27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Large pre-trained models, also known as foundation models (FMs), are trained in a task-agnostic manner on large-scale data and can be adapted to a wide range of downstream tasks by fine-tuning, few-shot, or even zero-shot learning. 2 key findings →
Evidence: low
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The national prevalence of stunting was 36.81% (95% CI, 35.48%-38.15%), with significant spatial variations across Ethiopia. 5 key findings →
Participants: 5,753 Evidence: low
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A higher degree of neighborhood disadvantage may contribute to the excess risk of MCI or dementia found among AA. 5 key findings →
Design: cohort study Participants: 2,733 Evidence: moderate
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A comprehensive outcome monitoring system to monitor the quality and safety of care and variation for HCP recipients was developed. 1 key finding →
Design: cross-sectional Participants: 68 Evidence: low
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Alzheimer's disease (AD) diagnosis relies on cerebrospinal fluid (CSF) biomarkers or amyloid PET. 1 key finding →
Participants: 134 Evidence: low
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Lecanemab reduced amyloid PET in symptomatic participants with DIAD at Week 24. 3 key findings →
Participants: 97 Evidence: high
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Clinical trials of anti-amyloid-β (Aβ) monoclonal antibodies in Alzheimer disease (AD) infer target engagement from Aβ positron emission tomography (PET) and/or fluid biomarkers such as cerebrospinal fluid (CSF) Aβ42/40. 2 key findings →
Evidence: moderate
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The study included 807 participants form K-ROAD (median age: 72.0 years, 58.7% female) and 230 from ADNI (median age: 70.9 years, 49.1% female). 5 key findings →
Design: cohort study Participants: 807 Evidence: moderate
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Our findings demonstrate the capability of a fingerstick collection to accurately quantify p ‐tau217 levels longitudinally and genotype ApoE. 5 key findings →
Design: longitudinal study Participants: 58 Evidence: moderate
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Older age was associated with greater odds of abnormal p-Tau217 (odds ratio [OR] 1.08 per year, 95% CI 1.07–1.09), as was APOE ε4 carrier status (OR 3.32, 95% CI 2.65–4.17). 5 key findings →
Design: cross-sectional Participants: 2,798 Evidence: moderate
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Polygenic risk scores (PRSs) predict an individual's genetic risk for complex diseases, yet their utility in elucidating disease biology remains limited. 1 key finding →
Evidence: low
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Stroke interacts with APOE ε4 to influence dementia, with the association being more pronounced in APOE ε4 non‐carriers. 4 key findings →
Design: cohort study Participants: 336 Evidence: moderate
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The relationship between hearing impairment and dementia has attracted significant attention, the 2024 Lancet Commission report identifying hearing loss as the largest modifiable risk factor for dementia from mid-life. 2 key findings →
Evidence: low
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Breast cancer is the most common malignancy among women globally, with incidence rates continuing to rise. 1 key finding →
Evidence: low
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In recent decades, an increasing body of research has highlighted significant scientific evidence linking adherence to the Mediterranean diet with a reduced risk of chronic diseases. 1 key finding →
Evidence: low
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• Limited evidence links air pollution-lifestyle interplay to cardiovascular disease. • Study includes over 5.8 million participants from arid Northwestern China. • Air pollution in dust-prone areas is linked to cardiovascular disease. • Exercise is crucial in reducing the risk of cardiovascular disease from air pollution. • Air pollution and unhealthy lifestyles jointly heighten cardiovascular risk. 4 key findings →
Evidence: low
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The 12 risk factors account for 60.3% of dementia cases in China, including 14.0% in early life, 8.8% in midlife, and 37.5% in later life. 5 key findings →
Design: longitudinal study Evidence: moderate
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Childhood obesity is a growing global health concern, with established links to physical activity, nutrition, and, increasingly, to prenatal and perinatal factors. 1 key finding →
Design: narrative review Evidence: low
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The highest annual increase in age-standardized incidence was observed among women aged 40-49 who were overweight (AAPC 4.0%, 95% CI 0.5-7.7%), currently smoking (AAPC 3.3%, 95% CI 0.1-6.6%) or moderately physically active (AAPC 2.9%, 95% CI 0.3-5.6%). 3 key findings →
Evidence: moderate
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Despite recent advances in the treatment of obesity, lifestyle medicine remains foundational to the treatment of individuals with obesity, regardless of the modality chosen by the patient with the guidance of the clinician they are working with, including in conjunction with, as appropriate, anti-obesity medications and metabolic surgery. 5 key findings →
Evidence: low
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Female gender, older age, and lower levels of education were associated with poorer overall test scores. 3 key findings →
Design: cross-sectional Participants: 395 Evidence: low
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Vision impairment is common among older adults and affects dementia screening assessments, which include visually presented items. 5 key findings →
Participants: 86 Evidence: low
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Early detection of cognitive decline in older adults is essential for implementing timely interventions. 4 key findings →
Design: cross-sectional Participants: 90 Evidence: low
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Our findings support speech-based cognitive assessments as a promising avenue towards remote MCI screening, with implications for scalable screening in clinical trials and healthcare. 3 key findings →
Participants: 110 Evidence: low
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With the top 20 acoustic features, our framework achieved classification accuracies of 62.2% (EER: 0.3335) on the FHS dataset for NC, MCI, and DE differentiation, and 63.7% (EER: 0.1796) on the DBD dataset for NC and MCI differentiation, using obfuscated speech files. 5 key findings →
Participants: 128 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 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 →