Alzheimer's disease (AD) pathologies were discovered in the accessible neurosensory retina. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
31,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Alzheimer's disease (AD) pathologies were discovered in the accessible neurosensory retina. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
These six markers describe six clinicopathological stages from cognitive normalcy to mild dementia, including stages defined by increased risk of cognitive decline. 1 key finding →
Participants: 24 Evidence: moderate
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Insulin resistance and type 2 diabetes are associated with cognitive decline and increased risk for Alzheimer's disease (AD). 3 key findings →
Design: longitudinal study Participants: 264 Evidence: moderate
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CSF levels of YKL-40 may have utility for discriminating between cognitively normal individuals and patients with MCI or AD. 2 key findings →
Design: longitudinal study Evidence: moderate
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Alternatively, lesser engagement in social activities may be a marker of impending cognitive decline in MCI. 1 key finding →
Design: cohort study Participants: 78 Evidence: moderate
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Our study indicates that EEG can be used as a useful screening tool for the diagnosis and disease progression evaluation of MCI and AD. 2 key findings →
Participants: 890 Evidence: low
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Over 44 million people suffer from dementia around the world. 2 key findings →
Design: systematic review Evidence: high
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Plasma BACE1 activity is significantly increased in MCI converters and patients with probable AD. 5 key findings →
Participants: 96 Evidence: low
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Blood pressure variability is an emerging risk factor for cognitive decline and dementia, but mechanisms remain unclear. 4 key findings →
Design: cohort study Evidence: moderate
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Subjective cognitive decline (SCD) may be an early indicator of Alzheimer disease and related dementias (ADRD), yet its association with plasma biomarkers remains unclear among middle-aged and older adults (aged 50-86 years). 4 key findings →
Design: cross-sectional Participants: 5,712 Evidence: moderate
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In one of the largest brain MRI studies to date, we used tensor-based morphometry (TBM) to create 3D maps of structural atrophy in 676 subjects with Alzheimer's disease (AD), mild cognitive impairment (MCI), and healthy elderly controls, scanned as part of the Alzheimer's Disease Neuroimaging Initiative (ADNI). 4 key findings →
Participants: 676 Evidence: low
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As one of the earliest structures to degenerate in Alzheimer's disease (AD), the hippocampus is the target of many studies of factors that influence rates of brain degeneration in the elderly. 4 key findings →
Participants: 490 Evidence: low
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Tensor-based morphometry (TBM) is a powerful method to map the 3D profile of brain degeneration in Alzheimer's disease (AD) and mild cognitive impairment (MCI). 4 key findings →
Design: longitudinal study Evidence: moderate
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Based on previous studies, a preclinical classification for Alzheimer's disease (AD) has been proposed. 4 key findings →
Design: cross-sectional Participants: 160 Evidence: moderate
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Plasma-based biomarkers would be potential biomarkers for early diagnosis of Alzheimer's disease (AD) because they are more available and cost-effective than cerebrospinal fluid (CSF) or neuroimaging. 4 key findings →
Design: cross-sectional Participants: 185 Evidence: moderate
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Patients with Alzheimer's disease have reduced cerebral blood flow measured by arterial spin labelling magnetic resonance imaging, but it is unclear how this is related to amyloid-β pathology. 4 key findings →
Participants: 51 Evidence: low
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In cognitively unimpaired (CU) adults at baseline, the risk for progression to dementia increased for every decile increase in the ADI state ranking (hazard ratio = 1.06, 95% confidence interval (1.01-1.11), P = .01). 5 key findings →
Participants: 4,699 Evidence: low
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Among the 1665 AIBL participants (741 [44.5%] female) and 2029 ADNI participants (925 [45.6%] female), the mean (SD) age at first evaluation was 71.8 (7.1) years and 74.5 (6.7) years, respectively. 5 key findings →
Design: cohort study Evidence: moderate
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In total, 41 participants consented (n=10, 24% participants with Alzheimer disease; n=11, 27% participants with Lewy body disease; and n=20, 49% controls). 5 key findings →
Design: longitudinal study Participants: 41 Evidence: moderate
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Bariatric surgery was associated with a significantly reduced incidence of ADRD, evidenced by a subdistribution hazard ratio (SHR) of 0.37 (95% confidence interval [CI]: 0.15–0.89; P = 0.03). 4 key findings →
Design: longitudinal study Participants: 5,303 Evidence: moderate
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Among our participants, aMCI and VCIND demonstrated prevalence of 14.83% and 2.71%, respectively, and annual incidence (per 1000 person-years) of 69.6 and 10.6, respectively. 5 key findings →
Design: longitudinal study Participants: 2,051 Evidence: moderate
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A total of 110 participants (mean [SD] age, 67.9 [4.6] years; 68 female [61.8%]) were randomized to the experimental group (n = 55) and the sham group (n = 55) and included in the intention-to-treat analysis. 5 key findings →
Participants: 55 Evidence: high
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We discovered a remarkable gender-specific difference in DEGs that distinguish P-MCI from S-MCI. 4 key findings →
Design: longitudinal study Participants: 28 Evidence: moderate
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Among the participants, 377 (93.5%) reported subjective memory complaints. 5 key findings →
Design: longitudinal study Participants: 403 Evidence: moderate
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This study examined the combined effects of StrongerMemory program (brain exercises involving reading, writing, and math) and weekly social engagement on cognitive, behavioral, and emotional outcomes in older adults with subjective cognitive decline (SCD). 4 key findings →
Design: randomized controlled trial Participants: 50 Evidence: high
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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 31,380 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 31,380 records, built mostly from automated pulls of Europe PMC (65.6% of the library) and OpenAlex (16.2%), 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.
1,048 records (3.3% of the library) are not peer-reviewed — 973 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 →
Newest studies, as a dated timeline → Atom feed Where this research is being discussed: events