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Find studies

Showing 1–25 of 41 studies with an author at Mayo Clinic (US) (page 1 of 2) · 30,580 in the whole library · How the 0–100 score works

Download bibliography of these 41 studies, in this order: BibTeX (.bib) · RIS (.ris)

Showing 41 studies tagged small — clear

Browse by subject, author or institution

Each number is how many studies that link shows, with your other filters kept.

A note on reading research. One study is rarely the final word.

We try to note the size of a study, whether it was in humans or animals, and how early-stage the finding is. If a summary here doesn't make that clear, treat it with extra caution and check the original source.

Genome-wide association studies of cerebral white matter lesion burden: the CHARGE consortium

✓ Peer-reviewed alzhub usefulness score 75 out of 100. Annals of neurology 2011-06-01

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

Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities

✓ Peer-reviewed alzhub usefulness score 71 out of 100. Stroke 2020-06-10

Periventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. 4 key findings →

Design: meta-analysis Participants: 26,654 Evidence: high

Cerebral small vessel disease genomics and its implications across the lifespan

✓ Peer-reviewed alzhub usefulness score 70 out of 100. Nature communications 2020-12-08

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

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

Midlife systemic inflammatory markers are associated with late-life brain volume: The ARIC study

✓ Peer-reviewed alzhub usefulness score 68 out of 100. Neurology 2017-11-01

Our prospective findings provide evidence for what may be an early contributory role of systemic inflammation in neurodegeneration and cognitive aging. 3 key findings →

Design: cohort study Participants: 1,633 Evidence: moderate

More-severe diabetes (defined by higher HbA 1c and longer disease duration) but not prediabetes or less-severe diabetes was associated with smaller brain volumes and an increased burden of brain vascular pathology. 3 key findings →

Design: cross-sectional Participants: 1,713 Evidence: low

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

Chronic traumatic encephalopathy (CTE) is a neurodegeneration characterized by the abnormal accumulation of hyperphosphorylated tau protein within the brain. 2 key findings →

Evidence: low

Brain macrophage populations include parenchymal microglia, border-associated macrophages, and recruited monocyte-derived cells; together, they control brain development and homeostasis but are also implicated in aging pathogenesis and neurodegeneration. 4 key findings →

Evidence: low

White matter hyperintensities (WMHs) are frequently seen on brain magnetic resonance imaging scans of older people. 1 key finding →

Evidence: low

Vascular cognitive impairment and dementia (VCID) is commonly caused by vascular injuries in cerebral large and small vessels and is a key driver of age-related cognitive decline. 5 key findings →

Evidence: low

Neurogenic orthostatic hypotension (nOH) is common in patients with neurodegenerative disorders such as Parkinson's disease, multiple system atrophy, pure autonomic failure, dementia with Lewy bodies, and peripheral neuropathies including amyloid or diabetic neuropathy. 5 key findings →

Evidence: low

Obesity is linked with lower brain volume in 700 AD and MCI patients

✓ Peer-reviewed alzhub usefulness score 54 out of 100. Neurobiology of aging 2010-06-08

Obesity is associated with lower brain volumes in cognitively normal elderly subjects, but no study has yet investigated the effects of obesity on brain structure in patients with mild cognitive impairment (MCI) or Alzheimer's disease (AD). 4 key findings →

Participants: 399 Evidence: low

Vascular contributions to cognitive impairment and dementia (VCID) are characterized by the aging neurovascular unit being confronted with and failing to cope with biological insults due to systemic and cerebral vascular disease, proteinopathy including Alzheimer's biology, metabolic disease, or immune response, resulting in cognitive decline. 4 key findings →

Evidence: low

MRI correlates of neurofibrillary tangle pathology at autopsy: a voxel-based morphometry study

✓ Peer-reviewed alzhub usefulness score 53 out of 100. Neurology 2008-09-01

Patterns of gray matter loss are associated with neurofibrillary tangle (NFT) pathology, specifically with NFT burden at Braak stages III and IV and with Braak stage itself at higher stages. 4 key findings →

Evidence: low

Higher arterial stiffness and pulsatility were associated with MCI and dementia in white participants. 3 key findings →

Design: cross-sectional Evidence: moderate

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Where “Free full text” comes from

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

How the 0–100 score works — and why some entries are capped

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.

  • Journal tier up to 10 pts
  • Journal's citation record up to 4 pts
  • Study design up to 12 pts
  • Strength of evidence up to 5 pts
  • Peer-review validation up to 10 pts
  • How recent up to 5 pts
  • Sample size up to 4 pts
  • Effect reported up to 3 pts
  • Studied in people up to 3 pts
  • Randomised / blinded up to 2 pts
  • Times cited up to 7 pts
  • Citations per year up to 5 pts
  • Impact for its field and year up to 6 pts
  • Cited by studies here up to 6 pts
  • Still being cited up to 4 pts
  • Senior author's track record up to 4 pts
  • Institution's track record up to 3 pts
  • Multi-centre collaboration up to 3 pts
  • Indexed in PubMed up to 2 pts
  • Free to read up to 2 pts

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 30,580 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.

What this library is — and isn't

This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 30,580 records, built mostly from automated pulls of Europe PMC (64.7% of the library) and OpenAlex (16.6%), 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.

1,037 records (3.4% of the library) are not peer-reviewed — 964 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