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46/100

✓ Peer-reviewed alzhub usefulness score 46 out of 100. Cognitive tests and assessment

Topic: Risk, prevention and care in population studies

During follow-up 20 SCD and 99 MCI patients developed dementia. For MCI patients who progressed to any form of dementia, plasma GFAP contributed on top of age, sex, and MMSE score in the parsimonious individualized prognostic model (C-index = 0.69 [95%CI = 0.63; 0.76]). With AD-dementia as the outcome, GFAP and pTau181 were selected in the parsimonious model on top of the demographic variables (C-index = 0.71 [95%CI = 0.65; 0.76]). In the subset of 197 MCI individuals with pTau217 measurements, pTau217 was selected in the parsimonious model on top of the demographic variables (C-index = 0.75 [95%CI = 0.69; 0.79]). External validation demonstrated that the models are robust in a memory clinic setting. Our prediction models have utility for clinical practice to calculate progression probabilities for development of dementia in individual patients living with MCI over a 1-, 3- and 5-year time period.

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

APA 7th

Honey, M. I. J., van Maurik, I. S., van Harten, A. C., Gouda, M., van Leeuwenstijn, M. S. S. A., Mank, A., et al. (2025). Individualized prediction of clinical progression to dementia using plasma biomarkers in non-demented elderly. Alzheimer s Research & Therapy. https://doi.org/10.1186/s13195-025-01925-1

Vancouver

Honey MIJ, van Maurik IS, van Harten AC, Gouda M, van Leeuwenstijn MSSA, Mank A, et al. Individualized prediction of clinical progression to dementia using plasma biomarkers in non-demented elderly. Alzheimer s Research & Therapy. 2025. doi:10.1186/s13195-025-01925-1. PMID: 41339948.

BibTeX

@article{honey2025-41339948,
  author  = {Honey, Madison I. J. and van Maurik, Ingrid S. and van Harten, Argonde C. and Gouda, Mariam and van Leeuwenstijn, Mardou S. S. A. and Mank, Arenda and Trieu, Calvin and Bouteloup, Vincent and others},
  title   = {{Individualized prediction of clinical progression to dementia using plasma biomarkers in non-demented elderly}},
  journal = {Alzheimer s Research \& Therapy},
  year    = {2025},
  doi     = {10.1186/s13195-025-01925-1},
  pmid    = {41339948},
  url     = {https://doi.org/10.1186/s13195-025-01925-1}
}

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Key findings

During follow-up 20 SCD and 99 MCI patients developed dementia.
For MCI patients who progressed to any form of dementia, plasma GFAP contributed on top of age, sex, and MMSE score in the parsimonious individualized prognostic model (C-index = 0.69 [95%CI = 0.63; 0.76]).
With AD-dementia as the outcome, GFAP and pTau181 were selected in the parsimonious model on top of the demographic variables (C-index = 0.71 [95%CI = 0.65; 0.76]).
In the subset of 197 MCI individuals with pTau217 measurements, pTau217 was selected in the parsimonious model on top of the demographic variables (C-index = 0.75 [95%CI = 0.69; 0.79]).
External validation demonstrated that the models are robust in a memory clinic setting.

Why it matters

In non-demented elderly people, plasma GFAP, pTau181, and pTau217 improved individualized prediction of progression from MCI to dementia on top of age, sex, and MMSE, with models validated in a memory clinic setting. These models can estimate progression probabilities over 1, 3, and 5 years, but they are prognostic tools, not treatments, cures, or prevention.

Study details

Participants184
Evidence strengthModerate

How this study scored 46/100

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 (Alzheimer s Research & Therapy)
Journal's citation record	1 / 4	Alzheimer s Research & Therapy: journal h-index 146 (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	3 / 5	Rated “moderate” 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	184 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 3 times (OpenAlex, 2026-10-10)
Citations per year	1 / 5	1.0 citations a year over 3 year(s) since 2025
Impact for its field and year	2 / 6	Cited 1.9× 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	1 / 4	Cited 3 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	2 / 4	Last-listed author Inge M.W. Verberk: h-index 30 (OpenAlex, whole career)
Institution's track record	2 / 3	Inserm: institution h-index 1,988 (OpenAlex)
Multi-centre collaboration	3 / 3	OpenAlex lists 15 institution(s) in 4 countries
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 41339948)
Free to read	2 / 2	Free to read
Total	46 / 100	—

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

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