Within each tracer, GMM-derived amyloid negative (A-) CL distributions were similar across cohorts. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
28,580 Alzheimer's and dementia studies in plain English, each scored out of 100.
Within each tracer, GMM-derived amyloid negative (A-) CL distributions were similar across cohorts. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
AD mice showed early decreases in NVC and bilateral connectivity (BC) in motor and cingulate cortex, and hypoconnectivity within the sensory-motor network. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
BackgroundThe clinical significance of enlarged perivascular spaces (EPVS) in Alzheimer' s disease (AD) was ambiguous. 2 key findings →
Participants: 64 Evidence: low
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The CSF and plasma cohorts were on average 71.4(±8.5) and 72.2 (±9.3) years of age, 49.1%/50.8% was female, and 263/453 (0.59%/51.8%) were cognitively impaired, respectively. 4 key findings →
Participants: 97 Evidence: low
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Progressive cortical thinning in multiple cognition-related regions was significantly associated with cBF atrophy. 5 key findings →
Design: longitudinal study Evidence: moderate
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DTI revealed significant differences in white matter diffusivity between CCD and cognitively healthy aged dogs. 5 key findings →
Participants: 20 Evidence: low
Full summary, score breakdown and related studies → Original source
The high metabolic demand of retinal neurons requires tightly regulated mechanisms to maintain homeostasis and ensure the efficient clearance of metabolic waste and excess water. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
In this paper, we propose a deep super-resolution generative adversarial network (DSR-GAN) combined with a convolutional neural network (CNN) model designed to classify four stages of Alzheimer's disease (AD): Mild Dementia (MD), Moderate Dementia (MOD), Non-Demented (ND), and Very Mild Dementia (VMD). 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
weighted MRI can assess macro-structural brain atrophy, diffusion tensor imaging (DTI) unveils these hidden microstructural alterations. 2 key findings →
Participants: 35 Evidence: low
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Alzheimer disease and its clinical variants have characteristic spatial and temporal progression patterns of amyloid and tau driving symptomatology, but the distribution of microglia density, as measured by 18kDa translocator protein (TSPO) PET, is unknown. 5 key findings →
Design: longitudinal study Evidence: moderate
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Alzheimers disease (AD) represents the most prevalent form of dementia, affecting millions worldwide and posing significant public health challenges. 2 key findings →
Design: systematic review Evidence: high
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Cognitive decline is a condition affecting almost one sixth of the elder population and is widely regarded as one of the first manifestations of Alzheimer's disease. 2 key findings →
Participants: 145 Evidence: moderate
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The heterogeneity inherent in tau positron emission tomography (PET) imaging data across different tracers challenges the integration of multi-site tau PET data, thereby necessitating the trustful harmonization technique for a better utilization of the emerging large-scale datasets. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
The density of brain amyloid-beta neuritic plaque accumulation, a marker of Alzheimer's disease (AD), can be visualized and quantified using amyloid-positron emission tomography (PET). 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
The default mode network (DMN) is intricately linked with processes such as self-referential thinking, episodic memory recall, goal-directed cognition, self-projection, and theory of mind. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Alzheimer’s disease is the fifth-leading cause of death for adults over the age of 65. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
The subdivisions exhibit different pathways, terminations, and structural characteristics. 5 key findings →
Evidence: low
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Aβ + CN individuals performed worse than Aβ-CN participants in the SCBC while the SOC only distinguished Aβ − CN from MCI participants. 4 key findings →
Evidence: low
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= 0.022). Our approach captured the complex morphological alterations of the ChP in AD. 3 key findings →
Evidence: low
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Average age of participants was 66 (21-88) years. 25 were biologically female and 15 were amyloid positive. 5 key findings →
Participants: 42 Evidence: low
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In both cohorts there were significant associations between CSF MTBR-tau243 and the temporal meta-ROI (BioFINDER-2: t = 17.1, p < 0.001, Knight-ADRC: t=11.0, p <0.001). 5 key findings →
Design: cross-sectional Evidence: moderate
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The model achieves accuracy rates of 94% on the brain tumor dataset, 81% on the augmented Alzheimer dataset, and 93% on the third dataset, underscoring its capability to differentiate various neurological conditions. 3 key findings →
Evidence: low
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The Neural Network classifier achieved an accuracy of 91% with a 95% CI ranging from 0.79-0.97 and an AUC of 94%, on the test set after identifying the most significant features for AD prediction. 5 key findings →
Participants: 174 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Average age of participants was 66 (21-88) years. 25 were biologically female and 15 were amyloid positive. 5 key findings →
Participants: 42 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Alzheimer’s disease (AD) is a neurodegenerative disorder that affects millions of people worldwide. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
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 28,580 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 28,580 records, built mostly from automated pulls of Europe PMC (62.2% of the library) and OpenAlex (17.8%), 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.
1,034 records (3.6% 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 →