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Find studies

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.

Analyses measured the associations between predictor variables and the memory score, and whether AT(N) biomarker profiles significantly improved prediction of memory z score rates of change beyond a model with clinical and genetic variables only. 3 key findings →

Design: cohort study Participants: 480 Evidence: moderate

Quantitative Assessment of the Effect of Chronic Kidney Disease on Plasma P-Tau217 Concentrations

✓ Peer-reviewed alzhub usefulness score 69 out of 100. Neurology 2025-01-17

CKD was associated with increased p-tau217 concentrations when measuring p-tau217 by ALZpath and C 2 N methodologies, but the effect was mitigated by the use of %p-tau217. 5 key findings →

Design: cross-sectional Participants: 202 Evidence: moderate

In persons selected from a population-based study, elevated amyloid levels at baseline were associated with worse cognition and imaging biomarkers at baseline and with greater clinical decline and neurodegeneration. 5 key findings →

Design: longitudinal study Participants: 286 Evidence: high

Our transition rates suggest that brain ageing is a nearly inevitable acceleration toward worse biomarker and clinical states. 5 key findings →

Design: cross-sectional Participants: 4,049 Evidence: moderate

MRI and CSF biomarkers in normal, MCI, and AD subjects: predicting future clinical change

✓ Peer-reviewed alzhub usefulness score 61 out of 100. Neurology 2009-07-01

MRI and CSF provide complimentary predictive information about time to conversion from amnestic mild cognitive impairment to Alzheimer disease and combination of the 2 provides better prediction than either source alone. 3 key findings →

Participants: 399 Evidence: low

We found no significant correlation between CSF biomarkers and cognitive scores in any of the 3 clinical groups individually. 2 key findings →

Design: cross-sectional Participants: 399 Evidence: low

The plasma Abeta42/Abeta40 ratio may be a useful premorbid biomarker for identifying cognitively normal elderly white subjects who are at increased risk for developing MCI or AD. 5 key findings →

Participants: 53 Evidence: moderate

This study provides a systematic framework for selection of assay-specific cutpoints for clinical use of plasma p-tau217 for determination of amyloid status. 4 key findings →

Participants: 427 Evidence: low

Low CSF Abeta(1-42) (surrogate for Abeta amyloid load) is more closely linked to the presence of APOE epsilon4 than to clinical status. 3 key findings →

Participants: 399 Evidence: low

Serial MRI and CSF biomarkers in normal aging, MCI, and AD

✓ Peer-reviewed alzhub usefulness score 55 out of 100. Neurology 2010-07-01

Unlike the CSF biomarkers evaluated, changes in serial structural MRI are correlated with concurrent change on general cognitive and functional indices in impaired subjects, track with clinical disease stage, and are influenced by APOE genotype. 3 key findings →

Participants: 312 Evidence: low

Effect of lifestyle activities on Alzheimer disease biomarkers and cognition

✓ Peer-reviewed alzhub usefulness score 54 out of 100. Annals of neurology 2012-11-01

None of the lifestyle variables were correlated with the biomarkers, and the path associations between lifestyle variables and biomarkers were not significant (p > 0.05). 3 key findings →

Participants: 515 Evidence: low

CSF phosphorylated tau as an indicator of subsequent tau accumulation

✓ Peer-reviewed alzhub usefulness score 52 out of 100. Neurobiology of aging 2022-05-26

We evaluated the relationship between baseline CSF p-tau181 and the rate of tau PET change in the temporal meta-ROI and entorhinal cortex (ERC) and how it varied by amyloid level (CSF Aβ42 or amyloid PET) among 143 individuals from the Mayo Clinic Study of Aging and Mayo Alzheimer Disease Research Center. 3 key findings →

Design: longitudinal study Participants: 143 Evidence: moderate

Amyloidosis in the absence of neurodegeneration did not have an adverse impact on practice effects or the 30-month cognitive trajectories. 5 key findings →

Design: longitudinal study Evidence: moderate

We recently demonstrated that the frequencies of biomarker groups defined by the presence or absence of both amyloidosis (A+) and neurodegeneration (N+) changed dramatically by age in cognitively non-impaired subjects. 4 key findings →

Design: cross-sectional Evidence: low

Brain injury biomarkers are not dependent on β-amyloid in normal elderly

✓ Peer-reviewed alzhub usefulness score 47 out of 100. Annals of neurology 2013-02-19

Cognitively normal persons with brain injury biomarker abnormalities, with or without abnormal levels of β-amyloid, were indistinguishable on a variety of imaging markers, clinical features, and risk factors. 2 key findings →

Design: cross-sectional Evidence: low

Plasma biomarkers such as phospho-tau species are increasingly used in clinical practice for the diagnosis of Alzheimer disease (AD). 4 key findings →

Evidence: low

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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