27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
For the reproducibility, identical P-values and slope estimates were found with both digital biomarkers and neuropsychological test measures between the previous and current studies. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
The mean DDAF score was 40.56 ± 21.18 among digital natives (18-29 years), 34.93 ± 21.88 among the digital transition generation (30-44 years), and 25.17 ± 18.59 among digital immigrants (45-70 years) (p < 0.001). 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Alzheimer's disease (AD) is a complex genetic disease, and variants identified through genome-wide association studies (GWAS) explain only part of its heritability. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
The strategies of classifying APP, PSEN1, and PSEN2 variants varied substantially in the previous studies. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
We present a model for digital neural impairment screening and self-assessment, which can evaluate cognitive and motor deficits for patients with symptoms of central nervous system (CNS) disorders, such as mild cognitive impairment (MCI), Parkinson's disease (PD), Huntington's disease (HD), or dementia. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source
The health issues associated with aging not only have a significant impact on the overall well-being of older individuals but also puts a lot of pressure of the healthcare system (3). 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Recently, deep-learning-based approaches have been proposed for the classification of neuroimaging data related to Alzheimer's disease (AD), and significant progress has been made. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Alzheimer's Disease (AD) is the most common cause of dementia globally. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Quantification results using the proposed deep learning-based method showed stronger correlations with the FreeSurfer estimates than SPM-based SN using MRI did. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
These programs are considered beneficial nonpharmacological cognitive training interventions for middle-aged women at high risk of cognitive impairment. 1 key finding →
Participants: 30 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Poor adherence to drug dosing schedule is responsible for ∼50% of hospitalization cases. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Full text may need a subscription
Subjects with Alzheimer's disease (AD) show loss of cognitive functions and change in behavioral and functional state affecting the quality of their daily life and that of their families and caregivers. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Identifying individuals at risk for progression of AD dementia could potentially help to personalize disease management to plan future care. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Utilizing the publicly available neuroimaging database enabled by Alzheimer's disease Neuroimaging Initiative (ADNI; http://adni.loni.usc.edu/ ), we have compared the performance of automated classification algorithms that differentiate AD vs. normal subjects using Positron Emission Tomography (PET) with fluorodeoxyglucose (FDG). 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Our aim is to develop a machine learning (ML) model that can predict dementia in a general patient population from multiple health care institutions one year and three years prior to the onset of the disease without any additional monitoring or screening. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Full text may need a subscription
Dementia, a chronic and progressive cognitive declination of brain function caused by disease or impairment, is becoming more prevalent due to the aging population. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Full text may need a subscription
Alzheimer's disease (AD) is a complex and multifactorial neurodegenerative disorder, recognized as the most prevalent form of dementia. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
In sub-populations such as diabetes mellitus type 2, proliferative diabetic retinopathy is an independent predictor of ischemic stroke. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
When analyzing multiple mobility metrics together, different combinations of mobility metrics are related to specific adverse health outcomes. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
There is an urgent need for greater consideration of the ethical and legal implications that remote technological monitoring might have upon workforce morale, recruitment and retention. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Advances in automatic text classification have been necessitated by the rapid increase in the availability of digital documents. 5 key findings →
Participants: 21 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Early-onset Alzheimer disease (AD)-like pathology in Down syndrome is commonly attributed to an increased dosage of the amyloid precursor protein (APP) gene. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The aspartyl protease beta-site amyloid precursor protein cleaving enzyme 1 (BACE1) initiates processing of amyloid precursor protein (APP) into amyloid beta (Abeta) peptide, the major component of Alzheimer disease (AD) plaques. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
The present study addresses the following major questions: 1) Are the levels of an alpha-secretase candidate (i.e., ADAM10) reduced in accessible cells of Alzheimer Disease (AD) patients? 2) Are ADAM10 levels in the peripheral cells of AD patients related to a concomitant decrease in alpha APPs? 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Lack of tau expression has been reported to protect against excitotoxicity and to prevent memory deficits in mice expressing mutant amyloid precursor protein (APP) identified in familial Alzheimer disease. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
10 of the 1,102 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 27,380 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 →