28,180 Alzheimer's and dementia studies in plain English, each scored out of 100.
Both interventions were highly feasible and acceptable and allowed improvement in different aspects of cognitive and psychosocial functioning in MCI subjects. 4 key findings →
Evidence: high
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A fully automated computational approach included classical statistical methods, support vector machine procedures, and machine learning techniques (random forest and sequential feature selection procedures). 4 key findings →
Design: cross-sectional Participants: 1,794 Evidence: moderate
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The study consists of 25,186 patients (mean age = 63.0, interquartile range [IQR] of age = 15.1 years, male = 50%). 3 key findings →
Design: cohort study Participants: 25,186 Evidence: moderate
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Comparisons of ADNC in typical amnestic versus atypical aphasic dementia and of TDP in type A versus type C revealed fundamental biological and clinical differences, suggesting that members of each pair may constitute distinct clinicopathologic entities despite identical downstream proteinopathies. 1 key finding →
Design: longitudinal study Participants: 68 Evidence: moderate
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To develop a new method for measuring Alzheimer's disease (AD)-specific similarity of cortical atrophy patterns at the individual-level, we employed an individual-level machine learning algorithm. 5 key findings →
Design: longitudinal study Participants: 473 Evidence: moderate
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We evaluated 62 Automated speech analysis demonstrated high accuracy in differentiating FTD subtypes and provided insights into the neural basis of language impairments. 3 key findings →
Design: cross-sectional Participants: 16 Evidence: moderate
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NULISA plasma biomarkers revealed disease-specific protein patterns. 5 key findings →
Design: systematic review Participants: 194 Evidence: high
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Additionally, the performance of each scale to predict dementia pathology both individually and in combination was evaluated using a support vector classifier, which was compared with expert scan assessment to estimate clinical value. 2 key findings →
Participants: 184 Evidence: low
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Although dopamine replacement therapy remains a core component of Parkinson's disease treatment, the onset of motor fluctuations and dyskinetic movements might require a range of medical and surgical approaches from a multidisciplinary team, and important new approaches in the delivery of dopamine replacement are becoming available. 4 key findings →
Evidence: low
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Our results suggest that search strategies that use automated electronic search strategies to extract Charlson comorbidities from the clinical notes contained within the electronic medical record are feasible and reliable. 3 key findings →
Design: cohort study Participants: 1,447 Evidence: moderate
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Gut microbiota composition was associated with amyloid and p-tau status. 5 key findings →
Participants: 170 Evidence: moderate
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Changes in the properties of DTI may be the potential mechanism of WMH-related MCI, especially the right IFOF and the right ILF, which may become imaging markers for predicting WMH-related cognitive dysfunction. 2 key findings →
Design: longitudinal study Participants: 22 Evidence: moderate
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The structure and integrity of the ageing brain is interchangeably linked to physical health, and cardiometabolic risk factors (CMRs) are associated with dementia and other brain disorders. 4 key findings →
Design: cross-sectional Evidence: high
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Our study demonstrates that MRI, a widespread imaging technology, can individually identify bvFTD with high accuracy in multi-center imaging data, paving the road to personalized diagnostic approaches in the future. 2 key findings →
Design: meta-analysis Evidence: high
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We aimed to characterise the brain structure of superagers and identify demographic, lifestyle, and clinical factors associated with this phenotype. 4 key findings →
Design: longitudinal study Participants: 64 Evidence: moderate
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Our results demonstrate that different MAPT mutations give rise to distinct atrophy patterns and clinical phenotype, providing insights into the underlying disease biology and potential utility for patient stratification in therapeutic trials. 3 key findings →
Design: cohort study Evidence: moderate
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Within the training set, individuals closer to or beyond their parent's symptom onset demonstrated reduced grey matter volume and altered functional connectivity, specifically in regions known to be vulnerable in Alzheimer's disease. 5 key findings →
Design: longitudinal study Participants: 138 Evidence: moderate
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Diabetes and even prediabetes are associated with accelerated brain aging, especially among men and people with poor cardiometabolic health. 4 key findings →
Participants: 31,229 Evidence: low
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There is increasing interest in the use of technology to support social health in dementia. 5 key findings →
Design: systematic review Evidence: high
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Having multiple CMBs or concomitant CMBs and retinopathy is associated with a profile of vascular cognitive impairment. 5 key findings →
Design: cross-sectional Participants: 3,906 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The hippocampus is involved at the onset of the neuropathological pathways leading to Alzheimer's disease (AD). 4 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
This simple and feasible cognitive impairment prediction model could identify community-dwelling elderly people at the greatest 3-year risk for cognitive impairment, which could help community nurses in the early identification of dementia. 1 key finding →
Design: prospective cohort Evidence: moderate
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Alzheimer's disease (AD) is a heterogeneous disorder with abnormalities in multiple biological domains. 5 key findings →
Participants: 1,863 Evidence: low
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The systematic literature review supported the argument that language and speech could successfully be used to detect dementia automatically. 2 key findings →
Evidence: low
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Digital RT proved an innovative approach to manage PWD and will thus help PWD achieve a better mood and have more opportunities to engage in social interactions. 3 key findings →
Participants: 25 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.
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 28,180 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 28,180 records, built mostly from automated pulls of Europe PMC (61.7% of the library) and OpenAlex (18.1%), 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 →