ABSTRACT NUMBER: ESOC2026A1120 DISENTANGLING PROGNOSTIC HETEROGENEITY IN VASCULAR COGNITIVE IMPAIRMENT: A BAYESIAN NETWORK ANALYSIS
Malin Overmars, Cor Allaart, E Bron Esther, Jeroen de Bresser, Hans-Peter Brunner-La Rocca, Imo Hoefer, Majon Muller, Matthias van Osch, Charlotte Teunissen, Betty Tijms, Frank Wolters, Geert Jan Biessels · 2026
Read ABSTRACT NUMBER: ESOC2026A1120 DISENTANGLING PROGNOSTIC HETEROGENEITY IN VASCULAR COGNITIVE IMPAIRMENT: A BAYESIAN NETWORK ANALYSIS by Malin Overmars, Cor Allaart, E Bron Esther, Jeroen de Bresser, Hans-Peter Brunner-La Rocca, Imo Hoefer, Majon Muller, Matthias van Osch, Charlotte Teunissen, Betty Tijms, Frank Wolters, Geert Jan Biessels (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13147060.txt.
Description
Malin Overmars and co-authors present a 2026 conference study using a web-style math model to untangle mixed outlooks in vessel-based thinking loss. The condition blends varied causes and paths, which blurs forecast work. The team fed a Dutch heart-brain group of more than five hundred patients into the model.
Patient group and starting thinking level drove both thinking decline and heart event risk over five years. Memory clinic patients with clean starting scores still faced a high chance of decline. Blood protein marks added no fresh signal once scan and clinic facts were in. The authors offer the method as a proof of concept for reading mixed patient groups without flattening their gaps.
Catalog record
| CREATOR | Malin Overmars, Cor Allaart, E Bron Esther, Jeroen de Bresser, Hans-Peter Brunner-La Rocca, Imo Hoefer, Majon Muller, Matthias van Osch, Charlotte Teunissen, Betty Tijms, Frank Wolters, Geert Jan Biessels |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |