31,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Alzheimer Disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β deposition, tau pathology, synaptic dysfunction, neuronal injury and cerebral atrophy. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Dementia, a progressive neurodegenerative disorder affecting memory, cognition, and behaviour, poses a major global health challenge in aging populations. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Recent studies highlight the significance of plasma phosphorylated tau proteins, neurofilament light chain, and amyloid-beta ratios as reliable biomarkers. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Wprowadzenie Obniżenie poziomu funkcjonowania poznawczego to częsty problem osób w wieku podeszłym, zwłaszcza kobiet, a jednym z czynników ryzyka jest brak aktywności fizycznej. 5 key findings →
Evidence: low
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This study aimed to assess the diagnostic contribution of Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) in neurodegenerative dementias presenting with language-predominant symptoms, with or without accompanying behavioral changes, and to evaluate the correspondence between PET-derived metabolic patterns and cerebrospinal fluid (CSF) biomarkers. 4 key findings →
Evidence: low
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Parameters such as clinical status, GCA scale, MTA scale, Fazekas scale, strategic infarction, Koedam score, stroke, hypertension, diabetes mellitus, dyslipidemia, and cardiovascular disease do not have significant correlations with MoCA-INA scores. 4 key findings →
Evidence: low
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Alzheimer's disease is a neurodegenerative disorder affecting millions globally, with early detection being critical for effective management. 2 key findings →
Evidence: low
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The Early Stages of Alzheimer’s Detection project focuses on identifying signs of Alzheimer’s disease at the earliest possible stage using advanced machine learning and medical imaging techniques. 3 key findings →
Evidence: low
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The Early Stages of Alzheimer’s Detection project focuses on identifying signs of Alzheimer’s disease at the earliest possible stage using advanced machine learning and medical imaging techniques. 3 key findings →
Evidence: low
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Alzheimer's Disease acts as a degenerative brain trauma that results in poor memory, alongside impairing mental functioning. 1 key finding →
Evidence: low
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While this process allows machine learning models to make more precise and reliable diagnoses, systems developed on the basis of Dr. Roman Poznanski's DOT (Dynamic Optimization of Thought) theory offer a new method in the diagnosis of neurological diseases. 5 key findings →
Evidence: low
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This review analyzes current data on the epidemiology, pathogenesis, clinical features, and approaches to the treatment of cognitive impairments in diabetes mellitus (DM). 1 key finding →
Evidence: low
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However, knowledge alone does not consistently predict screening behavior. 4 key findings →
Design: narrative review Evidence: low
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Alzheimer disease involves interacting mechanisms that include amyloid-beta accumulation, abnormal tau phosphorylation and aggregation, cholinergic dysfunction, synaptic degeneration, neuronal loss, neuroinflammation, vascular pathology, and genetic susceptibility. 5 key findings →
Design: narrative review Evidence: low
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This article tells us how modern biotechnology and AI are redefining Alzheimer’s disease through early detection, advanced biomarkers, and innovative treatments like lecanemab. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
A progressive neurological disease, Alzheimer's disease (AD) is identified by cognitive decline and memory loss. 1 key finding →
Evidence: low
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Down syndrome is one of the most common chromosomal abnormalities in humans in which an extra copy of chromosome 21 is present. 1 key finding →
Design: case report Evidence: low
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In neurodegenerative diseases, the diagnostic value of α-synuclein seed amplification assay (αSAA) in routine clinical practice and its relationship with cognitive performance and fluid biomarkers remains incompletely characterized. 4 key findings →
Participants: 398 Evidence: moderate
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Alzheimer disease (AD) pathology begins 15–20 years before clinical symptoms, necessitating non - invasive biomarkers for early diagnosis. 4 key findings →
Participants: 120 Evidence: low
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Therapies targeting amyloid, such as monoclonal antibodies like Lecanemab, Aducanumab, and Donanemab, have garnered FDA approval but remain controversial due to limited clinical benefits and significant side effects against Alzheimer. 4 key findings →
Evidence: low
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We developed a Korean version of Mini-Mental Status Examination (MMSE) optimized for screening dementia (MMSE-DS) and its' short form (SMMSE-DS). 4 key findings →
Participants: 1,555 Evidence: low
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The integration of artificial intelligence in medical image classification has significantly advanced disease detection. 2 key findings →
Evidence: low
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The term Precision Aging describes an approach that focuses on multi-domain profiles of risks impacting individual trajectories of age-related cognitive functioning. 3 key findings →
Participants: 555 Evidence: moderate
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The Dementia Trials Accelerator (DTA) is a UK-wide programme designed to improve the feasibility, efficiency, and inclusiveness of recruitment into clinical trials of dementia and related brain-health conditions. 5 key findings →
Participants: 10,000 Evidence: low
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Early identification of cognitive impairment remains challenging in settings where comprehensive cognitive and clinical assessments are not available. 1 key finding →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
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.
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 31,380 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 31,380 records, built mostly from automated pulls of Europe PMC (65.6% of the library) and OpenAlex (16.2%), 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.
1,048 records (3.3% of the library) are not peer-reviewed — 973 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