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In a medical emergency, call 911. More numbers, and what each line does, on the help page.

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

These were compared with the prevalence of 3 clinically defined diagnostic groups (mild cognitive impairment or dementia, dementia, and clinically defined probable Alzheimer disease). 4 key findings →

Design: cohort study Participants: 4,660 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

Age, Sex, and APOE ε4 Effects on Memory, Brain Structure, and β-Amyloid Across the Adult Life Span

✓ Peer-reviewed alzhub usefulness score 63 out of 100. JAMA neurology 2015-05-01

Overall, memory worsened from age 30 years through the 90s. The HVa worsened gradually from age 30 years to the mid-60s and more steeply beyond that age. 5 key findings →

Design: cross-sectional Participants: 1,246 Evidence: low

We used a new method of pooling cerebrospinal fluid Aβ42 and Pittsburgh compound B positron emission tomography measures to produce equivalent measures of brain Aβ load from either source and analysed the results using multiple imputation methods. 3 key findings →

Participants: 165 Evidence: low

Cognitively normal elderly individuals who engage in specific mentally stimulating activities even in late life have a decreased risk of incident MCI. 3 key findings →

Design: cohort study Participants: 973 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

This cross-sectional evaluation of the NIA-AA criteria for preclinical AD indicates that the 1-3 staging criteria coupled with stage 0 and SNAP categories classify 97% of CN subjects from a population-based sample, leaving only 3% unclassified. 2 key findings →

Design: cross-sectional Evidence: moderate

Incomplete penetrance was suggested in two kindreds, and the youngest generation had significantly earlier age of onset (>10 years) compared with the next oldest generation in 11 kindreds. 2 key findings →

Participants: 63 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

Age-related changes in the default mode network are more advanced in Alzheimer disease

✓ Peer-reviewed alzhub usefulness score 59 out of 100. Neurology 2011-10-05

The results of this study indicate that the DMN abnormalities observed in patients with AD represent an accelerated aging pattern of connectivity compared with matched controls. 3 key findings →

Participants: 28 Evidence: moderate

Rates of β-amyloid accumulation are independent of hippocampal neurodegeneration

✓ Peer-reviewed alzhub usefulness score 56 out of 100. Neurology 2014-04-04

We describe a 2-feature biomarker approach to classifying elderly CN subjects that is complementary to the National Institute on Aging-Alzheimer's Association preclinical staging criteria. 2 key findings →

Participants: 252 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

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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 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.

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 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 →

Newest studies, as a dated timeline →    Atom feed