27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Plasma p-tau217 and tau positron emission tomography (PET) are strong prognostic biomarkers in Alzheimer's disease (AD), but their relative performance in predicting future cognitive decline among cognitively unimpaired (CU) individuals is unclear. 2 key findings →
Design: cohort Participants: 1,474 Evidence: high
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Among 171 Aβ-positive CU participants included in the main analyses, 119 (mean [SD] age, 73.0 [5.4] years; 60.5% female) were from the BioFINDER-1 study, and 52 (mean [SD] age, 64.4 [4.6] years; 65.4% female) were from the WRAP study. 2 key findings →
Design: cohort study Participants: 564 Evidence: moderate
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Although recent clinical trials targeting amyloid-β in Alzheimer's disease have shown promising results, there is increasing evidence suggesting that understanding alternative disease pathways that interact with amyloid-β metabolism and amyloid pathology might be important to halt the clinical deterioration. 4 key findings →
Design: longitudinal study Participants: 75 Evidence: moderate
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Of a total 912 participants, there were 499 males (54.7%) and 413 females (45.3%), and the mean (SD) age was 71.1 (8.49) years. 5 key findings →
Design: cohort Participants: 912 Evidence: high
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Mean age was 83.5 (SD, 8.5) years in cohort 1, 69.1 (SD, 10.3) years in cohort 2, and 35.8 (SD, 10.7) years in cohort 3; 38% were women in cohort 1, 51% in cohort 2, and 57% in cohort 3. 4 key findings →
Design: cross-sectional Participants: 301 Evidence: moderate
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A major unanswered question in the dementia field is whether cognitively unimpaired individuals who harbor both Alzheimer's disease neuropathological hallmarks (that is, amyloid-β plaques and tau neurofibrillary tangles) can preserve their cognition over time or are destined to decline. 3 key findings →
Participants: 1,325 Evidence: low
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Of 490 participants, 251 were women (51.2%) and the mean (SD) age was 65.9 (13.1) years. 4 key findings →
Design: cohort study Participants: 225 Evidence: moderate
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Cerebrospinal fluid (CSF) p-tau181 (tau phosphorylated at threonine 181) is an established biomarker of Alzheimer's disease (AD), reflecting abnormal tau metabolism in the brain. 3 key findings →
Design: longitudinal study Participants: 194 Evidence: moderate
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Plasma tau partly reflects AD pathology, but the overlap between normal aging and AD is large, especially in patients without dementia. 3 key findings →
Design: longitudinal study Participants: 179 Evidence: moderate
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Neuroinflammation and cerebrovascular dysfunction are early events occurring already at presymptomatic stages of AD and contribute to disease progression. 5 key findings →
Design: longitudinal study Participants: 508 Evidence: moderate
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Participants had a mean (SD) age of 66.9 (9.9) years; 971 (33.3%) were Aβ positive by either CSF or PET, 1667 (57.2%) were women, and 1108 (38.1%) carried at least 1 APOE ε4 allele. 5 key findings →
Design: cross-sectional Participants: 2,916 Evidence: high
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SNAP-25 and 14-3-3 zeta/delta also had the strongest associations with tau-PET, amyloid-β-PET and cortical thickness at baseline and were associated with longitudinal changes in these imaging biomarkers [β(standard error, SE) = -0.056(0.0006) to 0.058(0.005), P < 0.0001]. 3 key findings →
Design: longitudinal study Participants: 205 Evidence: moderate
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The mean (SD) age of the 842 participants in cohort 1 was 72 (5.6) years, with a range of 59 to 88 years, and 446 (52.5%) were female. 3 key findings →
Design: cross-sectional Participants: 842 Evidence: moderate
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A combination of plasma phospho-tau (P-tau) and other accessible biomarkers might provide accurate prediction about the risk of developing Alzheimer's disease (AD) dementia. 2 key findings →
Participants: 340 Evidence: low
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We evaluated the performance of CSF biomarkers for predicting risk of clinical decline and conversion to dementia in non-demented patients with cognitive symptoms. 4 key findings →
Design: longitudinal study Participants: 619 Evidence: moderate
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It is currently unclear whether plasma biomarkers can be used as independent prognostic tools to predict changes associated with early Alzheimer's disease. 4 key findings →
Design: longitudinal study Participants: 123 Evidence: moderate
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Increased levels of triglycerides at midlife predict brain Aβ and tau pathology 20 years later in cognitively healthy individuals. 5 key findings →
Design: cohort study Participants: 134 Evidence: moderate
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In the discovery cohort, the mean (SD) age was 70.9 (8.5) years, 191 (58%) were male, the mean (SD) MMSE score was 27.1 (1.9), and 110 individuals with MCI (33%) converted to dementia (71 to AD dementia). 4 key findings →
Design: cohort study Participants: 110 Evidence: moderate
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The BioFINDER-2 main cohort included 872 participants, with an additional 156 participants in the Knight ADRC cohort for independent validation. 2 key findings →
Design: cohort Participants: 1,028 Evidence: high
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Elecsys CSF biomarker assays may provide reliable alternatives to PET in Alzheimer's disease diagnosis. 3 key findings →
Participants: 277 Evidence: moderate
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Among 641 participants with CSF Aβ42 data and at least two 18F-florbetapir scans, 335 (52.3%) were male. 4 key findings →
Design: cohort study Participants: 402 Evidence: moderate
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Our findings show that different AT(N) variants are not interchangeable, and that optimal variants differ by clinical stage. 4 key findings →
Design: longitudinal study Participants: 490 Evidence: moderate
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Most neuroinflammatory CSF biomarkers were associated with WML in individuals without dementia. 5 key findings →
Design: longitudinal study Participants: 247 Evidence: moderate
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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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Impaired spatial navigation was associated with conversion to dementia within 2 and 4 years and with key CSF and MRI biomarkers for AD and neurodegeneration in patients with SCD and MCI. 5 key findings →
Design: cohort study Participants: 176 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 →