27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
The proposed method offers a fully automated procedure, providing an opportunity to develop an inexpensive, broadly accessible, and easy-to-administer screening tool for MCI-to-AD progression prediction, facilitating development of remote assessment. 1 key finding →
Participants: 166 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Most approaches to machine learning from electronic health data can only predict a single endpoint. 1 key finding →
Participants: 1,909 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Different duplications of the APP locus have been identified in five families with autosomal dominant early onset Alzheimer's disease (ADEOAD) and Abeta-related cerebral amyloid angiopathy (CAA). 4 key findings →
Participants: 21 Evidence: low
Full summary, score breakdown and related studies → Original source Full text may need a subscription
In total, 41 participants consented (n=10, 24% participants with Alzheimer disease; n=11, 27% participants with Lewy body disease; and n=20, 49% controls). 5 key findings →
Design: longitudinal study Participants: 41 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Ninety-one reviews provided evidence on the impact of telemedicine in dementia care. 5 key findings →
Design: meta-analysis Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
Dementia poses a significant global health challenge for both clinicians and patients, impacting millions of individuals worldwide, yet its early diagnosis remains underexplored. 2 key findings →
Design: meta-analysis Participants: 415 Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
Light Gradient-boosting Machine (LightGBM) achieved the highest performance in identifying agitation over an 8-day period with a sensitivity of 71.32% ± 7.38 and specificity of 75.28% ± 7.38. 5 key findings →
Design: longitudinal study Participants: 63 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
JNPL3 transgenic mice expressing a mutant tau protein, which develop neurofibrillary tangles and progressive motor disturbance, were crossed with Tg2576 transgenic mice expressing mutant beta-amyloid precursor protein (APP), thus modulating the APP-Abeta (beta-amyloid peptide) environment.
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Overall, individuals improved on all C3 measures over 12 months (β = 0.23, 95% CI [0.21-0.25], p < 0.001), but improvement over the first 3 months was greatest (β = 0.68, 95% CI [0.59-0.77], p < 0.001), suggesting stronger PE over initial repeated exposures. 4 key findings →
Participants: 114 Evidence: low
Full summary, score breakdown and related studies → Original source
Remote monitoring of cognition holds the promise to facilitate case-finding in clinical care and the individual detection of cognitive impairment in clinical and research settings. 1 key finding →
Participants: 97 Evidence: low
Full summary, score breakdown and related studies → Original source
A MPT model of the MST can detect individuals with AD prior to cognitive decline, making it a potentially useful tool for screening and monitoring older adults during the asymptomatic phase of AD. 1 key finding →
Participants: 200 Evidence: low
Full summary, score breakdown and related studies → Original source
The AD drug development pipeline has agents representing a substantial array of treatment mechanisms and targets. 1 key finding →
Design: clinical trial Participants: 31 Evidence: low
Full summary, score breakdown and related studies → Original source
The increasing application of Artificial Intelligence (AI) in health and medicine has attracted a great deal of research interest in recent decades. 5 key findings →
Participants: 27,451 Evidence: low
Full summary, score breakdown and related studies → Original source
This prospective, community-based, nested, case-control study used self-reported data (eg, on demographics, geographical location, health risk factors, and COVID-19 test results, symptoms, and vaccinations) from UK-based, adult (≥18 years) users of the COVID Symptom Study mobile phone app. 5 key findings →
Design: case-control study Evidence: moderate
Full summary, score breakdown and related studies → Original source
Deriving disease subtypes from electronic health records (EHRs) can guide next-generation personalized medicine. 2 key findings →
Participants: 1,608,741 Evidence: moderate
Full summary, score breakdown and related studies → Original source
The inclusion criteria of the studies reviewed limited the diagnostic groups included. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Significant differences in AD biomarkers were observed among different groups. 5 key findings →
Participants: 238 Evidence: low
Full summary, score breakdown and related studies → Original source
We evaluated a digital cognitive assessment platform, Philips IntelliSpace Cognition, in a case-control study of patients diagnosed with mild cognitive impairment (MCI) and cognitively normal (CN) older adults. 2 key findings →
Design: case-control study Evidence: moderate
Full summary, score breakdown and related studies → Original source
The following four themes emerged from participants' feedback: (1) healthy lifestyle and behavioral changes, (2) a sense of self-awareness through introspection, (3) value in coach support, and (4) a desire for a change in program format (eg, frequency). 5 key findings →
Participants: 74 Evidence: high
Full summary, score breakdown and related studies → Original source
Inter-reader agreements for the visual reading based on a 3-point scale (BAPL score) calculated by Fleiss kappa coefficients were 0.46 and 0.76 for the visual reading without and with the deep learning system, respectively. 3 key findings →
Participants: 121 Evidence: high
Full summary, score breakdown and related studies → Original source
A deep learning framework combining 3D CNN and LRP algorithms can be used with tau PET images to identify informative features for AD classification and may have application for early detection during prodromal stages of AD. 4 key findings →
Participants: 132 Evidence: moderate
Full summary, score breakdown and related studies → Original source
The deep-learning time-to-event model predicted individual subjects' progression to AD dementia with a concordance index of 0.762 on 439 Alzheimer's Disease Neuroimaging Initiative testing MCI subjects with follow-up duration from 6 to 78 months (quartiles: [24, 42, 54]) and a concordance index of 0.781 on 40 Australian Imaging Biomarkers and Lifestyle Study of Aging testing MCI subjects with follow-up duration from 18 to 54 months (quartiles: [18, 36, 54]). 2 key findings →
Participants: 2,146 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
In vivo imaging and quantification of amyloid-β plaque (Aβ) burden in small-animal models of Alzheimer's disease (AD) is a valuable tool for translational research such as developing specific imaging markers and monitoring new therapy approaches. 4 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Among dementia-like diseases, Alzheimer disease (AD) and vascular dementia (VD) are two of the most frequent. 2 key findings →
Participants: 60 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Technology-based interventions have the potential to support informal caregivers of PWD. 2 key findings →
Design: meta-analysis Evidence: high
Full summary, score breakdown and related studies → Original source Full text may need a subscription
10 of the 1,102 studies in this tag, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 10. The same 10 appear here every time.
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 27,380 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 27,380 records, built mostly from automated pulls of Europe PMC (60.6% of the library) and OpenAlex (18.6%), 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.
1,032 records (3.8% of the library) are not peer-reviewed — 962 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 →