27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
These findings extend the evidence base for multidomain lifestyle interventions to populations historically under-represented in dementia research, supporting their feasibility and scalability as strategies to reduce cognitive decline risk amid the rapidly growing burden of dementia in low-income and middle-income countries. 3 key findings →
Design: RCT Participants: 1,065 Evidence: moderate
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12,887 participants were interviewed at baseline. 11,718 were free of dementia, of whom 8137 (69%) were reinterviewed, contributing 34,718 person-years of follow-up. 3 key findings →
Design: cohort study Participants: 12,887 Evidence: moderate
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Variation in service use among sites was most plausibly accounted for by stark differences in the extent of out-of-pocket expenses, and the ability of older people and their families to afford them. 3 key findings →
Design: meta-analysis Participants: 17,944 Evidence: high
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Brain clocks, which quantify discrepancies between brain age and chronological age, hold promise for understanding brain health and disease. 4 key findings →
Participants: 5,306 Evidence: low
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The primary outcome was difference in the change in Neuropsychiatric Inventory apathy scores for oxytocin versus placebo periods in the per-protocol population after 6 weeks of treatment. 2 key findings →
Design: phase-2-trial Participants: 94 Evidence: early
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When zero inflation was taken into account, between-site differences in disability scores were largely attributable to compositional differences in health and sociodemographic characteristics. 5 key findings →
Design: cross-sectional Participants: 15 Evidence: low
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The 10/66 DRG baseline population-based studies are nearly complete. 5 key findings →
Design: randomized controlled trial Evidence: high
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The prevalence of DSM-IV dementia varied widely, from 0.3% (95% CI 0.1-0.5) in rural India to 6.3% (5.0-7.7) in Cuba. 2 key findings →
Design: cross-sectional Participants: 14 Evidence: low
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We aimed to inform planning by assessing intrinsic capacity prevalence, by characterising the target group, and by validating the general approach-testing hypotheses that DIC was consistently associated with higher risks of incident dependence and death. 4 key findings →
Design: cohort study Participants: 17,031 Evidence: moderate
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An algorithm-derived diagnosis of aMCI showed few sociodemographic associations but was consistently associated with higher disability and neuropsychiatric symptoms in addition to showing substantial variation in prevalence across LAMIC populations. 4 key findings →
Design: cross-sectional Participants: 15,376 Evidence: moderate
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We found no evidence to support the theory that natural variation in cumulative exposure to endogenous oestrogens across the reproductive period influences dementia incidence in late life. 4 key findings →
Design: meta-analysis Evidence: high
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The demographic and health transitions will lead to large and rapid increases in the numbers of dependent older people particularly in middle income countries (MIC). 2 key findings →
Design: meta-analysis 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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Reducing the risk of dementia can halt the worldwide increase of affected people. 1 key finding →
Evidence: low
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The results underscore the impact of education on brain structure and function in LA, highlighting the importance of incorporating educational factors into diagnosing, care, and prevention, and emphasizing the need for global diversity in research. 5 key findings →
Participants: 1,412 Evidence: low
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A multidimensional social exposome (MSE)-the combined lifespan measures of education, food insecurity, financial status, access to healthcare, childhood experiences, and more-may shape dementia risk and brain health over the lifespan, particularly in underserved regions like Latin America. 1 key finding →
Participants: 2,211 Evidence: low
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Measures are needed that identify persons that will develop Alzheimer's disease in order to target them for preventative interventions. 4 key findings →
Design: cross-sectional Participants: 20 Evidence: low
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The prevalence of stroke in urban LA and Chinese sites is nearly as high as in industrialised countries. 1 key finding →
Design: cross-sectional Participants: 15 Evidence: low
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This study robustly characterized the prevalence of sleep complaints in large samples of the elderly in LAMICs and identified potential risk factors that may be specific to these populations. 3 key findings →
Design: meta-analysis Evidence: high
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Across Latin American and Caribbean countries (LACs), the fight against dementia faces pressing challenges, such as heterogeneity, diversity, political instability, and socioeconomic disparities. 5 key findings →
Evidence: low
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However, most people with dementia live in low-income and middle-income countries (LMICs), where dementia risk prediction research is almost non-existent and the ability of current models to predict dementia is unknown. 4 key findings →
Participants: 143 Evidence: low
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The prevalence of dementia in Latin America and the Caribbean is growing rapidly, increasing the burden placed on caregivers. 5 key findings →
Evidence: low
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We recruited 1501 participants (304 with FTLD, 512 with AD, and 685 healthy controls) from the Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat). 5 key findings →
Participants: 1,501 Evidence: low
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Hypertension prevalence was higher in urban (range 52.6-79.8%) than rural sites (range 42.6-56.9%), and lower in men than women [pooled prevalence ratio 0.89, 95% confidence interval (CI) 0.85-0.93]. 3 key findings →
Design: cross-sectional Participants: 14 Evidence: low
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The Dominantly Inherited Alzheimer Network Observational Study (DIAN Obs) is a longitudinal, global cohort study investigating brain aging and autosomal dominant Alzheimer’s disease (ADAD), a rare monogenic form of Alzheimer’s disease (AD). 5 key findings →
Design: cohort 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. 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 →