27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
The Alzheimer's Disease Neuroimaging Initiative (ADNI) is an ongoing, longitudinal, multicenter study designed to develop clinical, imaging, genetic, and biochemical biomarkers for the early detection and tracking of Alzheimer's disease (AD). 4 key findings →
Design: longitudinal study Participants: 400 Evidence: moderate
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Peripheral glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) are sensitive markers of neuroinflammation and neuronal damage. 4 key findings →
Design: cohort study Participants: 48,542 Evidence: moderate
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¹⁸F-FDFG uptake by brain tissue as measured by positron emission tomography (PET) is a well-established method for assessment of brain function in people with dementia. 4 key findings →
Design: meta-analysis Participants: 14 Evidence: high
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The clinical value of current multifactorial algorithms for individualized assessment of dementia risk remains unclear. 4 key findings →
Design: cohort study Participants: 4,865 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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Plasma amyloid-β (Aβ) peptide levels have been examined as a low-cost accessible marker for risk of incident Alzheimer's disease (AD) and dementia, but results have varied between studies. 4 key findings →
Participants: 2,189 Evidence: low
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Although loneliness and social isolation have been linked to an increased risk of non-communicable diseases such as cardiovascular disease and dementia, their association with the risk of severe infection is uncertain. 4 key findings →
Design: cohort study Participants: 905 Evidence: moderate
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We tested the hypothesis that a causal relationship exists between systolic BP (SBP) and/or diastolic BP (DBP) and risk of Alzheimer's disease (AD). 4 key findings →
Design: meta-analysis Participants: 299,024 Evidence: high
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Studying causal exposure effects on dementia is challenging when death is a competing event. 4 key findings →
Design: randomized controlled trial Evidence: high
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Subjective cognitive decline (SCD) is recognized to be in the Alzheimer disease (AD) cognitive continuum. 4 key findings →
Design: cohort study Participants: 3,585 Evidence: moderate
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Socioeconomic factors and genetic predisposition are established risk factors for dementia. 4 key findings →
Design: cohort study Participants: 196,368 Evidence: moderate
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Cerebral hypoperfusion has previously been associated with mild cognitive impairment and dementia in various cross-sectional studies, but whether hypoperfusion precedes neurodegeneration is unknown. 4 key findings →
Design: cross-sectional Participants: 4,759 Evidence: low
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We developed models for individualized risk prediction of cognitive decline in mild cognitive impairment (MCI) using plasma biomarkers of β-amyloid (Aβ), tau and neurodegeneration. 4 key findings →
Design: longitudinal study Participants: 573 Evidence: moderate
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We re-assessed after longer follow-up time in the large population-based cohort of the Rotterdam Study whether smoking habits and pack-years of smoking are associated with the risk of dementia, Alzheimer disease (AD), and vascular dementia (VaD). 4 key findings →
Design: cohort study Participants: 6,868 Evidence: moderate
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Dementia risk may be attenuated by physical activity (PA); however, the specific activity levels optimal for dementia prevention are unclear. 4 key findings →
Design: cohort study Participants: 1,604 Evidence: moderate
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Midlife vascular risk burden is associated with late-life dementia. 4 key findings →
Design: cohort study Participants: 502 Evidence: moderate
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To systematically review the literature for dementia prediction models for use in the general population and externally validate their performance in a head-to-head comparison. 4 key findings →
Participants: 867 Evidence: low
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Individual conditions have been identified as risk factors for dementia; however, it is important to consider the role of multimorbidity, as conditions often co-occur. 4 key findings →
Design: cohort study Participants: 960 Evidence: moderate
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Whether this results in an increased risk for dementia remains unclear. 4 key findings →
Design: prospective cohort Participants: 3,975 Evidence: moderate
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Females are disproportionately affected by dementia due to Alzheimer's disease. 4 key findings →
Design: longitudinal study Participants: 457 Evidence: moderate
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Low bone mineral density (BMD) and dementia commonly co-occur in older individuals, with bone loss accelerating in patients with dementia due to physical inactivity and poor nutrition. 4 key findings →
Design: cohort study Participants: 3,651 Evidence: moderate
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A biomarker panel was identified that included markers significantly increased (cortisol, pancreatic polypeptide, insulinlike growth factor binding protein 2, β(2) microglobulin, vascular cell adhesion molecule 1, carcinoembryonic antigen, matrix metalloprotein 2, CD40, macrophage inflammatory protein 1α, superoxide dismutase, and homocysteine) and decreased (apolipoprotein E, epidermal growth factor receptor, hemoglobin, calcium, zinc, interleukin 17, and albumin) in AD. 5 key findings →
Design: longitudinal study Participants: 207 Evidence: moderate
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Retinal structures may serve as a biomarker for dementia, but longitudinal studies examining this link are lacking. 4 key findings →
Design: longitudinal study Participants: 5,065 Evidence: moderate
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Late-life depression (LLD) is characterized by considerable heterogeneity in clinical manifestation. 4 key findings →
Design: longitudinal study Participants: 996 Evidence: moderate
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Central immunity components especially microglia in dementia have been well studied and corresponding immunotherapy gradually caught the attention. 4 key findings →
Design: longitudinal study Participants: 361,653 Evidence: moderate
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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 →