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44/100

✓ Peer-reviewed alzhub usefulness score 44 out of 100. Long-term cohort studies

Topic: Amyloid, tau and blood-test diagnosis

Improved prediction of progression to Alzheimer's Disease (AD) among older individuals with mild cognitive impairment (MCI) is of high clinical and societal importance. We recently developed a polygenic hazard score (PHS) that predicted age of AD onset above and beyond APOE . Here, we used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to further explore the potential clinical utility of PHS for predicting AD development in older adults with MCI.

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

APA 7th

Kauppi, K., Fan, C. C., McEvoy, L. K., Holland, D., Tan, C. H., Chen, C. H., et al. (2018). Combining Polygenic Hazard Score With Volumetric MRI and Cognitive Measures Improves Prediction of Progression From Mild Cognitive Impairment to Alzheimer's Disease. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2018.00260

Vancouver

Kauppi K, Fan CC, McEvoy LK, Holland D, Tan CH, Chen CH, et al. Combining Polygenic Hazard Score With Volumetric MRI and Cognitive Measures Improves Prediction of Progression From Mild Cognitive Impairment to Alzheimer's Disease. Frontiers in neuroscience. 2018. doi:10.3389/fnins.2018.00260. PMID: 29760643.

BibTeX

@article{kauppi2018-29760643,
  author  = {Kauppi, K. and Fan, C. C. and McEvoy, L. K. and Holland, D. and Tan, C. H. and Chen, C. H. and Andreassen, O. A. and Desikan, R. S. and others},
  title   = {{Combining Polygenic Hazard Score With Volumetric MRI and Cognitive Measures Improves Prediction of Progression From Mild Cognitive Impairment to Alzheimer's Disease}},
  journal = {Frontiers in neuroscience},
  year    = {2018},
  doi     = {10.3389/fnins.2018.00260},
  pmid    = {29760643},
  url     = {https://doi.org/10.3389/fnins.2018.00260}
}

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Key findings

We recently developed a polygenic hazard score (PHS) that predicted age of AD onset above and beyond APOE .
Here, we used data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to further explore the potential clinical utility of PHS for predicting AD development in older adults with MCI.
We examined the predictive value of PHS alone and in combination with baseline structural magnetic resonance imaging (MRI) data on performance on the Mini-Mental State Exam (MMSE).
In survival analyses, PHS significantly predicted time to progression from MCI to AD over 120 months ( p = 1.07e-5), and PHS was significantly more predictive than APOE alone ( p = 0.015).

Why it matters

A polygenic hazard score, alone and combined with MRI and cognitive measures, was used to predict progression from mild cognitive impairment to Alzheimer's disease. This suggests such combined measures may help identify which people with mild cognitive impairment are more likely to develop Alzheimer's disease.

Study details

Evidence strengthLow

How this study scored 44/100

Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 42 of the 96 points we could judge it on, which is 44 out of 100.

Component	Points	Why
Journal tier	7 / 10	Tier 3 — peer-reviewed journal (Frontiers in neuroscience)
Journal's citation record	2 / 4	Frontiers in Neuroscience: journal h-index 226 (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	2 / 5	2018 — within 10 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	4 / 7	Cited 60 times (OpenAlex, 2026-10-10)
Citations per year	2 / 5	6.0 citations a year over 10 year(s) since 2018
Impact for its field and year	3 / 6	Cited 4.5× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here	2 / 6	Cited by 4 other studies in this library
Still being cited	1 / 4	Cited 14 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record	— / 4	Senior author's record not available — left out of this score
Institution's track record	2 / 3	University of California, San Francisco: institution h-index 1,915 (OpenAlex)
Multi-centre collaboration	2 / 3	OpenAlex lists 5 institution(s) in 3 countries
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 29760643)
Free to read	2 / 2	Free to read
Points	42 / 96	Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 42 of the 96 points we could judge it on is 44 out of 100.
Total	44 / 100	—

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

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