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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.

Multicenter assessment of CSF-phosphorylated tau for the prediction of conversion of MCI

✓ Peer-reviewed alzhub usefulness score 55 out of 100. Neurology 2007-12-01

An a priori defined cutoff value of p-tau(231) yields relatively stable results across centers, suggesting a good feasibility of a standard criterion of p-tau(231) for the prediction of Alzheimer disease. 2 key findings →

Participants: 43 Evidence: low

Digital biomarker prognostic models can be a useful tool to assist large-scale population screening for the early detection of cognitive impairment and patient monitoring over time. 1 key finding →

Design: longitudinal study Evidence: moderate

The Electrophysiology Professional Interest Area (EPIA) and Global Brain Consortium endorsed recommendations on candidate electroencephalography (EEG) measures for Alzheimer's disease (AD) clinical trials. 3 key findings →

Evidence: low

Of 108 participants (age: 69 ± 6.5 years; 54.6% female) with paired samples obtained at time of LP, 64.8% (n = 70/108) had Aβ pathology detected (35 with Mild Cognitive Impairment and 35 with mild dementia). 2 key findings →

Participants: 70 Evidence: moderate

Data were used from the first wave of The Irish Longitudinal Study on Ageing (TILDA), a prospective cohort study that includes a comprehensive health assessment. 4 key findings →

Design: cohort study Evidence: moderate

Goal To examine dementia characteristics, age at onset and associated co-morbidities in persons with Down syndrome. 4 key findings →

Participants: 77 Evidence: low

Making time for brain health: recognising temporal inequity in dementia risk reduction

✓ Peer-reviewed alzhub usefulness score 53 out of 100. The Lancet Healthy Longevity 2025-10-01

Time is an under-recognised social determinant of brain health, and is potentially as important as education or income for dementia risk. 5 key findings →

Design: longitudinal study Evidence: moderate

The best-performing model achieved an area under the curve of 0.86 (95% confidence interval [CI]: 0.84-0.87), with sensitivity of 73.3% (95% CI: 72.3-74.2) and specificity of 87.5% (95% CI: 86.7-88.2). 5 key findings →

Design: case-control study Participants: 8,195 Evidence: moderate

We have used a translational convergent functional genomics (CFG) approach to identify and prioritize genes involved in schizophrenia, by gene-level integration of genome-wide association study data with other genetic and gene expression studies in humans and animal models. 3 key findings →

Evidence: low

Trial registration ClinicalTrials.gov NCT04821960; https://clinicaltrials.gov/ct2/show/NCT04821960. 4 key findings →

Design: randomized controlled trial Evidence: high

A number of in vivo neurochemistry and neuroimaging techniques, which can reliably assess aspects of physiology, pathology, chemistry, and neuroanatomy, hold promise as biomarkers. 2 key findings →

Evidence: low

Diffusion tensor imaging (DTI) based assessment of white matter fiber tract integrity can support the diagnosis of Alzheimer's disease (AD). 4 key findings →

Participants: 137 Evidence: low

Self-efficacy is the belief that one can perform a specific task or behaviour and is a modifiable attribute which has been shown to influence health behaviours. 4 key findings →

Design: longitudinal study Evidence: moderate

In the within-language condition, combined speech timing and lexico-semantic features yielded maximal classification (area under the receiver operating characteristic curve [AUC]=0.88), outperforming single-feature models (AUC=0.79 for timing features; AUC=0.80 for lexico-semantic features). 5 key findings →

Participants: 211 Evidence: low

In total, 156 individuals were assessed for eligibility, and 79 (51%) were recruited (mean age 61.6 ± 6.9 (range 60-75) years; 68% male). 5 key findings →

Participants: 156 Evidence: high

Digital technology is transforming the development of drugs for Alzheimer's disease and was the topic of the Alzheimer's Association's Research Roundtable on its May 23-24, 2017 meeting. 1 key finding →

Evidence: low

Cardiovascular risk factors and the allostatic interoceptive network in dementia

✓ Peer-reviewed alzhub usefulness score 51 out of 100. Cardiovascular Research 2025-10-01

We recruited 1501 participants (304 with FTLD, 512 with AD, and 685 healthy controls) from the Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat). 5 key findings →

Participants: 1,501 Evidence: low

• Longitudinal imaging-genetics study of hippocampal atrophy trajectories over 5 years in ADNI. • APOE -ε4 carriership and ApoE CSF proteomic quantitative trait loci are key genetic drivers of accelerated hippocampal atrophy in amyloid-positive MCI. • Genetic effects are stage-specific, with strongest associations during the prodromal phase of AD. • Sex differences in atrophy rates are observed, but do not significantly alter genetic influences. • Findings support the utility of APOE and functional genetic markers as stratification tools for early neurodegeneration in AD. 4 key findings →

Design: longitudinal study Participants: 1,051 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 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.

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 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 →

Newest studies, as a dated timeline →    Atom feed