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43/100

✓ Peer-reviewed alzhub usefulness score 43 out of 100. Risk factors

Topic: Risk, prevention and care in population studies

The final cohort comprised more than 3 million individuals, with a mean baseline age of 63–65 years and a female proportion of 52–55%. On 1 January 2011, the prevalence of individuals aged ≥ 50 years with dementia ranged from 8.7 to 14.7 per 1000 population. A harmonized methodological framework based on a CDM was developed and implemented across all sites, incorporating a shared protocol, standardized local databases, and uniform analytic scripts, and the results will be pooled using meta-analytic techniques. Preliminary findings confirm the feasibility of a standardized, multi-regional CDM approach and the potential for HUDs to support large-scale dementia prevention studies in real-world settings.

Key findings

The final cohort comprised more than 3 million individuals, with a mean baseline age of 63–65 years and a female proportion of 52–55%.
On 1 January 2011, the prevalence of individuals aged ≥ 50 years with dementia ranged from 8.7 to 14.7 per 1000 population.
A harmonized methodological framework based on a CDM was developed and implemented across all sites, incorporating a shared protocol, standardized local databases, and uniform analytic scripts, and the results will be pooled using meta-analytic techniques.
Preliminary findings confirm the feasibility of a standardized, multi-regional CDM approach and the potential for HUDs to support large-scale dementia prevention studies in real-world settings.

Why it matters

This study protocol and preliminary results describe a common data model approach across more than 3 million individuals to study hypertension, diabetes, and depression as modifiable risk factors for dementia. The preliminary findings confirm the feasibility of this standardized multi-regional approach for large-scale dementia prevention studies in real-world settings.

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Study details

Study designcohort study
Evidence strengthModerate

How this study scored 43/100

Published in a peer-reviewed journal, and it is a cohort study following people over time. Scored zero for sample size, effect reported, 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 (Journal of Clinical Medicine)
Journal's citation record	2 / 4	Journal of Clinical Medicine: journal h-index 188 (OpenAlex, 2026-10-29)
Study design	7 / 12	A cohort study following people over time
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	0 / 4	Participant count not stated — scores zero (not stated in the record — scored 0)
Effect reported	0 / 3	No effect size reported — scores zero (not stated in the record — scored 0)
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	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	2 / 4	Last-listed author Domenica Matranga: h-index 33 (OpenAlex, whole career)
Institution's track record	0 / 3	Istituto Superiore di Sanità: institution h-index 523 (OpenAlex)
Multi-centre collaboration	2 / 3	OpenAlex lists 9 institution(s) in 1 country
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 41010823)
Free to read	2 / 2	Free to read
Total	43 / 100	—

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Read the original

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

Zenesini, C., Cascini, S., Picariello, R., Profili, F., Belotti, L. M. B., Maniscalco, L., et al. (2025). Hypertension, Diabetes and Depression as Modifiable Risk Factors for Dementia: A Common Data Model Approach in a Population-Based Cohort, with Study Protocol and Preliminary Results. Journal of Clinical Medicine. https://doi.org/10.3390/jcm14186622

Vancouver

Zenesini C, Cascini S, Picariello R, Profili F, Belotti LMB, Maniscalco L, et al. Hypertension, Diabetes and Depression as Modifiable Risk Factors for Dementia: A Common Data Model Approach in a Population-Based Cohort, with Study Protocol and Preliminary Results. Journal of Clinical Medicine. 2025. doi:10.3390/jcm14186622. PMID: 41010823.

BibTeX

@article{zenesini2025-41010823,
  author  = {Zenesini, Corrado and Cascini, Silvia and Picariello, Roberta and Profili, Francesco and Belotti, Laura Maria Beatrice and Maniscalco, Laura and Acampora, Anna and Gnavi, Roberto and others},
  title   = {{Hypertension, Diabetes and Depression as Modifiable Risk Factors for Dementia: A Common Data Model Approach in a Population-Based Cohort, with Study Protocol and Preliminary Results}},
  journal = {Journal of Clinical Medicine},
  year    = {2025},
  doi     = {10.3390/jcm14186622},
  pmid    = {41010823},
  url     = {https://doi.org/10.3390/jcm14186622}
}

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