32,180 Alzheimer's and dementia studies in plain English, each scored out of 100.
Biomarkers were measured in 431 Black and 583 White participants (mean age of 77 and 80 years and 17% and 21% of men, respectively), generating a balanced sample of 366:366. 3 key findings →
Design: cohort Participants: 1,014 Evidence: moderate
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Blood biomarkers showed significant longitudinal changes corresponding to cognitive decline, clinical AD, and structural MRI characteristics. 5 key findings →
Design: longitudinal study Participants: 1,327 Evidence: moderate
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One hundred eighty-seven participants with brain autopsy (NPDx1: AD n = 85; other n = 102; mean age: 74.3 years, 38.5% female; interval blood collection-death [mean ± SD]: 2.8 ± 1.6 years) and 67 NC without brain autopsy (mean age: 66.5 years, 71.6% female) were included. pTau217, but not GFAP, levels increased stepwise with increasing Thal phases (β = 0.61; 95% CI [0.24-0.97] to β = 0.91 [0.55-1.27]) and Braak stages (β = 0.59; [0.16-1.01] to β = 0.74 [0.33-1.15]). 5 key findings →
Design: cohort study Participants: 85 Evidence: moderate
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Serum NfL concentration is increased in FAD prior to symptom onset and correlates with measures of disease stage and severity. 3 key findings →
Design: cross-sectional Participants: 48 Evidence: low
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Plasma NfL is superior to plasma t-tau for the diagnosis and prediction of clinical progression of FTLD-S and AD-S. Classification of evidence This study provides Class III evidence that plasma NfL has superior diagnostic and prognostic performance vs plasma t-tau in FTLD and AD. 2 key findings →
Design: cross-sectional Participants: 265 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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This study examined whether levels of blood biomarkers of amyloid (Aβ 42 /Aβ 40 ratio), tau (p-tau 181 ), neurodegeneration (NfL), and glial activation and neuroinflammation (glial fibrillary acidic protein [GFAP], YKL40, soluble triggering receptor expressed on myeloid cells 2 [sTREM2]) collected when participants were cognitively normal are associated with the time to onset of MCI. 5 key findings →
Design: longitudinal study Participants: 271 Evidence: moderate
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Greater neighborhood disadvantage was associated with elevated inflammatory and AD CSF biomarkers cross-sectionally and longitudinal increases in a nonspecific inflammatory blood biomarker. 5 key findings →
Design: longitudinal study Participants: 334 Evidence: moderate
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Biomarkers have become an essential component of Alzheimer disease (AD) research and because of the pervasiveness of AD pathology in the elderly, the same biomarkers are used in cognitive aging research. 1 key finding →
Evidence: low
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Among individuals presenting with SCD at a memory clinic, those with a biomarker profile A-T+N+, A+T-N-, A+T+N-, and A+T+N+ were at increased risk of dementia, and showed steeper cognitive decline compared to A-T-N- individuals. 4 key findings →
Participants: 385 Evidence: moderate
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Self-report of poor sleep was associated with greater AD-related pathology in cognitively healthy adults at risk for AD. 3 key findings →
Participants: 101 Evidence: moderate
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Further analyses to determine clinical utility are warranted. 2 key findings →
Participants: 1,890 Evidence: low
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Both CSF p-tau and NfL correlate with disease severity and rate of disease progression in PSP. 4 key findings →
Participants: 50 Evidence: low
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Amyloid accumulation was evaluated in 236 individuals who underwent >1 amyloid PET scan. 1 key finding →
Design: longitudinal study Participants: 236 Evidence: moderate
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Pericyte damage, reflected by CSF PDGFRβ, may be involved in age-related BBB disruption together with neuroinflammation, but is not related to Alzheimer-related pathologic changes. 2 key findings →
Participants: 408 Evidence: moderate
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Plasma p-tau217 levels showed a significant increase across advancing AD stages, with all between-group comparisons remaining significant after false discovery rate adjustment ( p p = 0.002) and CSF p-tau181 (β = 3.2, 95% CI 1.4-5.0, p = 0.001). 5 key findings →
Design: cohort study Participants: 731 Evidence: moderate
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We constructed models for MCI and mild dementia that predict MMSE over time. 1 key finding →
Design: longitudinal study Participants: 961 Evidence: moderate
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Across the cohort of 212 individuals with SCD+ (M(Age) = 69.17 years, F 42.45%), 258 individuals with MCI (M(Age) = 72.93, F 43.80%), and 195 individuals with dementia (M(Age) = 74.07, F 48.72%), no main effect of education (ß = 0.52, 95% CI -0.30 to 1.58), but a significant education-by-group interaction on CL values, was found ( p = 0.024) using linear regression modeling. 1 key finding →
Participants: 212 Evidence: high
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A total of 807 K-ROAD participants (median age 72.0 years, 58.7% female) and 230 ADNI participants (median age 70.9 years, 49.1% female) were analyzed. 5 key findings →
Design: cohort study Participants: 807 Evidence: moderate
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Plasma Aβ42/Aβ40, especially when combined with age and APOE ε4 status, accurately diagnoses brain amyloidosis and can be used to screen cognitively normal individuals for brain amyloidosis. 2 key findings →
Evidence: low
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CSF biomarkers, including P-tau, T-tau, Aβ 42 , Aβ 40 , and NFL, support in vivo identification of AD neuropathology and correlate with FTLD neuropathology. 4 key findings →
Participants: 101 Evidence: low
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The combination of sAPPβ with YKL-40 and with NfL in CSF could be useful to increase the certainty of the diagnosis of FTLD-related syndromes in clinical practice. 2 key findings →
Design: cross-sectional Participants: 159 Evidence: moderate
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Although all p-tau variants increased across the AD continuum, p-tau217 Lilly showed the greatest dynamic range (13-fold increase vs 1.9-5.4-fold increase for other p-tau variants for AD dementia vs non-AD). 2 key findings →
Participants: 334 Evidence: low
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We developed, replicated, and validated an MRI measure of cerebrovascular and neurodegenerative pathologies that are associated with clinical and neuropathologic diagnosis of AD and related to established biomarkers. 5 key findings →
Design: cross-sectional Participants: 1,175 Evidence: moderate
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= 0.02, 95% CI -0.07 to -0.01) network connectivity. 5 key findings →
Design: longitudinal study Participants: 421 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 32,180 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 32,180 records, built mostly from automated pulls of Europe PMC (66.5% of the library) and OpenAlex (15.8%), 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.
1,045 records (3.2% of the library) are not peer-reviewed — 966 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 →
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