27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Early identification of patterns of abnormality is of fundamental importance for detecting disease onset and tracking progression. 2 key findings →
Design: longitudinal study Participants: 1,017 Evidence: moderate
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Elecsys CSF biomarker assays may provide reliable alternatives to PET in Alzheimer's disease diagnosis. 3 key findings →
Participants: 277 Evidence: moderate
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Brain iron elevation is implicated in Alzheimer's disease (AD) pathogenesis, but the impact of iron on disease outcomes has not been previously explored in a longitudinal study. 3 key findings →
Design: longitudinal study Evidence: moderate
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The cumulative incidence of cognitive impairment was 8.5% at year 1, increasing to 47.4% by year 6. 2 key findings →
Design: prospective cohort Participants: 141 Evidence: moderate
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Characterization of the genetic landscape of Alzheimer's disease (AD) and related dementias (ADD) provides a unique opportunity for a better understanding of the associated pathophysiological processes. 2 key findings →
Evidence: low
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GBA mutations (β = 4.65; 95% CI, 1.72-7.58; P = .002), E326K (β = 3.42; 95% CI, 0.66-6.17; P = .02), and GBA variants combined as a single group (β = 4.01; 95% CI, 1.95-6.07; P = 1.5 × 10-4) were associated with a more rapid decline in MDS-UPDRS III score. 4 key findings →
Design: longitudinal study Participants: 740 Evidence: moderate
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Alzheimer's disease (AD) is a progressive neurodegenerative condition marked by a decline in cognitive functions with no validated disease modifying treatment. 1 key finding →
Design: cross-sectional Evidence: moderate
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Previous studies of Aβ plasma as a biomarker for Alzheimer's disease (AD) obtained conflicting results. 5 key findings →
Design: longitudinal study Participants: 715 Evidence: moderate
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These studies fundamentally deepen our understanding of AD progression and its underlying genetic basis, which in turn informs and improves clinical trial design. 2 key findings →
Design: longitudinal study Evidence: moderate
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See Coulthard and Knight (doi:10.1093/aww335) for a scientific commentary on this article. 1 key finding →
Design: longitudinal study Participants: 530 Evidence: moderate
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Recent genetic and proteomic studies demonstrate that clusterin/apolipoprotein-J is associated with risk, pathology, and progression of Alzheimer's disease (AD). 5 key findings →
Design: longitudinal study Participants: 139 Evidence: moderate
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We used a new method of pooling cerebrospinal fluid Aβ42 and Pittsburgh compound B positron emission tomography measures to produce equivalent measures of brain Aβ load from either source and analysed the results using multiple imputation methods. 3 key findings →
Participants: 165 Evidence: low
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Tensor-based morphometry can recover three-dimensional longitudinal brain changes over time by nonlinearly registering baseline to follow-up MRI scans of the same subject. 2 key findings →
Design: longitudinal study Participants: 20 Evidence: moderate
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A challenge in developing informative neuroimaging biomarkers for early diagnosis of Alzheimer's disease is the need to identify biomarkers that are evident before the onset of clinical symptoms, and which have sufficient sensitivity and specificity on an individual patient basis. 4 key findings →
Design: longitudinal study Evidence: moderate
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In Alzheimer's disease, post-mortem studies have shown that the first cortical site where neurofibrillary tangles appear is the transentorhinal region, a subregion within the medial temporal lobe that largely overlaps with Brodmann area 35, and the entorhinal cortex. 5 key findings →
Participants: 215 Evidence: low
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Cerebrospinal fluid and positron emission tomography amyloid-β were measured at baseline in 769 persons [161 healthy controls, 68 subjective memory complaints, 419 mild cognitive impairment and 121 Alzheimer's disease dementia, mean age 72 years (standard deviation 7 years), 47% females] and used to predict diagnosis, APOE ε4 carriage status, cerebral blood flow, cerebrospinal fluid total-tau and phosphorylated-tau levels (cross-sectionally); and hippocampal volume, fluorodeoxyglucose positron emission tomography results and Alzheimer's Disease Assessment Scale-cognitive subscale scores (longitudinally). 2 key findings →
Participants: 769 Evidence: low
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At baseline and at follow-up MCI-AD showed higher levels P-tau(231), T-tau, IP, P-tau(231)/Abeta(42/40) and T-tau/Abeta(42/40) ratios and lower Abeta(42)/Abeta(40) than MCI-MCI or NL-NL. 2 key findings →
Design: longitudinal study Participants: 86 Evidence: moderate
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These six markers describe six clinicopathological stages from cognitive normalcy to mild dementia, including stages defined by increased risk of cognitive decline. 1 key finding →
Participants: 24 Evidence: moderate
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Most approaches to machine learning from electronic health data can only predict a single endpoint. 1 key finding →
Participants: 1,909 Evidence: low
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Metabolomics identified key disease-related metabolic changes and disease-progression-related changes. 1 key finding →
Evidence: low
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Neuroimaging has made it possible to measure pathological brain changes associated with Alzheimer's disease (AD) in vivo. 2 key findings →
Evidence: low
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Alzheimer's disease (AD) is a progressive and irreversible brain degenerative disorder. 2 key findings →
Evidence: low
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ADNI-3 will aim to inform AD treatment trials and facilitate development of AD disease-modifying treatments. 2 key findings →
Evidence: low
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The Alzheimer's Disease Neuroimaging Initiative (ADNI) beginning in October 2004, is a 6-year research project that studies changes of cognition, function, brain structure and function, and biomarkers in elderly controls, subjects with mild cognitive impairment, and subjects with Alzheimer's disease (AD). 2 key findings →
Evidence: low
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Significant progress has been made in understanding the pre-symptomatic phase of amyotrophic lateral sclerosis. 3 key findings →
Evidence: low
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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 →