30,580 Alzheimer's and dementia studies in plain English, each scored out of 100.
The heterogeneity of neurodegenerative diseases is a key confound to disease understanding and treatment development, as study cohorts typically include multiple phenotypes on distinct disease trajectories. 1 key finding →
Design: cross-sectional Evidence: low
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Hearing impairment in older adults is independently associated in longitudinal studies with accelerated cognitive decline and incident dementia, and in cross-sectional studies, with reduced volumes in the auditory cortex. 5 key findings →
Design: cross-sectional Participants: 126 Evidence: moderate
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We evaluated 22 persons with nfvPPA (mean age: 67.3 years; 13 female patients) and confirmed underlying 4-repeat tauopathy, 15 persons with semantic variant primary progressive aphasia (svPPA; mean age: 66.5 years; 8 female patients), and 10 healthy controls (HCs; 70 years; 5 female patients). 3 key findings →
Design: cross-sectional Participants: 12 Evidence: moderate
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A fully automated computational approach included classical statistical methods, support vector machine procedures, and machine learning techniques (random forest and sequential feature selection procedures). 4 key findings →
Design: cross-sectional Participants: 1,794 Evidence: moderate
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We evaluated 62 Automated speech analysis demonstrated high accuracy in differentiating FTD subtypes and provided insights into the neural basis of language impairments. 3 key findings →
Design: cross-sectional Participants: 16 Evidence: moderate
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The structure and integrity of the ageing brain is interchangeably linked to physical health, and cardiometabolic risk factors (CMRs) are associated with dementia and other brain disorders. 4 key findings →
Design: cross-sectional Evidence: high
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Having multiple CMBs or concomitant CMBs and retinopathy is associated with a profile of vascular cognitive impairment. 5 key findings →
Design: cross-sectional Participants: 3,906 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
One of the major symptoms of semantic dementia (or progressive fluent aphasia) is profound word-finding difficulties. 2 key findings →
Design: cross-sectional Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
We demonstrated that it was both feasible and acceptable to set up these sensors in the community and unobtrusively collect data. 3 key findings →
Design: cross-sectional Participants: 59 Evidence: low
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11 variables were critical in the training phase, including educational level, depression, insomnia, age, Body Mass Index (BMI), medication count, gender, stenting, systolic blood pressure (sbp), neurosis and rapid eye movement. 4 key findings →
Design: cross-sectional Participants: 2,379 Evidence: low
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A gradient boosted machine (GBM) predicted the presence of AD as a function of gender, age, education, socioeconomic status (SES), and a mini-mental state exam (MMSE). 5 key findings →
Design: cross-sectional Evidence: low
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Actigraphy accurately identifies different dementia etiologies and could serve as a supplement to diagnostic investigations in patients with suspected AD for differential diagnostic purposes. 1 key finding →
Design: cross-sectional Participants: 29 Evidence: low
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Machine learning (ML) on structural MRI data shows high potential for classifying Alzheimer's disease (AD) progression, but the specific contribution of brain regions, demographics, and proteinopathy remains unclear. 5 key findings →
Design: cross-sectional Participants: 568 Evidence: moderate
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This study examines the impact of progressive degeneration of conceptual knowledge on the content words used in connected speech elicited using the Cookie Theft picture description (Goodglass & Kaplan. 1983). 3 key findings →
Design: cross-sectional Evidence: moderate
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Lower SES and education were the strongest predictors of increased behavioral risk. 5 key findings →
Design: cross-sectional Participants: 1,730 Evidence: low
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Knowledge about dementia is low and the symptoms are accepted as a problem of old age. 4 key findings →
Design: cross-sectional Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Design the FINnish ORAL Health Study in Long-Term Care study is a cross-sectional clinical research comprising findings on oral and general health and nutrition. 1 key finding →
Design: cross-sectional Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
All groups showed significantly increased brain-PAD, and the median (IQR) brain-PAD was 4.3 (5.4) years in MCI, 6.3 (6.2) years in AD, and 5.0 (6.5) years in DLB. 4 key findings →
Design: cross-sectional Participants: 185 Evidence: low
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Significant alterations were observed in 7 lipid classes and 65 specific lipid species in DLB compared to AD. 5 key findings →
Design: cross-sectional Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Caregivers with higher mastery had less NE reactivity to the stressor task. 2 key findings →
Design: cross-sectional Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Epidemiological data show that both PD incidence rate and prevalence rate show a significant age-dependent growth trend [3]. 5 key findings →
Design: cross-sectional Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The clinical neuropsychologic profiles of patients with Parkinson's disease and patients with SDAT show both overlap and dissociation. 1 key finding →
Design: cross-sectional Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Pain assessment remains challenging in clinical practice. 1 key finding →
Design: cross-sectional Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
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.
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 30,580 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 30,580 records, built mostly from automated pulls of Europe PMC (64.7% of the library) and OpenAlex (16.6%), 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.
1,037 records (3.4% 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 →
Newest studies, as a dated timeline → Atom feed Where this research is being discussed: events