27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Plasma p-tau217 and tau positron emission tomography (PET) are strong prognostic biomarkers in Alzheimer's disease (AD), but their relative performance in predicting future cognitive decline among cognitively unimpaired (CU) individuals is unclear. 2 key findings →
Design: cohort Participants: 1,474 Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
Of a total 912 participants, there were 499 males (54.7%) and 413 females (45.3%), and the mean (SD) age was 71.1 (8.49) years. 5 key findings →
Design: cohort Participants: 912 Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
A major unanswered question in the dementia field is whether cognitively unimpaired individuals who harbor both Alzheimer's disease neuropathological hallmarks (that is, amyloid-β plaques and tau neurofibrillary tangles) can preserve their cognition over time or are destined to decline. 3 key findings →
Participants: 1,325 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
We identified that combining plasma p-tau217 and a brief cognitive composite score was strongly related to greater risk of progression to AD dementia in MCI patients, suggesting that these measures could be key components of future prognostic algorithms for early AD. 2 key findings →
Participants: 110 Evidence: low
Full summary, score breakdown and related studies → Original source
Participants had a mean (SD) age of 66.9 (9.9) years; 971 (33.3%) were Aβ positive by either CSF or PET, 1667 (57.2%) were women, and 1108 (38.1%) carried at least 1 APOE ε4 allele. 5 key findings →
Design: cross-sectional Participants: 2,916 Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
SNAP-25 and 14-3-3 zeta/delta also had the strongest associations with tau-PET, amyloid-β-PET and cortical thickness at baseline and were associated with longitudinal changes in these imaging biomarkers [β(standard error, SE) = -0.056(0.0006) to 0.058(0.005), P < 0.0001]. 3 key findings →
Design: longitudinal study Participants: 205 Evidence: moderate
Full summary, score breakdown and related studies → Original source
Biological staging of individuals with Alzheimer's disease (AD) may improve diagnostic and prognostic workup of dementia in clinical practice and the design of clinical trials. 4 key findings →
Design: longitudinal study Participants: 426 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
There were 838 BioFINDER-2 participants (mean age, 73.9 [SD, 7.3] years; 431 women [51%]; 407 men [49%]) and 380 ADNI participants (average age, 72.9 [SD, 7.0] years; 194 women [51%]; 186 mean [49%]) included. 3 key findings →
Design: cross-sectional Participants: 838 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
This study tracked tau PET scans over time in over 800 people across the Alzheimer's spectrum and found that while tau broadly follows the classic 'Braak stage' spreading pattern, the exact regions affected vary a lot from person to person, especially as disease progresses. 4 key findings →
Design: cohort Participants: 832 Evidence: moderate
Full summary, score breakdown and related studies → Original source
Within the training set, individuals closer to or beyond their parent's symptom onset demonstrated reduced grey matter volume and altered functional connectivity, specifically in regions known to be vulnerable in Alzheimer's disease. 5 key findings →
Design: longitudinal study Participants: 138 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
For optimal design of anti-amyloid-β (Aβ) and anti-tau clinical trials, we need to better understand the pathophysiological cascade of Aβ- and tau-related processes. 3 key findings →
Design: cross-sectional Evidence: moderate
Full summary, score breakdown and related studies → Original source
The APOE locus is the strongest genetic factor for Alzheimer's disease, with ε4 increasing and ε2 decreasing risk, yet the basis of these opposing effects remains unclear. 1 key finding →
Design: cohort Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Plasma p-tau231 showed more robust associations with PET biomarkers than p-tau181 in presymptomatic individuals. 1 key finding →
Participants: 129 Evidence: moderate
Full summary, score breakdown and related studies → Original source
Fluid and imaging biomarkers of Alzheimer disease (AD) are often used interchangeably, but some biomarkers may reveal earlier stages of disease. 4 key findings →
Participants: 322 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Creatinine and BMI are related to certain plasma biomarkers levels, but they do not have clinically relevant confounding effects for the vast majority of individuals. 1 key finding →
Participants: 748 Evidence: low
Full summary, score breakdown and related studies → Original source
Baseline tau-PET and a composite baseline cognitive score were the strongest independent predictors of cognitive decline. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
One-hundred nineteen individuals with a family history of AD (Presymptomatic Evaluation of Experimental or Novel Treatments of Alzheimer's Disease [PREVENT-AD] cohort, mean age 67 ± 5 years) underwent tau-PET ([ 18 F]FTP), β-amyloid (Aβ)-PET ([ 18 F]NAV4694 [NAV]), and cognitive assessment. 4 key findings →
Evidence: moderate
Full summary, score breakdown and related studies → Original source Full text may need a subscription
Foundation models have driven major advancements in the language and vision domains, as seen in the popularity of Artificial Intelligence (AI) tools, and a growing number of studies are bringing the approach to human brain imaging. 2 key findings →
Participants: 343 Evidence: low
Full summary, score breakdown and related studies → Original source
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
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 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.
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 →