30,980 Alzheimer's and dementia studies in plain English, each scored out of 100.
Although recent clinical trials targeting amyloid-β in Alzheimer's disease have shown promising results, there is increasing evidence suggesting that understanding alternative disease pathways that interact with amyloid-β metabolism and amyloid pathology might be important to halt the clinical deterioration. 4 key findings →
Design: longitudinal study Participants: 75 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Smoothing splines demonstrated that earliest plasma p-tau181 changes occurred even before amyloid-β markers reached abnormal levels, with greater rates of change correlating with increased amyloid-β pathology. 4 key findings →
Design: prospective cohort Participants: 1,067 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
When identifying participants with abnormal CSF Aβ42/40 in the whole cohort, plasma IP-MS-WashU Aβ42/40 showed significantly higher accuracy (area under the receiver operating characteristic curve [AUC], 0.86; 95% CI, 0.81-0.90) than LC-MS-Arc Aβ42/40, IA-Elc Aβ42/40, IA-EI Aβ42/40, and IA-N4PE Aβ42/40 (AUC range, 0.69-0.78; P Conclusions and relevance The results from 2 independent cohorts indicate that certain MS-based methods performed better than most of the immunoassays for plasma Aβ42/40 when detecting brain Aβ pathology. 2 key findings →
Participants: 182 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
A combination of plasma phospho-tau (P-tau) and other accessible biomarkers might provide accurate prediction about the risk of developing Alzheimer's disease (AD) dementia. 2 key findings →
Participants: 340 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Baseline plasma GFAP could detect abnormal CSF Aβ42/40 and CSF Aβ42/T-tau with an AUC of 0.79 (95% CI 0.72-0.86) and 0.80 (95% CI 0.72-0.86), respectively. 3 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
CSF apoB markedly associates with early tau dysregulation in asymptomatic subjects and identifies at-risk individuals predisposed to develop visuospatial cognitive decline over time. 2 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source
A simple blood test for GFAP, a protein released by activated star-shaped brain support cells called astrocytes, could identify which patients with mild memory problems had underlying Alzheimer's pathology and predict, years in advance, who would go on to develop Alzheimer's dementia. 4 key findings →
Design: cohort Participants: 160 Evidence: moderate
Full summary, score breakdown and related studies → Original source
Elecsys-derived CSF biomarkers detect AD neuropathologic changes with very high discriminative accuracy in vivo. 2 key findings →
Participants: 27 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
PET, CSF and plasma biomarkers of tau pathology may be differentially associated with Alzheimer's disease (AD)-related demographic, cognitive, genetic and neuroimaging markers. 3 key findings →
Participants: 400 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
We identified a series of transmembrane proteins, proteins associated with or anchored to the plasma membrane, and proteins involved in or connected to synaptic vesicle transport to be associated with CSF biomarkers of amyloid and tau pathology in AD. 4 key findings →
Design: cohort study Evidence: moderate
Full summary, score breakdown and related studies → Original source
Plasma tau phosphorylated at threonine 181 (p-tau181) predicts Alzheimer's disease (AD) pathology with high accuracy in the general population. 2 key findings →
Participants: 366 Evidence: low
Full summary, score breakdown and related studies → Original source
Beta-amyloid (Aβ 1-42 ) triggers the phosphorylation of tau protein in Alzheimer's disease (AD), but the relationship between phosphorylated tau (p-tau) and Aβ 1-42 in the blood is not elucidated. 4 key findings →
Participants: 62 Evidence: low
Full summary, score breakdown and related studies → Original source
A combination of plasma Aβ42/Aβ40 and p-tau217 discriminated Aβ status with relatively high accuracy, whereas p-tau217 showed strongest associations with Aβ pathology in MCI but not in CU. 1 key finding →
Participants: 591 Evidence: low
Full summary, score breakdown and related studies → Original source
These results support plasma p-tau 181 for the detection of AD dementia and the use of blood-based biomarkers for optimal disease detection. 2 key findings →
Participants: 235 Evidence: low
Full summary, score breakdown and related studies → Original source
P-tau isoforms can be measured robustly by several novel high-sensitive Simoa assays. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Plasma NfL indicates neurodegeneration while plasma p-tau181 levels can serve as a biomarker of cerebral AD pathology and cognitive decline. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
For many years, blood-based biomarkers for Alzheimer's disease seemed unattainable, but recent results have shown that they could become a reality. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
Four fluid-based biomarkers have been developed into diagnostic tests for Alzheimer's disease (AD) pathology: the ratio of 42 to 40 amino acid-long amyloid β, a marker of plaque pathology; total-tau and phosphorylated tau, markers of AD-related changes in tau metabolism and secretion; and neurofilament light, a marker of neurodegeneration. 5 key findings →
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 30,980 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 30,980 records, built mostly from automated pulls of Europe PMC (65.2% of the library) and OpenAlex (16.4%), 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.
1,042 records (3.4% of the library) are not peer-reviewed — 967 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