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Ischemic stroke of unclear aetiology: a case-by-case analysis and call for a multi-professional predictive, preventive and personalised approach
Golubnitschaja O, Potuznik P, Polivka J, Pesta M, Kaverina O, Pieper CC, Kropp M, Thumann G et al.. The EPMA journal, 2022-11-17
Topic: Risk, prevention and care in population studies
In sub-populations such as diabetes mellitus type 2, proliferative diabetic retinopathy is an independent predictor of ischemic stroke. According to various statistical sources, cryptogenic strokes account for 15 to 40% of the entire stroke incidence. The question to consider here is, whether a cryptogenic stroke is fully referable to unidentifiable aetiology or rather to underestimated risks. Considering the latter, translational research might be of great clinical utility to realise innovative predictive and preventive approaches, potentially benefiting high risk individuals and society at large. In this position paper, the consortium has combined multi-professional expertise to provide clear statements towards the paradigm change from reactive to predictive, preventive and personalised medicine in stroke management, the crucial elements of which are:Consolidation of multi-disciplinary expertise including family medicine, predictive and in-depth diagnostics followed by the targeted primary and secondary (e.g. treated cancer) prevention of silent brain infarctionApplication of the health risk assessment focused on sub-optimal health conditions to effectively prevent health-to-disease transitionApplication of AI in medicine, machine learning and treatment algorithms tailored to robust biomarker patternsApplication of innovative screening programmes which adequately consider the needs of young populations.
Key findings
- In sub-populations such as diabetes mellitus type 2, proliferative diabetic retinopathy is an independent predictor of ischemic stroke.
- According to various statistical sources, cryptogenic strokes account for 15 to 40% of the entire stroke incidence.
- The question to consider here is, whether a cryptogenic stroke is fully referable to unidentifiable aetiology or rather to underestimated risks.
- Considering the latter, translational research might be of great clinical utility to realise innovative predictive and preventive approaches, potentially benefiting high risk individuals and society at large.
- In this position paper, the consortium has combined multi-professional expertise to provide clear statements towards the paradigm change from reactive to predictive, preventive and personalised medicine in stroke management, the crucial elements of which are:Consolidation of multi-disciplinary expertise including family medicine, predictive and in-depth diagnostics followed by the targeted primary and secondary (e.g. treated cancer) prevention of silent brain infarctionApplication of the health risk assessment focused on sub-optimal health conditions to effectively prevent health-to-disease transitionApplication of AI in medicine, machine learning and treatment algorithms tailored to robust biomarker patternsApplication of innovative screening programmes which adequately consider the needs of young populations.
Why it matters
This position paper calls for a predictive, preventive and personalised approach to stroke management, noting that cryptogenic strokes account for 15 to 40% of stroke incidence. It concerns stroke, not Alzheimer's disease treatment, cure or prevention.
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Study details
- Effect size0.66%
- Evidence strengthLow
How this study scored 44/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (The EPMA journal) |
| Journal's citation record | 0 / 4 | The EPMA Journal: journal h-index 72 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2022 — within 6 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 4 / 7 | Cited 57 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 9.5 citations a year over 6 year(s) since 2022 |
| Impact for its field and year | 3 / 6 | Cited 8.0× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 2 / 4 | Cited 44 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Vincenzo Costigliola: h-index 25 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | University of Bonn: institution h-index 1,072 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 8 institution(s) in 4 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 36415625) |
| Free to read | 2 / 2 | Free to read |
| Total | 44 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1007/s13167-022-00307-z
- PubMed: 36415625
- Original source →
- Free full text: The EPMA Journal →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
APA 7th
Golubnitschaja, O., Potuznik, P., Polivka, J., Pesta, M., Kaverina, O., Pieper, C. C., et al. (2022). Ischemic stroke of unclear aetiology: a case-by-case analysis and call for a multi-professional predictive, preventive and personalised approach. The EPMA journal. https://doi.org/10.1007/s13167-022-00307-z
Vancouver
Golubnitschaja O, Potuznik P, Polivka J, Pesta M, Kaverina O, Pieper CC, et al. Ischemic stroke of unclear aetiology: a case-by-case analysis and call for a multi-professional predictive, preventive and personalised approach. The EPMA journal. 2022. doi:10.1007/s13167-022-00307-z. PMID: 36415625.
BibTeX
@article{golubnitschaja2022-36415625,
author = {Golubnitschaja, O. and Potuznik, P. and Polivka, J. and Pesta, M. and Kaverina, O. and Pieper, C. C. and Kropp, M. and Thumann, G. and others},
title = {{Ischemic stroke of unclear aetiology: a case-by-case analysis and call for a multi-professional predictive, preventive and personalised approach}},
journal = {The EPMA journal},
year = {2022},
doi = {10.1007/s13167-022-00307-z},
pmid = {36415625},
url = {https://doi.org/10.1007/s13167-022-00307-z}
}
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