31,780 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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Plasma biomarkers of AD neuropathology, neuronal injury, and astrogliosis increase with age and are associated with known dementia risk factors. 5 key findings →
Design: cohort Participants: 1,525 Evidence: high
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Reduction of amyloid via amyloid-targeting therapies may result in clinical benefit. 2 key findings →
Design: clinical trial Participants: 1,582 Evidence: high
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Neurofilament light chain (NfL) is a promising fluid biomarker of disease progression for various cerebral proteopathies. 2 key findings →
Design: cross-sectional Participants: 187 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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These two conclusions support a dynamic biomarker model in which Alzheimer's disease is characterized first by the appearance of amyloidosis and later by tauopathy, with tauopathy being the proteinopathy associated with clinical symptoms. 1 key finding →
Design: longitudinal study Participants: 1,343 Evidence: moderate
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Analyses measured the associations between predictor variables and the memory score, and whether AT(N) biomarker profiles significantly improved prediction of memory z score rates of change beyond a model with clinical and genetic variables only. 3 key findings →
Design: cohort study Participants: 480 Evidence: moderate
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These were compared with the prevalence of 3 clinically defined diagnostic groups (mild cognitive impairment or dementia, dementia, and clinically defined probable Alzheimer disease). 4 key findings →
Design: cohort study Participants: 4,660 Evidence: moderate
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CKD was associated with increased p-tau217 concentrations when measuring p-tau217 by ALZpath and C 2 N methodologies, but the effect was mitigated by the use of %p-tau217. 5 key findings →
Design: cross-sectional Participants: 202 Evidence: moderate
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CSF A beta(1-42) was the most sensitive biomarker for AD in the autopsy cohort of CSF samples: receiver operating characteristic area under the curve of 0.913 and sensitivity for AD detection of 96.4%. 4 key findings →
Evidence: moderate
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Of 386 participants, 199 (52%) were female, and the mean (SD) age was 68 (8) years. 3 key findings →
Design: cohort study Participants: 113 Evidence: moderate
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In this largely presymptomatic population, these results suggest subtle differences across plasma p-tau species and platforms for the prediction of amyloid and tau PET and magnetic resonance imaging measures of cerebrovascular and Alzheimer-related pathology. 5 key findings →
Participants: 1,329 Evidence: low
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In DIAD, solanezumab was not associated with ARIA. 5 key findings →
Design: cross-sectional Participants: 52 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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This study proposes a model that relates disease stages to Alzheimer's disease biomarkers.
Evidence: low
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This study updated a 2010 hypothetical model of major Alzheimer's disease (AD) biomarkers based on new evidence. 5 key findings →
Evidence: low
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Studies evaluating the diagnostic test accuracy of plasma phosphorylated tau (p-tau) and amyloid beta (Aβ) tests (p-tau217, %p-tau217, p-tau181, p-tau231, and Aβ42/Aβ40) compared to reference standard tests (cerebrospinal fluid [CSF] AD biomarkers, amyloid positron emission tomography [PET], or neuropathology) in individuals with cognitive impairment (mild cognitive impairment or dementia) in specialized care settings were included. 4 key findings →
Design: meta-analysis Evidence: moderate
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Overall, memory worsened from age 30 years through the 90s. The HVa worsened gradually from age 30 years to the mid-60s and more steeply beyond that age. 5 key findings →
Design: cross-sectional Participants: 1,246 Evidence: low
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These factors should be investigated in longitudinal studies for their role in detecting onset of symptoms in AD. 1 key finding →
Design: longitudinal study Participants: 749 Evidence: moderate
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Anti-amyloid treatments for early symptomatic Alzheimer disease have recently become clinically available in some countries, which has greatly increased the need for biomarker confirmation of amyloid pathology. 5 key findings →
Evidence: moderate
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Plasma p-tau217 and p-tau217/Aβ42 concentrations demonstrated robust diagnostic performance in a heterogeneous clinical cohort; interpretation requires consideration of kidney function. 5 key findings →
Design: cross-sectional Participants: 509 Evidence: moderate
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This cross-sectional evaluation of the NIA-AA criteria for preclinical AD indicates that the 1-3 staging criteria coupled with stage 0 and SNAP categories classify 97% of CN subjects from a population-based sample, leaving only 3% unclassified. 2 key findings →
Design: cross-sectional Evidence: moderate
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This roughly 15-year interval where the slope of the amyloid SUVR vs time curve is greatest and roughly linear represents a large therapeutic window for secondary preventive interventions. 1 key finding →
Participants: 246 Evidence: low
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We observed no differences in plasma AD biomarker levels between AA and NHW participants. 5 key findings →
Participants: 267 Evidence: moderate
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While plasma biomarkers for Alzheimer's disease (AD) are increasingly being evaluated for clinical diagnosis and prognosis, few population-based autopsy studies have evaluated their utility in the context of predicting neuropathological changes. 3 key findings →
Participants: 350 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 31,780 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 31,780 records, built mostly from automated pulls of Europe PMC (66% of the library) and OpenAlex (16%), 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.
1,052 records (3.3% of the library) are not peer-reviewed — 973 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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