ArticleJournal of the American Heart Association2022
Development and Validation of Prediction Models for Severe Complications After Acute Ischemic Stroke: A Study Based on the Stroke Registry of Northwestern Germany.
Article in Journal of the American Heart Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Machine learning and deep learning algorithms in stroke medicine: a systematic review of hemorrhagic transformation prediction models.Journal of neurology · 2024Pooled it
- The relevance of rich club regions for functional outcome post-stroke is enhanced in women.Human brain mapping · 2023Trial
- Twenty-eight-day in-hospital mortality prediction for elderly patients with ischemic stroke in the intensive care unit: Interpretable machine learning models.Frontiers in public health · 2022Trial
- Quantitative Cerebrovascular Analysis for Improved Prediction of Post-Stroke Complications.Translational stroke research · 2026Article
- Quantitative Cerebrovascular Analysis for Improved Prediction of Post-Stroke Complications.medRxiv : the preprint server for health sciences · 2026Article
- Blood-Brain Barrier Dysfunction, Edema Formation and Functional Recovery in Ischemic and Hemorrhagic Stroke: A Retrospective Study.Neurology international · 2025Article
- Phenotypic screening and genetic insights for predicting major vascular-related diseases using retinal imaging.NPJ digital medicine · 2025Article
- A Comprehensive Review of the Role of the Microbiota-Gut-Brain Axis via Neuroinflammation: Advances and Therapeutic Implications for Ischemic Stroke.Biomolecules · 2025Review
- A global effort to benchmark predictive models and reveal mechanistic diversity in long-term stroke outcomes.bioRxiv : the preprint server for biology · 2025Article
- Risk prediction model for poor prognosis after intravenous thrombolysis among ischemic stroke patients aged ≥ 80 years and analysis of follow-up.Scientific reports · 2025Article
- Serum secretoneurin as a promising biomarker for predicting poor prognosis in intracerebral hemorrhage: A prospective cohort study.Neurosurgical review · 2024Article
- One-Year Survival of Ischemic Stroke Patients Requiring Mechanical Ventilation.Neurocritical care · 2023Article
- The interaction between intestinal microenvironment and stroke.CNS neuroscience & therapeutics · 2023Review
- Machine learning approach for hemorrhagic transformation prediction: Capturing predictors' interaction.Frontiers in neurology · 2022Article
- Machine learning prediction of symptomatic intracerebral hemorrhage after stroke thrombolysis: a cross-cultural validation in Caucasian and Han Chinese cohort.Therapeutic advances in neurological disorders · 2022Article
- Ischemic stroke and concomitant gastrointestinal complications- a fatal combination for patient recovery.Frontiers in immunology · 2022Review
- Predictors of 7-day symptomatic hemorrhagic transformation in patients with acute ischemic stroke and proposal of a novel screening tool: A retrospective cohort study.Turkish journal of emergency medicineArticle
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
Background The treatment of stroke has been undergoing rapid changes. As treatment options progress, prediction of those under risk for complications becomes more important. Available models have, however, frequently been built based on data no longer representative of today's care, in particular with respect to acute stroke management. Our aim was to build and validate prediction models for 4 clinically important, severe outcomes after stroke. Methods and Results We used German registry data from 152 710 patients with acute ischemic stroke obtained in 2016 (development) and 2017 (validation). We took into account potential predictors that were available at admission and focused on in-hospital mortality, intracranial mass effect, secondary intracerebral hemorrhage, and deep vein thrombosis as outcomes. Validation cohort prediction and calibration performances were assessed using the following 4 statistical approaches: logistic regression with backward selection,
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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.