27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
One hundred ninety-eight of 229 participants had WMH volumes available at both time-points. 5 key findings →
Design: longitudinal study Participants: 229 Evidence: moderate
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MarkVCID2 enrolled 1883 individuals age 73.4 ± 7.5 years, 65.0% female, 24.2% Hispanic, and 27.1% non-Hispanic Black. 5 key findings →
Design: longitudinal study Participants: 1,883 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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We included 147,986 participants (Chinese [n = 6,034], Filipino [n = 4,649], Japanese [n = 3,099], South Asian [n = 996], non-Latino White [n = 133,208]); the mean baseline age ranged from 69 to 72 years, and the percentage of female participants ranged from 40% to 63% across groups. 5 key findings →
Design: cohort study Participants: 6,034 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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After propensity score matching, each group consisted of 15901 patients. 5 key findings →
Design: cohort study Participants: 15,901 Evidence: high
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We identified 1143 dementia-free individuals with acute stroke during follow-up: 1061 (92.8%) ischemic, 82 (7.2%) hemorrhagic, 49.9% female, and 30.8% Black. 5 key findings →
Design: cohort study Evidence: moderate
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). Moreover, 12 proteins related to endothelial function and inflammation were associated with neuroimaging features of SVD. 4 key findings →
Design: cross-sectional Participants: 35 Evidence: moderate
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Of the total, 908 (37.0%) participants had cSVD on MRI reading at baseline. 5 key findings →
Design: cohort study Participants: 2,454 Evidence: moderate
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We recruited 210 participants; 205 (66.8% male; aged 66.4±11.1 years) had useable data. 5 key findings →
Design: longitudinal study Participants: 210 Evidence: moderate
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Participants' median age was 70.7 years (Q1-Q3 = 67.8-74.0), with 52.4% being women. 5 key findings →
Design: cross-sectional Participants: 678 Evidence: moderate
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In ARIC (n = 1,736, mean age 63, 58.8% female, 48.7% non-Hispanic White individuals, median follow-up 18.6 years), the dementia incidence rate was 10.4 (95% CI, 9.2-11.6) per 1,000 person-years. 5 key findings →
Design: cohort study Participants: 1,736 Evidence: moderate
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Cerebral small vessel disease (SVD) is recognized as a major vascular contributor to cognitive decline, ultimately leading to dementia and stroke. 1 key finding →
Design: longitudinal study Evidence: moderate
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Sensitivity analyses were performed to validate the robustness of the linear regression results. 4 key findings →
Design: longitudinal study Participants: 832 Evidence: moderate
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Among 2,335 participants (mean age 52.3 ± 11.2 years; 56.6% women), CVD risk trajectories over 10 years were classified as accelerated increase (29.2%), moderate increase (30.9%), or stable (39.9%). 5 key findings →
Design: cohort study Participants: 2,335 Evidence: moderate
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Of 104 metabolites studied, glycodeoxycholic acid (GDCA) surpassed the false discovery rate and was associated the Alzheimer's Disease Assessment Scale-Cognitive Subscale version 13 (ADAS-Cog13) score (β = 0.12, 95 % CI = 0.05-0.20, p = 0.001) and cognitive impairment determined by mini-mental status exam (MMSE) (OR = 2.11, 95 % CI = 1.41-3.15, p < 0.001). 4 key findings →
Design: cross-sectional Participants: 578 Evidence: moderate
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In this multi-cohort study of older adults without cognitive impairment, we show that WMH and lacunes independently predict increased risk of MCR, after adjusting for key confounders. 5 key findings →
Design: cohort study Participants: 1,772 Evidence: moderate
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SES and LA were associated with better cognitive performance at baseline, but were not associated with cognitive decline over time. 5 key findings →
Design: longitudinal study Participants: 181 Evidence: moderate
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In the Research Article "Magnitude and Time-Course of Dementia Risk in Stroke Survivors: A Population-Wide Matched Cohort Study" by Joundi et al., 1 the keys for Figure 3, A-D should indicate red for "Stroke," "Ischemic Stroke," "ICH," and "Stroke," respectively. 2 key findings →
Design: cohort study Evidence: moderate
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The etiology of cerebrovascular pathology is heterogeneous. 3 key findings →
Participants: 29 Evidence: low
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The final model, which included age, systolic blood pressure >140, atrial fibrillation, and tobacco use, achieved an AUC of 0.83 (95% CI 0.75-0.90) in the development cohort (N=143, 62.4±12.6 years, 44% female, 36% non-white race) and 0.85 (95% CI 0.77-0.92) in the validation cohort (N=127, 65.2±16.8 years, 51% female, 34% non-white race), with similar results using WMH measurements derived from cMRI (N=120, p=0.98, AUC=0.86, 95% CI 0.77-0.93). 5 key findings →
Participants: 143 Evidence: moderate
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Cohort 1 included 446 individuals (mean age (SD) 65.2 years (8.9); 203 women), Cohort 2 included 164 individuals (mean age (SD) 49.9 years (12.6); 88 women). 5 key findings →
Design: longitudinal study Participants: 446 Evidence: moderate
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In SPRINT, the overall interaction between age and SBP on WMHv change was not statistically significant ( P =0.18). 5 key findings →
Design: longitudinal study Participants: 172 Evidence: moderate
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Among 2935 patients (50.4% women; mean age=72.2 years; 19.8% subjective cognitive impairment, 39.8% mild cognitive impairment, and 40.4% dementia), larger WMH volume within projection fibres (B=0.24, SE=0.10, p=0.013) was associated with greater apathy. 5 key findings →
Participants: 2,935 Evidence: low
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Cerebral small vessel disease (cSVD) is a leading cause of stroke and dementia with no specific treatment, of which molecular mechanisms remain poorly understood. 2 key findings →
Participants: 40,000 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. 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 →