30,980 Alzheimer's and dementia studies in plain English, each scored out of 100.
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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The best CSF measures for identifying MCI-AD were Aβ42/total tau (t-tau) and Aβ42/hyperphosphorylated tau (p-tau) (area under the curve [AUC] 0.93-0.94). 3 key findings →
Design: longitudinal study Participants: 122 Evidence: moderate
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In response to sleep loss (+17.2%), compared with normal sleep (+1.8%), the evening to morning ratio was increased for t-tau ( p = 0.035). 4 key findings →
Evidence: high
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The prevalence of pathologic AD markers was very common (46%) in a representative population sample of 70-year-olds. 3 key findings →
Design: cohort study Participants: 322 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 a community-based cohort of 70-year olds, P-NfL was associated with both prevalent and incident CKD, while CSF and/or imaging measures did not differ by CKD status. 3 key findings →
Design: cohort study Participants: 744 Evidence: moderate
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Our study suggests a possible utility of plasma Aβ42/40, P-tau181, and P-tau231 as a noninvasive biomarkers to assess amyloid copathology in DLB, and plasma GFAP and NfL as monitoring biomarkers for cognitive symptoms in DLB. 4 key findings →
Design: cohort study Participants: 89 Evidence: moderate
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Plasma phosphorylated tau at threonine 181 (p-tau181), a well-validated marker of Alzheimer disease (AD) pathologic change, could be a more efficient way to diagnose AD than invasive or expensive biomarkers requiring CSF or PET. 4 key findings →
Design: cross-sectional Participants: 571 Evidence: moderate
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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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All synaptic biomarkers tested had a good discriminatory power to distinguish patients with AD abnormal CSF from those with non-AD disorders. 4 key findings →
Design: cross-sectional Participants: 81 Evidence: moderate
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Choroid plexus (ChP) is emerging as a key brain structure in the pathophysiology of neurodegenerative disorders. 4 key findings →
Design: longitudinal study Participants: 135 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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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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Elecsys-derived CSF biomarkers detect AD neuropathologic changes with very high discriminative accuracy in vivo. 2 key findings →
Participants: 27 Evidence: low
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CSF biomarkers of angiogenesis are increased in PD, and they are associated with gait difficulties, BBB dysfunction, WMLs, and CMB. 5 key findings →
Design: cross-sectional Participants: 100 Evidence: low
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The proposed novel, pragmatic method to determine CSF biomarker cutoffs for AD does not require assessment of other biomarkers or assumptions concerning the clinical diagnosis of patients. 1 key finding →
Participants: 497 Evidence: low
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These results provide evidence that, in the absence of significant neurodegenerative processes, individuals who harbor AD neuropathology may remain cognitively unimpaired. 4 key findings →
Design: cross-sectional Participants: 79 Evidence: low
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A subgroup of patients with Alzheimer disease with extreme levels of CSF biomarkers exhibits worse clinical outcomes over time, including faster progression of cognitive deficits, no response to ChEI treatment, and a higher mortality. 1 key finding →
Participants: 151 Evidence: low
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Amyloid-positive cognitively healthy participants showed a significant increase in mI/creatine and mI/NAA levels compared to amyloid-negative healthy elderly (p Conclusions mI levels are elevated already at asymptomatic stages of AD. 2 key findings →
Design: cross-sectional Evidence: low
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Elevated baseline plasma NfL is a prognostic marker of cognitive decline and neuroimaging measures of neurodegeneration, and has similar effect sizes to baseline CSF NfL. 4 key findings →
Design: cross-sectional Evidence: moderate
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The epsilon4 allele of APOE is a risk factor for Alzheimer disease (AD). 1 key finding →
Participants: 563 Evidence: moderate
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Increased concentrations of baseline plasma t-tau may predict in vivo structural BFCS atrophy progression in older adults at risk for AD, independently of β-amyloid status and APOE genotype. 3 key findings →
Participants: 251 Evidence: moderate
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Ninety-five individuals from the Wisconsin Registry for Alzheimer's Prevention were included in these cross-sectional analyses. 4 key findings →
Design: cross-sectional Evidence: moderate
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These in vivo data support the role of Aβ pathology in the etiology and highlight the potential utility of CSF Aβ42 as an early prognostic biomarker of dementia associated with PD. 3 key findings →
Participants: 20 Evidence: moderate
Full summary, score breakdown and related studies → Original source
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 30,980 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 30,980 records, built mostly from automated pulls of Europe PMC (65.2% of the library) and OpenAlex (16.4%), 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.
1,042 records (3.4% of the library) are not peer-reviewed — 967 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 →
Newest studies, as a dated timeline → Atom feed Where this research is being discussed: events