The online CFT was shown to be suitable for self-administration in online format (with a mouse response mode) for this midlife age group. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
29,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
The online CFT was shown to be suitable for self-administration in online format (with a mouse response mode) for this midlife age group. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Early and accurate diagnosis of dementia is essential to improving patient outcomes and reducing societal burden. 1 key finding →
Participants: 164 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Compared with conventional activities, GDRT resulted in significantly greater reductions in overall BPSD (r = 0.56, p = .001) and caregiver burden (r = 0.44, p = .011). 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Full text may need a subscription
Our results demonstrate that the multi-modal classifier achieved strong classification performance (accuracy = 68.64%; precision = 73.97%; F1-score=74.48%), with the highest recall (76.39%) from a model incorporating demographics and driving features, and prediction performance (accuracy = 70.48%; precision = 71.88%; F1-score = 74.80%, recall = 77.97%). 1 key finding →
Participants: 118 Evidence: low
Full summary, score breakdown and related studies → Original source
Although smartphone usage time is not directly associated with ikigai in older adults, it may reflect preserved physical and cognitive abilities required to navigate digital environments. 5 key findings →
Design: cross-sectional Evidence: low
Full summary, score breakdown and related studies → Original source
This study provides quantitative evidence supporting the complementary use of multiple cognitive assessment tools. 4 key findings →
Design: cross-sectional Participants: 250 Evidence: low
Full summary, score breakdown and related studies → Original source
Ignite is a sensitive digital cognitive assessment capable of detecting early cognitive changes in genetic FTD and demonstrates improved discrimination compared with standard neuropsychological measures at milder disease severity. 5 key findings →
Participants: 190 Evidence: low
Full summary, score breakdown and related studies → Original source
Cognitive impairment is a prevalent symptom extending from physiological ageing to disease. 4 key findings →
Participants: 43 Evidence: low
Full summary, score breakdown and related studies → Original source
These findings support mApp-FTT validity as a measure of motor function across neurodegenerative conditions. 4 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source
White matter microstructural abnormalities are increasingly found to be associated with cognitive impairment in Alzheimer’s Disease (AD). 5 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source
The present work builds upon progress in foundation artificial intelligence (AI) models for thepurpose of supporting the Alzheimer’s Disease Neuroimaging Initiative (ADNI). 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Smartphones have the potential for capturing subtle changes in cognition that characterize preclinical Alzheimer disease (AD) in older adults. 4 key findings →
Participants: 22 Evidence: low
Full summary, score breakdown and related studies → Original source
Free full text links and the Full text may need a subscription label come from Unpaywall, Europe PMC and OpenAlex records of free copies, checked 10 Oct 2026. A study with neither is unknown, not paywalled. Show only studies that are free to read
This is alzhub's own score. It is not an official metric, not an impact factor, and no journal, publisher or ranking body endorses it. We built it so that a reader who is not a scientist can tell a landmark trial from a conference abstract without having to already know the difference. Every point comes from one of 20 components, all of them printed on the study itself, so you can disagree with our arithmetic rather than having to trust the total.
Journals are placed in ordered tiers, never given a numeric impact factor — we could not verify current impact factors from a source we control, and an invented one would be worse than none. Tier 1 is the top-tier general journals (NEJM, The Lancet, JAMA, Nature, Science, Nature Medicine); tier 2 is the leading specialty journals; tier 3 is every other peer-reviewed journal. A separate part scores how much the journal's own papers are cited, which tells the tier-3 journals apart.
Two rules we don't bend. First, we never fill in a missing value: if a record does not state a sample size or a design, that component scores zero, and if we simply have no data for a part, such as a citation count, that part is left out and the study is scored on the parts we could check. The study card says which. Second, anything that is not a peer-reviewed article is capped at 16/100 and carries a warning chip — so a conference abstract or a company press release can never outrank a peer-reviewed paper, no matter how good it looks.
We rank a rigorous null result — a good trial showing that something does not work — above an early positive finding. Someone deciding whether to buy a supplement is served by that, and the rigour is already counted by the design and journal components.
The score is computed from the published data alone and is reproducible: the same file always yields the same numbers.
See the whole rubric drawn out → — four charts covering all 29,380 studies: how the scores are spread and where the cap bites, which of the 20 components the library is strong and weak on, which subjects rest on stronger evidence, and what kinds of study each subject is actually built from.
This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 29,380 records, built mostly from automated pulls of Europe PMC (63.3% of the library) and OpenAlex (17.3%), plus smaller pulls from PubMed, Crossref and medRxiv. If a study, a drug, or a finding isn't here, that is not evidence it doesn't exist in the literature — it may simply not have been pulled in yet.
1,037 records (3.5% of the library) are not peer-reviewed — 964 of those are preprints posted before any journal review, and the rest are conference abstracts, regulatory notices and reports. Every study card on this page states its status plainly, and the score above is capped for anything that isn't a peer-reviewed article.
See the full, machine-readable breakdown of this library's coverage →