Elevated FTP-PET reflects Braak IV or greater neuropathology. 3 key findings →
Participants: 26 Evidence: low
Full summary, score breakdown and related studies → Original source
27,780 Alzheimer's and dementia studies in plain English, each scored out of 100.
Elevated FTP-PET reflects Braak IV or greater neuropathology. 3 key findings →
Participants: 26 Evidence: low
Full summary, score breakdown and related studies → Original source
This evaluation shows an [ 18 F]MK-6240 distribution in concordance with postmortem studies and that simplified quantitative approaches such as the SUVR offer valid estimates of neurofibrillary tangle load 90 min post injection. [ 18 F]MK-6240 is a promising tau tracer with the potential to be applied in the disease diagnosis and assessment of therapeutic interventions. 2 key findings →
Participants: 14 Evidence: low
Full summary, score breakdown and related studies → Original source
Patients with Alzheimer's disease can present with different clinical phenotypes. 3 key findings →
Participants: 20 Evidence: low
Full summary, score breakdown and related studies → Original source
Future longitudinal studies examining the association of more severe depressive symptoms and cerebral tau accumulation are needed to substantiate this finding and to guide prevention and treatment in AD. 4 key findings →
Design: cross-sectional Evidence: moderate
Full summary, score breakdown and related studies → Original source
PET amyloid levels were consistent with sparse-to-no neuritic amyloid-β plaques in 51% of patients after 2 years of therapy. 3 key findings →
Design: clinical trial Participants: 89 Evidence: low
Full summary, score breakdown and related studies → Original source
Progressive atrophy was revealed in presymptomatic individuals, with posterior cingulate and neocortical temporoparietal cortical losses, and medial temporal-lobe atrophy. 1 key finding →
Participants: 20 Evidence: low
Full summary, score breakdown and related studies → Original source
By using fluorine 18 fluorodeoxyglucose PET of the brain, a deep learning algorithm developed for early prediction of Alzheimer disease achieved 82% specificity at 100% sensitivity, an average of 75.8 months prior to the final diagnosis. © RSNA, 2018 Online supplemental material is available for this article. 3 key findings →
Participants: 1,002 Evidence: low
Full summary, score breakdown and related studies → Original source
We built and validated a deep learning algorithm predicting the individual diagnosis of Alzheimer's disease (AD) and mild cognitive impairment who will convert to AD (c-MCI) based on a single cross-sectional brain structural MRI scan. 5 key findings →
Design: cross-sectional Evidence: low
Full summary, score breakdown and related studies → Original source
In the field of computer-aided Alzheimer's disease (AD) diagnosis, jointly identifying brain diseases and predicting clinical scores using magnetic resonance imaging (MRI) have attracted increasing attention since these two tasks are highly correlated. 1 key finding →
Participants: 1,984 Evidence: low
Full summary, score breakdown and related studies → Original source
Individuals with Down syndrome (DS) are more likely to experience earlier onset of multiple facets of physiological aging. 3 key findings →
Participants: 46 Evidence: low
Full summary, score breakdown and related studies → Original source
Plasma p-tau217 was 57% higher in subjects with at least one APOE ε4 allele, increased with age, was higher in males, and negatively correlated with brain volume measures by magnetic resonance imaging. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Neurofilament light chain (NfL) is a marker of brain atrophy and predictor of disease progression in rare diseases such as Huntington Disease, but also in more common neurological disorders such as Alzheimer's disease. 5 key findings →
Participants: 62 Evidence: low
Full summary, score breakdown and related studies → Original source
GRN mutations, causing frontotemporal dementia, can be associated with atypical white matter hyperintensities (WMH). 2 key findings →
Participants: 12 Evidence: low
Full summary, score breakdown and related studies → Original source
Postmortem brain studies of older drivers killed in car accidents indicate that many had Alzheimer disease (AD) neuropathologic changes. 2 key findings →
Participants: 129 Evidence: low
Full summary, score breakdown and related studies → Original source
The novel tau-PET tracer [18F]PI-2620 detects the 3/4-repeat-(R)-tauopathy Alzheimer's disease (AD) and the 4R-tauopathies corticobasal syndrome (CBS) and progressive supranuclear palsy (PSP). 2 key findings →
Participants: 29 Evidence: low
Full summary, score breakdown and related studies → Original source
18 F-Flortaucipir, as a classical Tau protein visualizer, has been widely used in the diagnosis of neurodegenerative diseases, especially Alzheimer disease. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Posterior cortical atrophy (PCA) and logopenic progressive aphasia (LPA) are clinical syndromes that commonly have underlying Alzheimer's disease (AD), although non-AD pathologies have also been reported. 2 key findings →
Evidence: moderate
Full summary, score breakdown and related studies → Original source
Among 565 veterans, 34.9% of received an amyloid PET scan and 98.0% of these were consistent with appropriate use criteria. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
This study evaluated performance of a commercially available standardized software program for calculation of florbetapir PET standard uptake value ratios (SUVr) in comparison with an established research method. 1 key finding →
Participants: 183 Evidence: low
Full summary, score breakdown and related studies → Original source
Positive correlations were found between eFBP/eFMM and 18F-FDG-PET SUVR independently of Aβ status and Aβ radiotracer (R>0.72, p<0.001). eFBP/eFMM single-subject analysis revealed clusters of significant hypoperfusion with good correspondence to hypometabolism topographies, independently of the underlying neurodegenerative patterns. 5 key findings →
Participants: 94 Evidence: low
Full summary, score breakdown and related studies → Original source
In the 98 participants with long follow-up, Centiloid = 26 provided the highest overall predictive value = 87% (NPV = 85%, PPV = 88%). 5 key findings →
Participants: 37 Evidence: low
Full summary, score breakdown and related studies → Original source
Regression analyses were run within cohorts to identify variables associated with retrosplenial or inferior parietal FDG standard uptake value ratios. 5 key findings →
Evidence: moderate
Full summary, score breakdown and related studies → Original source
Classification of MCI and HC displayed highest accuracy based on diffusion MRI, which besides demonstrated high correlation with clinical scores. 5 key findings →
Participants: 26 Evidence: low
Full summary, score breakdown and related studies → Original source
Subcortical vascular mild cognitive impairment (svMCI) is a common prodromal stage of vascular dementia. 4 key findings →
Participants: 30 Evidence: low
Full summary, score breakdown and related studies → Original source
The disruption of functional connectivity is one of the early events that occurs in the brains of Alzheimer's disease (AD) patients. 2 key findings →
Participants: 32 Evidence: low
Full summary, score breakdown and related studies → Original source
10 of the 2,885 studies in this tag, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 10. The same 10 appear here every time.
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 27,780 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 27,780 records, built mostly from automated pulls of Europe PMC (61.1% of the library) and OpenAlex (18.3%), 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 →