27,780 Alzheimer's and dementia studies in plain English, each scored out of 100.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that significantly impacts cognitive function, posing a major global health challenge. 1 key finding →
Evidence: low
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A total of 13,659 articles were obtained in this study. 5 key findings →
Participants: 13,659 Evidence: low
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The early and accurate diagnosis of Alzheimer's Disease and Frontotemporal Dementia remains a critical challenge, particularly with traditional machine learning models which often fail to provide transparency in their predictions, reducing user confidence and treatment effectiveness. 5 key findings →
Evidence: low
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SIs on the LASSI-L related to PSI and frPSI uniquely differentiated Amy+ and Amy- participants with aMCI and likely reflect deficits with inhibition and source memory in preclinical AD not captured by traditional cognitive measures. 2 key findings →
Evidence: low
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Pattern expression strengths predicted amyloid status with a sensitivity of 0.94 and a specificity of 0.83. 5 key findings →
Participants: 35 Evidence: low
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On achieving conformance, sites can justify a claim that brain amyloid burden reflected by the SUVR is measurable to a within-subject coefficient of variation of no more than 1.94% when the same radiopharmaceutical, scanner, acquisition, and analysis protocols are used. 2 key findings →
Evidence: low
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Compared with non-PVE-corrected data, PVE-corrected data yielded significantly higher changes in regional and composite SUV ratio (SUVR) over time ( P = 0.0002 for composite SUVRs). 4 key findings →
Design: longitudinal study Evidence: moderate
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(18)F-THK5351 is a useful PET tracer for the early detection of neurofibrillary pathology in AD patients. 3 key findings →
Evidence: low
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Twenty-one patients showed FDG hypometabolism; the remaining 3 did not. 1 key finding →
Participants: 24 Evidence: low
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Subtle and spatially complex deformation patterns of hippocampus between patients with AD and healthy control subjects can be detected by machine learning methods. 2 key findings →
Participants: 19 Evidence: low
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Cortical thickness from MRI helped predict conversion from mild cognitive impairment to dementia in Parkinson disease at an individual level, with improved performance when integrated with clinical variables. © RSNA, 2021 Online supplemental material is available for this article. 2 key findings →
Participants: 75 Evidence: low
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The experimental results demonstrate that the SVM with RBF achieved an encouraging performance with sensitivity (SEN), specificity (SPE), and accuracy (ACC) values of 82.65%, 87.17%, and 84.35%, respectively (AUC = 0.861, 95% CI = 0.820-0.902), for the differential diagnosis between VaD and AD. 2 key findings →
Participants: 93 Evidence: low
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Amyloid imaging represents a major advance in neuroscience, enabling the detection and quantification of pathologic protein aggregations in the brain. 5 key findings →
Evidence: low
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It has become increasingly evident that neuroinflammation plays a critical role in the pathophysiology of Alzheimer's disease (AD) and other neurodegenerative disorders. 4 key findings →
Evidence: low
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Brain structure in later life reflects both influences of intrinsic aging and those of lifestyle, environment and disease. 4 key findings →
Evidence: low
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Neuropsychiatric symptoms are prevalent in mild cognitive impairment (MCI) and Alzheimer disease (AD) and commonly measured using the Neuropsychiatric Inventory (NPI). 4 key findings →
Design: cross-sectional Evidence: low
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Of the 944 clinical cases, 13.0% were characterized as probable LATE (2.4% pure LATE and 10.6% LATE+AD) and 23.7% were characterized as probable AD without LATE. 5 key findings →
Participants: 944 Evidence: low
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EXT showed high cross-sectional reliability and longitudinal stability. 5 key findings →
Design: cross-sectional Evidence: moderate
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Four cognitive phenotypes emerged. One phenotype (18% of Aβ+ participants) showed the steepest cognitive decline, highest progression on the CDR, greater baseline medial temporal tau, and fastest neocortical tau accumulation over 4.6 years (hazard ratio [HR] for decline ≈ 2.9). 3 key findings →
Design: longitudinal study Evidence: moderate
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Our findings suggest that disease progression follows a stage-dependent MVD pattern that can identify at-risk regions. 5 key findings →
Participants: 403 Evidence: low
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This paper introduces a novel convolutional neural network model with an attention mechanism to advance Alzheimer disease (AD) classification using Magnetic Resonance Imaging (MRI). 4 key findings →
Evidence: low
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Traditional diagnostic methods for Alzheimer's disease often suffer from low accuracy and lengthy processing times, delaying crucial interventions and patient care. 2 key findings →
Evidence: low
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Among 1616 participants (AD = 1498, bvFTD = 118), all algorithms achieved high accuracy (80% to 90%) and discriminatory ability (AUC = 0.89 to 0.95). 5 key findings →
Participants: 1,616 Evidence: low
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Significant alterations were observed in 7 lipid classes and 65 specific lipid species in DLB compared to AD. 5 key findings →
Design: cross-sectional Evidence: moderate
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Alzheimer’s disease (AD) presents a significant global health challenge, necessitating accurate and early prediction methods for effective intervention and treatment planning. 3 key findings →
Design: longitudinal study 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.
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 27,780 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 27,780 records, built mostly from automated pulls of Europe PMC (61.1% of the library) and OpenAlex (18.3%), 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 (3.7% 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 →