27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Among the 18,013 participants with complete data for analysis, 516 (2.86%) exhibited cognitive impairment. 5 key findings →
Design: longitudinal study Participants: 27,768 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Seven studies were included from 1,800 screened. 5 key findings →
Design: meta-analysis Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
PWAbS revealed elevated gross autoantibody levels in AD and DLB patients compared to CNIs. 5 key findings →
Design: longitudinal study Participants: 35 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Our findings indicate that using location-based trajectory metrics with clinical measures significantly improves the predictability of motor agitation beyond individual baselines. 5 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Model scores two standard deviations below the mean had 4 months increased survival (two standard deviations below had 3 months decreased survival). 5 key findings →
Participants: 802 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Dementia, particularly Alzheimer's disease (AD), presents a growing global health challenge characterized by cognitive decline, behavioral changes, and loss of independence. 1 key finding →
Participants: 2,878 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
The progressive nature of dementia necessitates early detection strategies capable of identifying preclinical cognitive decline. 1 key finding →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
This study developed machine learning models to predict Aβ positivity in Alzheimer’s disease by integrating early-phase 18 F-Florbetaben PET and clinical data to improve diagnostic accuracy. 2 key findings →
Participants: 176 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
We identified 471 proteins with significant interaction effects between T2D and dementia risk. 5 key findings →
Participants: 2,920 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
We observed that existing AI-assisted dietary assessment tools are integrated with mobile/web-based applications to provide a user-friendly interface. 5 key findings →
Participants: 17,613 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Dementia rates are projected to increase significantly by 2050, posing considerable challenges for healthcare systems worldwide. 3 key findings →
Participants: 144 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Early identification of individuals at increased risk of mild cognitive impairment (MCI), a pre-dementia state, can provide a critical window for prompt intervention to prevent or reverse disease progression. 5 key findings →
Design: longitudinal study Participants: 87 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
All groups showed significantly increased brain-PAD, and the median (IQR) brain-PAD was 4.3 (5.4) years in MCI, 6.3 (6.2) years in AD, and 5.0 (6.5) years in DLB. 4 key findings →
Design: cross-sectional Participants: 185 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Measures of cognition were especially important predictive features of clinical diagnosis. 5 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
The ten top-funded companies offering DDLS received a total funding of EUR 128.52 million, of which three companies collected more than 75%. 4 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
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
Full summary, score breakdown and related studies → Original source Free full text
Lewy body dementia is the second most common form of neurodegenerative dementia, following Alzheimer's disease. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The findings of this study suggest that predictive modeling could inform patients and clinicians about ASCVD at risk for dementia. 3 key findings →
Participants: 29,561 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Predictive performance was comparable across algorithms, with R² ranging from 0.201 to 0.361, highest in the MCI_All dataset. 5 key findings →
Design: longitudinal study Participants: 4,958 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Metabolomics has been associated with cognitive decline and dementia, but the relationship between metabolites and brain aging remains unclear. 4 key findings →
Participants: 17,770 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
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
Full summary, score breakdown and related studies → Original source Free full text
Artificial intelligence (AI) is revolutionizing the field of medical imaging, offering unprecedented capabilities in data analysis, image interpretation, and decision support. 2 key findings →
Participants: 41 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
This paper proposes a novel LLM-aided feature engineering approach that enhances interpretability by extracting clinically relevant features from the Oxford Textbook of Medicine. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Representations of White-racialized older adults were 5-fold higher than those of other races in both years. 5 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
MCI prevalence was comparable across groups (7.5%-8.0%), but progression to dementia varied (9.4% Black vs. 11.4% Other). 5 key findings →
Participants: 83,180 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 27,380 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 27,380 records, built mostly from automated pulls of Europe PMC (60.6% of the library) and OpenAlex (18.6%), 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.
1,032 records (3.8% 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 →