28,180 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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In analyses that addressed bias due to reverse causation, physical inactivity was not associated with all-cause dementia or Alzheimer's disease, although an indication of excess dementia risk was observed in a subgroup of physically inactive individuals who developed cardiometabolic disease. 2 key findings →
Design: meta-analysis Participants: 404 Evidence: high
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Among older adults without cognitive impairment or dementia, both an unfavorable lifestyle and high genetic risk were significantly associated with higher dementia risk. 5 key findings →
Design: cohort study Participants: 383 Evidence: moderate
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Among 10 095 participants (67.3% men; aged 35-55 years in 1985-1988), a total of 1710 cases of diabetes and 639 cases of dementia were recorded over a median follow-up of 31.7 years. 3 key findings →
Design: cohort study Participants: 95 Evidence: moderate
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The overall weighted PAF for potentially modifiable risk factors for dementia was 39·5% (95% CI 37·5-41·6) in China (n=2162 participants), 41·2% (39·1-43·4) in India (n=2004), and 55·8% (54·9-56·7) in our Latin American sample (n=12 865). 2 key findings →
Design: meta-analysis Participants: 2,162 Evidence: high
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Of 157 participants initially assessed, 137 were enrolled in the Age-Well clinical trial, and 127 were analyzed in this study. 5 key findings →
Design: cross-sectional Participants: 157 Evidence: high
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During 1 110 831 person-years at risk, we recorded 245 573 hospitalisations in the Finnish cohorts; the corresponding numbers in the UK study were 60 946 hospitalisations in 186 572 person-years. 4 key findings →
Design: cohort study Participants: 9,838 Evidence: moderate
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The association between BMI and dementia is likely to be attributable to two different processes: a harmful effect of higher BMI, which is observable in long follow-up, and a reverse-causation effect that makes a higher BMI to appear protective when the follow-up is short. 1 key finding →
Design: cohort study Participants: 6,894 Evidence: moderate
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This study found no evidence of a neuroprotective effect of physical activity. 4 key findings →
Design: cohort study Participants: 329 Evidence: moderate
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Midlife and late-life risk factors contributed to 22.7% and 16.5% of total dementia cases, respectively. 5 key findings →
Design: meta-analysis Participants: 37,931 Evidence: high
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Adherence to the Life Simple 7 ideal cardiovascular health recommendations in midlife was associated with a lower risk of dementia later in life. 4 key findings →
Design: cohort study Participants: 7,899 Evidence: moderate
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More frequent social contact at age 60 years was associated with lower dementia risk (hazard ratio [HR] for each SD higher social contact frequency = 0.88 [95% CI 0.79, 0.98], p = 0.02); effect size of the association of social contact at 50 or 70 years with dementia was similar (0.92 [95% CI 0.83, 1.02], p = 0.13 and 0.91 [95% CI 0.78, 1.06], p = 0.23, respectively) but not statistically significant. 3 key findings →
Design: cohort Participants: 10,228 Evidence: moderate
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Sleep dysregulation is a feature of dementia but it remains unclear whether sleep duration prior to old age is associated with dementia incidence. 4 key findings →
Participants: 7,959 Evidence: low
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Socioeconomic differences in dementia risk can be partly explained by differences in modifiable health conditions and lifestyle factors. 5 key findings →
Design: longitudinal study Participants: 6,346 Evidence: moderate
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Those reporting depressive symptoms in 1985 (mean follow-up, 27 years) did not have significantly increased risk for dementia (hazard ratio [HR], 1.21; 95% CI, 0.95-1.54) in Cox regression adjusted for sociodemographic covariates, health behaviors, and chronic conditions. 5 key findings →
Design: cohort study Participants: 322 Evidence: moderate
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Existing studies have included a narrow range of infectious diseases, relied on short follow-up periods, and provided little evidence for whether the increased risk is limited to specific dementia subtypes or attributable to specific microbes rather than infection burden. 5 key findings →
Design: cohort study Participants: 490 Evidence: moderate
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Of 23 558 people without pre-existing dementia, 4135 (17·6%) had an admission with delirium. 5 key findings →
Design: cohort Participants: 23,558 Evidence: moderate
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Frailty, comorbidities, and other age-related diseases were associated with a higher risk of dementia but did not account for the elevated dementia risk observed after severe infections. 3 key findings →
Design: cohort Participants: 449,223 Evidence: moderate
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Our results suggest that having an increased body weight or abdominal obesity are associated with increased dementia incidence. 5 key findings →
Design: longitudinal study Participants: 453 Evidence: moderate
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No significant association was found between MHT use and risk of mild cognitive impairment or dementia. 2 key findings →
Design: meta-analysis Participants: 1,016,055 Evidence: moderate
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Female participants had a lower hazard of early-onset dementia compared with males (HR 0·70 [95% CI 0·61-0·80]). 4 key findings →
Design: cohort Participants: 544,442 Evidence: high
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One million nine hundred twenty-five thousand, five hundred sixty-three individuals were included across the four databases with a median follow-up ranging from 5.6 to 8.4 years. 4 key findings →
Design: meta-analysis Evidence: high
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The overall PAF for dementia in Denmark was 37·8% (95% CI 35·6-40·0) for the assessed risk factors. 4 key findings →
Design: cohort Participants: 1,753,515 Evidence: high
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Across the cohort of 212 individuals with SCD+ (M(Age) = 69.17 years, F 42.45%), 258 individuals with MCI (M(Age) = 72.93, F 43.80%), and 195 individuals with dementia (M(Age) = 74.07, F 48.72%), no main effect of education (ß = 0.52, 95% CI -0.30 to 1.58), but a significant education-by-group interaction on CL values, was found ( p = 0.024) using linear regression modeling. 1 key finding →
Participants: 212 Evidence: high
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Obesity (BMI ≥30 kg/m 2 ) at age 50 years (hazard ratio = 1.93; 1.35-2.75) but not at 60 or 70 years was associated with risk of dementia. 4 key findings →
Participants: 10,308 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 28,180 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 28,180 records, built mostly from automated pulls of Europe PMC (61.7% of the library) and OpenAlex (18.1%), 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 (3.7% 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 →