27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Study-level data from 14 studies, 2,310,330 individuals, and 102,174 dementia case patients were included. 3 key findings →
Design: meta-analysis Participants: 2,310,330 Evidence: high
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The Alzheimer Disease Genetics Consortium (ADGC) performed a genome-wide association study of late-onset Alzheimer disease using a three-stage design consisting of a discovery stage (stage 1) and two replication stages (stages 2 and 3). 1 key finding →
Design: meta-analysis Evidence: high
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The incidence rate of dementia in Europe and North America has declined by 13% per decade over the past 25 years, consistently across studies. 2 key findings →
Design: cohort study Participants: 49,202 Evidence: moderate
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The 172 total participants had a mean (SD) age of 75.7 (4.8) years, and 108 (62.8%) were women. 4 key findings →
Participants: 172 Evidence: high
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Clonal hematopoiesis of indeterminate potential (CHIP) is a premalignant expansion of mutated hematopoietic stem cells. 5 key findings →
Design: meta-analysis Participants: 1,362 Evidence: high
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APOE ɛ4, the most significant genetic risk factor for Alzheimer disease (AD), may mask effects of other loci. 5 key findings →
Design: meta-analysis Participants: 4,203 Evidence: high
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In addition, several loci associated with rare variants, including a genome-wide significant intergenic locus near IGF1R at 15q26 (P = 1.7 × 10-9) and 6 additional loci with suggestive significance (P ≤ 5 × 10-7) such as API5 at 11p12 (P = 8.8 × 10-8) and RBFOX1 at 16p13 (P = 5.4 × 10-7) were identified. 4 key findings →
Design: meta-analysis Participants: 2,784 Evidence: high
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The most common anticholinergic classes used were tricyclic antidepressants, first-generation antihistamines, and bladder antimuscarinics. 4 key findings →
Design: cohort study Participants: 3,434 Evidence: moderate
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This large GWAS of WMH burden in community-based cohorts of individuals of European descent identifies a novel locus on chromosome 17. 5 key findings →
Design: meta-analysis Participants: 3,024 Evidence: high
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Hippocampal sclerosis of aging (HS-Aging) is a high-morbidity brain disease in the elderly but risk factors are largely unknown. 4 key findings →
Design: meta-analysis Participants: 624 Evidence: high
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After correcting for multiple comparisons using the Bonferroni procedure, we observed a statistically significant interaction between APOE-ε4 and sex on CSF total tau (β = 0.41; 95% CI, 0.27-0.55; P Conclusions and relevance We provide robust evidence of a stronger association between APOE-ε4 and CSF tau levels among women compared with men across multiple independent data sets. 5 key findings →
Design: cohort study Participants: 1,798 Evidence: moderate
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The APOE-ε4 allele has long been associated with increased risks of Alzheimer's disease and mortality, but the effect of the less prevalent APOE-ε2 allele on diseases in the elderly and survival remains elusive. 4 key findings →
Design: cohort study Participants: 38,537 Evidence: moderate
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White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. 1 key finding →
Evidence: moderate
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Pooled clinical and neuropathologic data from 3 prospective cohort studies indicate that TBI with LOC is associated with risk for Lewy body accumulation, progression of parkinsonism, and PD, but not dementia, AD, neuritic plaques, or neurofibrillary tangles. 5 key findings →
Design: cohort study Participants: 7,130 Evidence: moderate
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Among 2766 participants (mean [SD] age, 69.9 [3.8] years; 486 [17.9%] Black, 196 [7.1%] Hispanic, and 2007 [73.9%] White), 1311 developed the combined end point of MCI or dementia (849 participants with MCI and 752 participants with dementia). 5 key findings →
Design: cohort Participants: 2,766 Evidence: moderate
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We identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms. 2 key findings →
Design: meta-analysis Participants: 17 Evidence: high
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The eMERGE (electronic MEdical Records and GEnomics) Network is an NHGRI-supported consortium of five institutions to explore the utility of DNA repositories coupled to Electronic Medical Record (EMR) systems for advancing discovery in genome science. eMERGE also includes a special emphasis on the ethical, legal and social issues related to these endeavors. 2 key findings →
Design: meta-analysis Evidence: high
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Two regions achieved genome-wide significance with TDP-43: apolipoprotein E (APOE) and TMEM106B. Three loci reached genome-wide significance with HS: APOE, TMEM106B, and granulin precursor (GRN). 5 key findings →
Design: meta-analysis Participants: 9,509 Evidence: high
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Our results suggest that higher glucose levels may be a risk factor for dementia, even among persons without diabetes. 4 key findings →
Participants: 839 Evidence: moderate
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Evidence: low
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Researchers conducted a large, two-stage meta-analysis of genome-wide association studies in individuals of European ancestry.
Evidence: low
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Alzheimer's disease (AD) is the leading cause of dementia in older adults. 2 key findings →
Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Evidence: low
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Alzheimer's disease (AD) and related dementias are a major public health challenge and present a therapeutic imperative for which we need additional insight into molecular pathogenesis. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The sample included 47 100 Medicare beneficiaries (25 900 women [54.9%]; mean [SD] age, 72.2 [11.4] years). 5 key findings →
Design: cohort study Participants: 47 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 →