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42/100

✓ Peer-reviewed alzhub usefulness score 42 out of 100. Long-term cohort studies

Topic: Risk, prevention and care in population studies

Participants were older adults (mean age 71.5 ± 8.7 years), primarily female (54.2%), and non-Hispanic White (96.5%). The bifactor model was the only model with adequate fit (CFI = 0.96, RMSEA = 0.03). General and specific factors captured ability for accurate and strategic responses, test-specific variance, and nuanced executive and semantic processes distributed across tests. Higher general ability and stronger verbatim story recall were associated with a reduced likelihood of developing all-cause dementia (general: OR = 0.15, 95% CI [0.12-0.86]; recall: OR = 0.24, 95% CI [0.23-0.90]) over a median of 5.2 years. With NP/BPA data, ML models identified >99% of 222 converters. This study highlights the strengths of NP/BPA data. Multidimensional cognitive features may enhance sensitivity to early changes predictive of incipient dementia.

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

APA 7th

Frank, B. E., Gurnani, A. S., Hurley, L., Guan, C., Andersen, S. L., Devine, S., et al. (2026). Psychometric modeling of Boston process approach data for dementia prediction in the Framingham Heart Study. Journal of the International Neuropsychological Society. https://doi.org/10.1017/s1355617726101921

Vancouver

Frank BE, Gurnani AS, Hurley L, Guan C, Andersen SL, Devine S, et al. Psychometric modeling of Boston process approach data for dementia prediction in the Framingham Heart Study. Journal of the International Neuropsychological Society. 2026. doi:10.1017/s1355617726101921. PMID: 41975557.

BibTeX

@article{frank2026-41975557,
  author  = {Frank, Brandon E. and Gurnani, Ashita S. and Hurley, Landon and Guan, Calvin and Andersen, Stacy L. and Devine, Sherral and O’Connor, Maureen K. and Budson, Andrew E. and others},
  title   = {{Psychometric modeling of Boston process approach data for dementia prediction in the Framingham Heart Study}},
  journal = {Journal of the International Neuropsychological Society},
  year    = {2026},
  doi     = {10.1017/s1355617726101921},
  pmid    = {41975557},
  url     = {https://doi.org/10.1017/s1355617726101921}
}

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Key findings

Participants were older adults (mean age 71.5 ± 8.7 years), primarily female (54.2%), and non-Hispanic White (96.5%).
The bifactor model was the only model with adequate fit (CFI = 0.96, RMSEA = 0.03).
General and specific factors captured ability for accurate and strategic responses, test-specific variance, and nuanced executive and semantic processes distributed across tests.
Higher general ability and stronger verbatim story recall were associated with a reduced likelihood of developing all-cause dementia (general: OR = 0.15, 95% CI [0.12-0.86]; recall: OR = 0.24, 95% CI [0.23-0.90]) over a median of 5.2 years.
With NP/BPA data, ML models identified >99% of 222 converters.

Why it matters

In this Framingham Heart Study analysis, higher general cognitive ability and stronger verbatim story recall were linked to a reduced likelihood of developing all-cause dementia, and machine learning models identified most converters. The findings concern cognitive testing for predicting dementia, not treating or preventing it.

Study details

Effect size54.2%; 96.5%; OR = 0.15
Evidence strengthLow

How this study scored 42/100

Published in a peer-reviewed journal. Scored zero for study design, sample size, 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 the International Neuropsychological Society)
Journal's citation record	2 / 4	Journal of the International Neuropsychological Society: journal h-index 176 (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	5 / 5	2026 — within 1 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	3 / 3	Effect reported with a statistic (interval, p-value, ratio or similar)
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	0.5 citations a year over 2 year(s) since 2026
Impact for its field and year	3 / 6	Cited 4.7× 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 Rhoda Au: h-index 90 (OpenAlex, whole career)
Institution's track record	1 / 3	Boston University: institution h-index 1,456 (OpenAlex)
Multi-centre collaboration	2 / 3	OpenAlex lists 6 institution(s) in 1 country
Indexed in PubMed	2 / 2	Indexed in PubMed (PMID 41975557)
Free to read	2 / 2	Free to read
Total	42 / 100	—

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

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