27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. 5 key findings →
Design: meta-analysis Participants: 94,437 Evidence: high
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Dementia is a leading cause of death and disability worldwide. 3 key findings →
Design: RCT Participants: 33,995 Evidence: high
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The likelihood of amyloid positivity was associated with age and APOE ε4 status. 3 key findings →
Design: meta-analysis Participants: 377 Evidence: high
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The Alzheimer Disease Genetics Consortium (ADGC) performed a genome-wide association study of late-onset Alzheimer disease using a three-stage design consisting of a discovery stage (stage 1) and two replication stages (stages 2 and 3). 1 key finding →
Design: meta-analysis Evidence: high
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Using cross-population GWAS meta-analyses, we identify novel LOAD susceptibility loci in/near LRRC4C and LHX5-AS1, both with known roles in neuronal development, as well as several novel population-unique loci. 1 key finding →
Design: meta-analysis Participants: 409,589 Evidence: high
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Frontotemporal lobar degeneration with neuronal inclusions of the TAR DNA-binding protein 43 (FTLD-TDP) is a fatal neurodegenerative disorder with only a limited number of risk loci identified. 3 key findings →
Design: meta-analysis Participants: 985 Evidence: high
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Citalopram is effective in treating agitation in Alzheimer's dementia (AD), but it is associated with cognitive and cardiac risks, likely due to its R-enantiomer. 5 key findings →
Design: phase-3-trial Participants: 173 Evidence: null result
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This study demonstrated statistically significant differences between physostigmine and placebo on both a performance-based cognitive functioning instrument and a clinician's global evaluation. 5 key findings →
Participants: 366 Evidence: high
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Brain iron elevation is implicated in Alzheimer's disease (AD) pathogenesis, but the impact of iron on disease outcomes has not been previously explored in a longitudinal study. 3 key findings →
Design: longitudinal study Evidence: moderate
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We created global rating scoring rules for the CDR ® plus NACC FTLD to detect and track early frontotemporal lobar degeneration (FTLD) and to conduct clinical trials in FTLD. 4 key findings →
Design: longitudinal study Participants: 40 Evidence: moderate
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Of 486 older adults who provided consent, 375 (with rMDD, MCI, or both) received at least 1 intervention session (mean [SD] age, 72.2 [6.4] years; 232 women [62%] and 143 men [38%]). 3 key findings →
Evidence: high
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In this multicenter randomized clinical trial among older adults with family history of dementia and/or self-reported subjective cognitive decline, exercise, IRVR, or both did not result in statistically significant differences in improvements in cognitive function over 24 months. 5 key findings →
Participants: 3,290 Evidence: high
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LATE-NC is a common TDP-43 proteinopathy, associated with an amnestic dementia syndrome that mimicked Alzheimer's-type dementia in retrospective autopsy studies. 4 key findings →
Evidence: low
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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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Florbetapir F 18 PET can image amyloid-β (Aβ) aggregates in the brains of living subjects. 4 key findings →
Design: longitudinal study Participants: 51 Evidence: moderate
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Experimental evidence suggests that activated microglia induce astrocyte reactivity in neurodegenerative disorders, such as Alzheimer's disease (AD). 3 key findings →
Design: cohort Participants: 352 Evidence: moderate
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In clinically normal older adults, lower functional connectivity predicted more rapid decline in PACC scores over time, particularly when coupled with increased Aβ burden. 2 key findings →
Design: longitudinal study Participants: 237 Evidence: moderate
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Frontotemporal lobar degeneration (FTLD) is the second most common cause of presenile dementia. 1 key finding →
Participants: 515 Evidence: low
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These findings highlight substantial disparities in the timeliness and comprehensiveness of dementia diagnosis. 4 key findings →
Design: cross-sectional Participants: 993 Evidence: low
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MarkVCID2 enrolled 1883 individuals age 73.4 ± 7.5 years, 65.0% female, 24.2% Hispanic, and 27.1% non-Hispanic Black. 5 key findings →
Design: longitudinal study Participants: 1,883 Evidence: moderate
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Using the Swedish BioFINDER-2 cohort [n = 1702, 50.7% male, mean (standard deviation) age 68.4 (12.2) years], we compared the associations between tau/Aβ-PET load and fluid biomarkers alone versus biomarkers in a ratio with a reference protein (Aβ40 or np-tau) in univariate linear regression models. 5 key findings →
Design: longitudinal study Participants: 1,702 Evidence: moderate
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In this cross-sectional study of plasma biomarkers by race and genetic ancestry, the results indicated that plasma p-tau181, Aβ40, and NFL were lower in African American individuals based on self-reported race but not genetic ancestry. 3 key findings →
Design: cross-sectional Participants: 617 Evidence: low
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If confirmed in longitudinal studies, these data would suggest circulating beta-amyloid peptide as a novel biomarker or risk factor for microvascular damage in these common diseases of the elderly. 2 key findings →
Design: cross-sectional Participants: 54 Evidence: moderate
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We recommend a new term, "primary age-related tauopathy" (PART), to describe a pathology that is commonly observed in the brains of aged individuals. 5 key findings →
Evidence: low
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Our results suggest that the TREM2 p.R47H substitution is a risk factor for frontotemporal dementia and Parkinson's disease in addition to Alzheimer's disease. 4 key findings →
Participants: 609 Evidence: low
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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 →