31,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
These six markers describe six clinicopathological stages from cognitive normalcy to mild dementia, including stages defined by increased risk of cognitive decline. 1 key finding →
Participants: 24 Evidence: moderate
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Our results indicate that altered tau and Abeta42 concentrations may be detectable in subjects who are clinically diagnosed as having MCI but demonstrate the pathological changes of AD. 5 key findings →
Design: longitudinal study Participants: 28 Evidence: moderate
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CSF levels of YKL-40 may have utility for discriminating between cognitively normal individuals and patients with MCI or AD. 2 key findings →
Design: longitudinal study Evidence: moderate
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Our study indicates that EEG can be used as a useful screening tool for the diagnosis and disease progression evaluation of MCI and AD. 2 key findings →
Participants: 890 Evidence: low
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The diagnostic guidelines of Alzheimer's disease (AD) have recently been updated to include brain imaging and cerebrospinal fluid (CSF) biomarkers, with the aim of increasing the certainty of whether a patient has an ongoing AD neuropathologic process or not. 3 key findings →
Design: cross-sectional Evidence: moderate
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Baseline plasma NfL was associated with increased risk of dementia/death in the entire cohort. 4 key findings →
Design: longitudinal study Participants: 131 Evidence: moderate
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By fitting Cox proportional hazards models, we find that baseline model stage is a significant risk factor for conversion from both mild cognitive impairment to Alzheimer's disease (P = 2.06 × 10(-7)) and cognitively normal to mild cognitive impairment (P = 0.033). 2 key findings →
Evidence: low
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We developed an accurate prognostic model for predicting MCI-to-dementia progression over a three-year period. 4 key findings →
Participants: 139 Evidence: low
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Dehydration can affect the volume of brain structures, which might imply a confound in volumetric and morphometric studies of normal or diseased brain. 3 key findings →
Design: longitudinal study Evidence: moderate
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Low baseline Aβ42/Aβ40 was significantly associated with increased amyloid accumulation (β = 0.257, 95% confidence interval (CI) 0.177-0.336, P < 0.001), and with higher risk of conversion to Aβ-PET positivity (Hazard ratio (HR) = 2.84, 95% CI 1.14-7.04, P = 0.025) and to MCI due to AD (HR = 3.25, 95% CI 1.17-9.01, P = 0.024). 5 key findings →
Design: longitudinal study Participants: 200 Evidence: moderate
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The Alzheimer's Disease Neuroimaging Initiative (ADNI) beginning in October 2004, is a 6-year research project that studies changes of cognition, function, brain structure and function, and biomarkers in elderly controls, subjects with mild cognitive impairment, and subjects with Alzheimer's disease (AD). 2 key findings →
Evidence: low
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Alzheimer's Disease (AD) currently affects more than 5 million Americans, with numbers expected to grow dramatically as the population ages. 4 key findings →
Evidence: low
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These plasma ceramides may be early indicators of AD progression. 3 key findings →
Design: cross-sectional Participants: 25 Evidence: low
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The choroid plexus (ChP) is a major source of cerebrospinal fluid (CSF) production, with a direct and indirect role in protein clearance, and pathogenesis of Alzheimer's disease (AD). 3 key findings →
Participants: 509 Evidence: low
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Pathological hallmarks of Alzheimer's disease (AD) are deposits of amyloid beta (Aβ) and hyper-phosphorylated tau aggregates in brain plaques. 4 key findings →
Participants: 13 Evidence: low
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Neuropsychiatric symptoms (NPS), commonly concomitant with Alzheimer's disease (AD), substantially impair the quality of life and accelerate disease progression, yet reliable biomarkers for early identification of individuals at high NPS risk remain elusive. 4 key findings →
Design: longitudinal study Participants: 509 Evidence: moderate
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Loss of function of TREM2, a key receptor selectively expressed by microglia in the brain, contributes to the development of Alzheimer's disease (AD). 3 key findings →
Evidence: low
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Low Aβ42 was the strongest predictor of clinical progression in patients with subjective complaints. 3 key findings →
Participants: 127 Evidence: low
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Cognitive decline is one of the most frequent and disabling nonmotor features of Parkinson's disease. 3 key findings →
Design: longitudinal study Evidence: moderate
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CSF synaptic biomarkers, particularly NPTX2, which regulates synaptic homeostasis, relate to cognition and predict progression in AD beyond Aβ1-42 and Tau. 2 key findings →
Evidence: moderate
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Key points • Decreasing CBF relates to more advanced AD stages in all supratentorial regions. • The reduction of CBF does not reach a bottom level. • ASL-CBF has potential as a measure for disease progression in AD. 1 key finding →
Participants: 177 Evidence: moderate
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P-tau217 demonstrated the most significant inter-group differences, the highest hazard ratio, and best distinguished MCI-Converters from MCI-Nonconverters, with its discriminative performance comparable to that of Aβ-PET measures and multi-plasma biomarker models. 5 key findings →
Design: longitudinal study Participants: 47 Evidence: moderate
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In linear mixed models, vascular endothelial growth factor was significantly associated with incident DWI-positive lesions over 1 year. 5 key findings →
Design: cross-sectional Participants: 181 Evidence: moderate
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Here, we review progress by the Penn Biomarker Core in the Alzheimer's Disease Neuroimaging Initiative (ADNI) toward developing a pathological cerebrospinal fluid (CSF) and plasma biomarker signature for mild Alzheimer's disease (AD) as well as a biomarker profile that predicts conversion of mild cognitive impairment (MCI) and/or normal control subjects to AD. 2 key findings →
Evidence: low
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Blood biomarkers of Alzheimer's disease (AD) are promising for dementia prediction, but their association with progression across intermediate stages of cognitive decline in the general population remains unclear. 3 key findings →
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 31,380 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 31,380 records, built mostly from automated pulls of Europe PMC (65.6% of the library) and OpenAlex (16.2%), 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.
1,048 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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