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62/100

✓ Peer-reviewed alzhub usefulness score 62 out of 100. Long-term cohort studies

Topic: Risk, prevention and care in population studies

Background Many studies have explored whether individual plasma protein biomarkers improve cardiovascular disease risk prediction. We sought to investigate the use of a plasma proteomics-based approach in predicting different cardiovascular outcomes. Methods Among 51 859 UK Biobank participants (mean age, 56.7 years; 45.5% male) without cardiovascular disease and with proteomics measurements, we examined the primary composite outcome of fatal and nonfatal coronary heart disease, stroke, or heart failure (major adverse cardiovascular events), as well as additional secondary cardiovascular outcomes.

Key findings

We sought to investigate the use of a plasma proteomics-based approach in predicting different cardiovascular outcomes.
Methods Among 51 859 UK Biobank participants (mean age, 56.7 years; 45.5% male) without cardiovascular disease and with proteomics measurements, we examined the primary composite outcome of fatal and nonfatal coronary heart disease, stroke, or heart failure (major adverse cardiovascular events), as well as additional secondary cardiovascular outcomes.
An exposome-wide association study was conducted using relative protein concentrations, adjusted for a range of classic, demographic, and lifestyle risk factors.
A prediction model using only age, sex, and protein markers (protein model) was developed using a least absolute shrinkage and selection operator-regularized approach (derivation: 80% of cohort) and validated using split-sample testing (20% of cohort).

Why it matters

This study investigated whether a blood protein-based approach can predict cardiovascular diseases and dementia. It is about prediction, not about treating, curing, or preventing Alzheimer's disease.

Study details

Participants4,857
Effect size45.5%
Evidence strengthModerate

How this study scored 62/100

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

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (Circulation)
Journal's citation record	4 / 4	Circulation: journal h-index 848 (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	3 / 4	4,857 participants
Effect reported	2 / 3	Effect reported as a number, without an interval or test
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	4 / 7	Cited 74 times (OpenAlex, 2026-10-10)
Citations per year	4 / 5	24.7 citations a year over 3 year(s) since 2025
Impact for its field and year	5 / 6	Cited 20.1× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here	1 / 6	Cited by 2 other studies in this library
Still being cited	3 / 4	Cited 74 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	3 / 4	Last-listed author Paul I. Welsh: h-index 83 (OpenAlex, whole career)
Institution's track record	2 / 3	Imperial College London: institution h-index 1,744 (OpenAlex)
Multi-centre collaboration	2 / 3	OpenAlex lists 9 institution(s) in 3 countries
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 39540306)
Free to read	0 / 2	Behind a paywall — scores zero
Total	62 / 100	—

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

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

Ho, F. K., Mark, P. B., Lees, J. S., Pell, J. P., Strawbridge, R. J., Kimenai, D. M., et al. (2025). A Proteomics-Based Approach for Prediction of Different Cardiovascular Diseases and Dementia. Circulation. https://doi.org/10.1161/circulationaha.124.070454

Vancouver

Ho FK, Mark PB, Lees JS, Pell JP, Strawbridge RJ, Kimenai DM, et al. A Proteomics-Based Approach for Prediction of Different Cardiovascular Diseases and Dementia. Circulation. 2025. doi:10.1161/circulationaha.124.070454. PMID: 39540306.

BibTeX

@article{ho2025-39540306,
  author  = {Ho, F. K. and Mark, P. B. and Lees, J. S. and Pell, J. P. and Strawbridge, R. J. and Kimenai, D. M. and Mills, N. L. and Woodward, M. and others},
  title   = {{A Proteomics-Based Approach for Prediction of Different Cardiovascular Diseases and Dementia}},
  journal = {Circulation},
  year    = {2025},
  doi     = {10.1161/circulationaha.124.070454},
  pmid    = {39540306},
  url     = {https://doi.org/10.1161/circulationaha.124.070454}
}

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