Patrik DrögeAOK Research Institute (WIdO), AOK-Bundesverband, Berlin, Germany.
Christian GünsterAOK Research Institute (WIdO), AOK-Bundesverband, Berlin, Germany.
Thomas RuhnkeAOK Research Institute (WIdO), AOK-Bundesverband, Berlin, Germany.
Yevgeniia IgnatenkoInstitute for Digital Medicine, University Hospital of Augsburg, Augsburg, Germany.
Christian MerkenschlagerRegional Climate Change and Health, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Markus NaumannDepartment of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany.
Philip W J RaakeDepartment of Cardiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Katharina SasseRegional Climate Change and Health, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Iñaki Soto-ReyInstitute for Digital Medicine, University Hospital of Augsburg, Augsburg, Germany.
Bastian WeinDepartment of Cardiology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
Hauke SchneiderDepartment of Neurology and Clinical Neurophysiology, University Hospital Augsburg, Augsburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke remains a major health burden in Europe, with rising absolute case numbers. Atmospheric factors such as air pollution and temperature extremes are increasingly recognized as stroke risk determinants. Many hospitals face growing staff shortages, highlighting the need for predictive management of stroke care resources. This study surveyed directors of German stroke units to explore current strategies, challenges, and the perceived usefulness of a digital, environmental data-driven forecasting tool for resource management. As part of the ALERT-ITS project, a cross-sectional, web-based survey was conducted among certified stroke units in Germany. The questionnaire was developed using the REDCap® software and pre-tested by senior neurologists. The survey was distributed with support from the German Stroke Society in June and July 2025. 58 valid responses were analyzed. Most respondents had over 15 years of clinical experience. High occupancy rates (>80%) were common, and nursing shortages were the leading cause of bed closures. Although 48.3% (

Indexed as

Hospital UnitsStrokeCross-Sectional StudiesForecastingGermanyHumansSurveys and Questionnairesatmospheric datacapacity forecastexposomemonitoring systemresource allocationstrokestroke unitsurvey

Identifiers

PMID42761177
PMCPMC13586288

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.