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41/100

✓ Peer-reviewed alzhub usefulness score 41 out of 100. Vascular contributions

Topic: Risk, prevention and care in population studies

Among 195 participants, 33% had dementia after 3 years of follow-up. High brain-frailty score (⩾2/4) correlated with higher risk of dementia (HR (95% CI) 6.02 (1.89-19.21)). As individual predictor, severe MTA was most strongly associated with dementia (adjusted HR (95% CI) 2.09 (1.07-4.08)). Other predictors associated with dementia included older age, higher prestroke morbidity (mRS), WMLs, and GA. Integrated in a prediction model with clinical parameters, prestroke mRS, cardiovascular disease, GA, MTA and Abbreviated-Mental-Test were the strongest predictors of dementia (c-statistic: 0.77). DISCUSSION AND Increased brain-frailty, and its individual components (WMLs, MTA, and GA) are associated with a higher risk of dementia in participants with stroke. Combining clinical and brain-frailty parameters created a moderate dementia prediction model but added little value over clinical parameters in combination with cognitive testing. CT-based brain-frailty may provide better prognostic insights when cognitive testing isn't feasible and for identifying highest-risk individuals for dementia prevention trials to increase trial efficiency.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Hafdi, M., Rowan, M. T., Drozdowska, B. A., Elliott, E., McGuire, L., Richard, E., et al. (2025). Prediction of dementia using CT imaging in stroke (PRODUCTS). European Stroke Journal. https://doi.org/10.1177/23969873251325076

Vancouver

Hafdi M, Rowan MT, Drozdowska BA, Elliott E, McGuire L, Richard E, et al. Prediction of dementia using CT imaging in stroke (PRODUCTS). European Stroke Journal. 2025. doi:10.1177/23969873251325076. PMID: 40079226.

BibTeX

@article{hafdi2025-40079226,
  author  = {Hafdi, Melanie and Rowan, Martin Taylor and Drozdowska, Bogna Anna and Elliott, Emma and McGuire, L and Richard, Edo and Quinn, Terence J.},
  title   = {{Prediction of dementia using CT imaging in stroke (PRODUCTS)}},
  journal = {European Stroke Journal},
  year    = {2025},
  doi     = {10.1177/23969873251325076},
  pmid    = {40079226},
  url     = {https://doi.org/10.1177/23969873251325076}
}

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 names 7 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.

Key findings

Among 195 participants, 33% had dementia after 3 years of follow-up.
High brain-frailty score (⩾2/4) correlated with higher risk of dementia (HR (95% CI) 6.02 (1.89-19.21)).
As individual predictor, severe MTA was most strongly associated with dementia (adjusted HR (95% CI) 2.09 (1.07-4.08)).
Other predictors associated with dementia included older age, higher prestroke morbidity (mRS), WMLs, and GA.
Integrated in a prediction model with clinical parameters, prestroke mRS, cardiovascular disease, GA, MTA and Abbreviated-Mental-Test were the strongest predictors of dementia (c-statistic: 0.77).

Why it matters

In this study of 195 stroke patients, a high CT-based brain-frailty score was linked to a much higher risk of dementia at three years, and a combined model predicted dementia moderately well. The authors say CT-based brain-frailty may help identify highest-risk individuals for dementia prevention trials when cognitive testing isn't feasible.

Study details

Participants195
Evidence strengthLow

How this study scored 41/100

Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (European Stroke Journal)
Journal's citation record	0 / 4	European Stroke Journal: journal h-index 60 (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	4 / 5	2025 — within 3 year(s) of the newest study here
Sample size	2 / 4	195 participants
Effect reported	0 / 3	No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people	3 / 3	Studied in people (participant count stated)
Randomised / blinded	0 / 2	No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited	1 / 7	Cited 1 times (OpenAlex, 2026-10-10)
Citations per year	0 / 5	0.3 citations a year over 3 year(s) since 2025
Impact for its field and year	1 / 6	Cited 0.6× 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	0 / 4	Cited 1 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	3 / 4	Last-listed author Terence J. Quinn: h-index 65 (OpenAlex, whole career)
Institution's track record	2 / 3	University of Glasgow: institution h-index 1,600 (OpenAlex)
Multi-centre collaboration	3 / 3	OpenAlex lists 10 institution(s) in 3 countries
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 40079226)
Free to read	2 / 2	Free to read
Total	41 / 100	—

What each of these 20 components measures, and what this score is not →

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