28,580 Alzheimer's and dementia studies in plain English, each scored out of 100.
Patients with Alzheimer's Disease (AD) exhibit decreased retinal blood flow and vessel density (VD). 4 key findings →
Design: case-control study Participants: 16 Evidence: moderate
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White matter hyperintensities (WMHs) are commonly assumed to represent non-specific cerebrovascular disease comorbid to neurodegenerative processes, rather than playing a synergistic role. 4 key findings →
Design: longitudinal study Participants: 571 Evidence: moderate
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-statistics 0.82-0.83). We found a significant association between all-cause dementia and multimarker CSVD scores, which was independent of the FSRP as well as its individual components. 3 key findings →
Design: cohort study Participants: 1,152 Evidence: moderate
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WMHs in the frontoparietal and anterior periventricular region were associated with blood pressure traits, WMH genetic risk score (GRS), baseline and decline in general cognitive performance, incident all-cause dementia, and ischemic stroke. 5 key findings →
Design: longitudinal study Participants: 2,878 Evidence: moderate
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Three survey rounds included 49 to 54 participants that agreed on VasCog-2 diagnostic criteria for preclinical, mild, and major dementia levels of vascular cognitive impairment (under the overarching term VCID). 5 key findings →
Participants: 49 Evidence: low
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MI failed to show an effect on metabolism in FDG-based AD biomarker, but exploratory analysis suggested positive effect on limbic system metabolism. 4 key findings →
Participants: 67 Evidence: high
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Vascular endothelial growth factor was associated with baseline hippocampal volume (t277 = 2.62; P = .009), longitudinal hippocampal atrophy (t858 = 2.48; P = .01), and longitudinal decline in memory (t1629 = 4.09; P Conclusions and relevance Elevated cerebrospinal fluid VEGF was associated with more optimal brain aging in vivo. 4 key findings →
Design: longitudinal study Participants: 90 Evidence: moderate
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We found no statistically significant difference in measures of WM injury by race and ethnicity after adjustment for cardiovascular risk factors and socioeconomic status. 5 key findings →
Design: cross-sectional Participants: 1,036 Evidence: low
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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
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Small vessel disease is a disorder of cerebral microvessels that causes white matter hyperintensities and several other common abnormalities (eg, recent small subcortical infarcts and lacunes) seen on brain imaging. 5 key findings →
Evidence: low
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We evaluated dementia-free Framingham Heart Study (generation 3) participants (mean age 48.5 years, 46.8% men) who underwent cognitive testing for memory, abstract reasoning, visual perception, attention, and executive function (n = 2,231) and brain MRI (n = 2018) to assess total white matter, lobar gray matter, and white matter hyperintensity volumes and fractional anisotropy (FA) measures. 4 key findings →
Participants: 2,231 Evidence: low
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Given the potential therapeutic effect of vascular disease control timing to reduce dementia risk, we investigated the age-related influences of vascular risk factor burden on brain structure throughout the lifespan. 4 key findings →
Design: cross-sectional Participants: 2,887 Evidence: moderate
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The sample included 740 donors (417 female [56.4%]; mean [SD] age at death, 81.5 [10.3] years; mean [SD] VBI score, 0.7 [1.0]; and median life course ADI, 7.08 [IQR, 4.33-9.83]), with residential years spanning 1905 to 2018. 5 key findings →
Design: cohort study Participants: 740 Evidence: moderate
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Per 1-m/s increase in ePWV was associated with an adjusted hazard ratio (HR) (95% confidence interval [CI]) of 1.51(1.30-1.75) for dementia and 1.58(1.33-1.89) for Alzheimer's disease (AD), and with an MMSE score decline (adjusted β-coefficient = -0.36; 95% CI = -0.52 to -0.21). 5 key findings →
Design: longitudinal study Participants: 1,857 Evidence: moderate
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The ARIC study enrolled 15,792 participants (27% Black) aged 45-64 years. 5 key findings →
Participants: 15,792 Evidence: moderate
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Among 4712 participants (59% female; mean age, 74 years), 193 ischemic strokes and 769 dementia cases were ascertained over a median follow-up of 8.3 years. 5 key findings →
Design: cohort study Participants: 4,712 Evidence: moderate
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A total of 42 342 participants from the pooled cohorts were included (mean [SD] age, 61.3 [9.8] years; 55.0% female). 5 key findings →
Design: cohort study Participants: 342 Evidence: moderate
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Plasma NfL level is a valuable noninvasive biomarker that supplements magnetic resonance imaging scans and possibly reflects the severity of CSVD burden. 3 key findings →
Design: cross-sectional Participants: 496 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Arterial stiffness, measured by PWV, is an emerging risk factor for dementia through its repeated relationships with cognition, cSVD, and Aβ deposition. 4 key findings →
Design: cross-sectional Evidence: low
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Environmental enrichment may slow cognitive decay possibly acting through an improvement in vascular function. 2 key findings →
Participants: 55 Evidence: high
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Cerebrovascular disease and vascular risk factors are associated with Alzheimer's disease, but the evidence for their association with other neurodegenerative disorders is limited. 3 key findings →
Evidence: low
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Forty-one women who underwent BSO and 49 control participants were recruited. 3 key findings →
Design: cohort study Evidence: moderate
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The term cerebral small vessel disease (SVD) describes a range of neuroimaging, pathological, and associated clinical features. 1 key finding →
Evidence: low
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Our search resulted in the inclusion and full-text review of 137 articles. 5 key findings →
Design: systematic review Evidence: high
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The prevalence and the degree of cerebral white matter lesions increased with age. 2 key findings →
Participants: 1,077 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 28,580 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 28,580 records, built mostly from automated pulls of Europe PMC (62.2% of the library) and OpenAlex (17.8%), 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 (3.6% 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 →