27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
The amyloid-beta (Aβ) peptide is the derivative of amyloid precursor protein (APP) generated through sequential proteolytic processing by β- and γ-secretases. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Transmembrane proteins BRI2 and amyloid precursor protein (APP) co-localize with amyloid beta (Abeta) lesions in sporadic Alzheimer disease and mutations in both precursor proteins are linked to early-onset familial cases of cerebral amyloidosis associated with dementia and/or cerebral hemorrhage. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The proteolytic cleavage of Alzheimer beta-amyloid precursor protein (APP) and signaling receptor Notch is mediated by the PS/gamma-secretase complex, which consists of presenilins, nicastrin, APH-1, and PEN-2. 4 key findings →
Evidence: low
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The amyloid precursor protein (APP) plays a key role in the pathogenesis of Alzheimer's disease (AD), as proteolytical cleavage of APP gives rise to the β-amyloid peptide which is deposited in the brains of Alzheimer patients. 3 key findings →
Evidence: low
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There were 13,700 beneficiaries with full-year enrollment in MA (6,046) or TM (7,724), 518 with ADRD and 13,252 without ADRD. 5 key findings →
Design: cross-sectional Evidence: low
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MobileNet achieved the highest overall performance, with an accuracy of 99.44%. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
is a heuristic that seeks to develop methodologies capable of identifying subtle behavior(s) that may flag emerging AD and other dementia related syndromes. 2 key findings →
Evidence: low
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RoCA classifies patients similarly to gold standard paper-based tests, with a receiver operating characteristic area under the curve of 0.81 (95% CI 0.67-0.91; P<.001). 5 key findings →
Design: open-label trial Participants: 35 Evidence: low
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The model achieves accuracy rates of 94% on the brain tumor dataset, 81% on the augmented Alzheimer dataset, and 93% on the third dataset, underscoring its capability to differentiate various neurological conditions. 3 key findings →
Evidence: low
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Alzheimer's disease is a progressive neurodegenerative disorder that significantly impacts memory, cognition, and daily functioning. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Family caregivers of individuals with Alzheimer’s Disease and Related Dementia (AD/ADRD) face significant emotional and logistical challenges that place them at heightened risk for stress, anxiety, and depression. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
With the rising number of dementia cases, supporting family caregivers to maintain their well-being is crucial. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Addressing disparities related to Alzheimer's disease and Alzheimer's disease related dementias (AD/ADRD) is a priority for policymakers, practitioners, and researchers. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
EDDA achieved an area under the receiver-operating characteristic curve (AUROC) of 0.85 in the test set and 0.93 in the validation set. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Artificial intelligence and neuroimaging enable accurate dementia prediction but often involve 'black box' models that can be difficult to trust. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Hypertension remains a leading modifiable risk factor for cardiovascular and renal conditions and dementia. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
= 1), and three caregivers. Five key themes were identified, including ease of use, wearability, usefulness, transparency, and behavioral intention. 5 key findings →
Evidence: moderate
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Alzheimer’s disease (AD) is a chronic neurological disease and one of the main causes of dementia in around the world. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The presented results suggest the suitability of ecological handwriting analysis for the all-around monitoring of MCI, from early screening to disease progression evaluation. 4 key findings →
Participants: 57 Evidence: low
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HEK293, Neuro2a and SH-SY5Y expressing increased levels of α-synuclein were treated with sonicated α-synuclein pre-formed fibrils, to model seeded aggregation. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
IRMA can be used to learn and disregard center-specific information in features extracted from brain $$^{18}$$ 18 F-FDG PET scans, while retaining disease-specific information. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Of the 5200 participants (mean age = 71.0 years, 57.1% females), 302 (5.8%) were diagnosed with dementia. 5 key findings →
Participants: 2,080 Evidence: low
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MAP-RTAP (AUC = 0.78) and pTau/Aβ42 (AUC = 0.76) were the best performing individual biomarkers. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
There are meaningful differences in the readability of patient information generated by different large language models. 4 key findings →
Design: cross-sectional Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
BackgroundAlzheimer's disease (AD) causes cognitive function disorder and has become the preeminent cause of dementia. 1 key finding →
Evidence: low
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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 →