27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
During follow-up, 271 participants with MCI were diagnosed with AD and 59 with other dementias. 2 key findings →
Design: cohort study Participants: 750 Evidence: moderate
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Neuroinflammation and cerebrovascular dysfunction are early events occurring already at presymptomatic stages of AD and contribute to disease progression. 5 key findings →
Design: longitudinal study Participants: 508 Evidence: moderate
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Cerebral accumulation of amyloid-β is thought to be the starting mechanism in Alzheimer's disease. 4 key findings →
Design: longitudinal study Participants: 437 Evidence: moderate
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It is currently unclear whether plasma biomarkers can be used as independent prognostic tools to predict changes associated with early Alzheimer's disease. 4 key findings →
Design: longitudinal study Participants: 123 Evidence: moderate
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Higher eGFR was associated with increased levels of plasma p-tau217, p-tau181, Tau212-221, and Tau181-190 in individuals with cognitive impairment (cohort 1: R range, -0.24 to -0.59; P Conclusions and relevance In this study, CKD was associated with increased plasma levels of soluble tau, but for p-tau217 the associations were considerably lower than the association with Aβ positivity. 4 key findings →
Design: cross-sectional Participants: 141 Evidence: moderate
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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
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Blood-based biomarkers hold great promise to revolutionize the diagnostic and prognostic work-up of Alzheimer's disease (AD) in clinical practice. 5 key findings →
Design: longitudinal study 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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Plasma amyloid-β (Aβ) peptide levels have been examined as a low-cost accessible marker for risk of incident Alzheimer's disease (AD) and dementia, but results have varied between studies. 4 key findings →
Participants: 2,189 Evidence: low
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Our findings show that different AT(N) variants are not interchangeable, and that optimal variants differ by clinical stage. 4 key findings →
Design: longitudinal study Participants: 490 Evidence: moderate
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Most neuroinflammatory CSF biomarkers were associated with WML in individuals without dementia. 5 key findings →
Design: longitudinal study Participants: 247 Evidence: moderate
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Cerebrospinal fluid (CSF) tau (total tau, T-tau), neurofilament light (NFL), and neurogranin (Ng) are potential biomarkers for neurodegeneration in Alzheimer's disease (AD). 3 key findings →
Design: longitudinal study Participants: 93 Evidence: moderate
Full summary, score breakdown and related studies → Original source
Age was the strongest risk factor for progression. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source
Impaired spatial navigation was associated with conversion to dementia within 2 and 4 years and with key CSF and MRI biomarkers for AD and neurodegeneration in patients with SCD and MCI. 5 key findings →
Design: cohort study Participants: 176 Evidence: moderate
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Tau is an axonal microtubule-binding protein. 5 key findings →
Design: cross-sectional Participants: 133 Evidence: moderate
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A tau/Aβ42 ratio of >0.52 constitutes a robust cerebrospinal fluid Alzheimer profile. 3 key findings →
Participants: 1,442 Evidence: moderate
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Core CSF changes in Alzheimer disease (AD) are decreased amyloid β(1-42), increased total tau, and increased phospho-tau, probably indicating amyloid plaque accumulation, axonal degeneration, and tangle pathology, respectively. 4 key findings →
Design: cross-sectional Participants: 529 Evidence: moderate
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Neuroimaging and biofluid tau markers hold potential for optimising such clinical trials by augmenting participant selection, providing evidence of target engagement, and monitoring treatment efficacy. 5 key findings →
Design: clinical trial Evidence: low
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We used a sensitive and specific beta-site amyloid precursor protein (APP)-cleaving enzyme 1 (BACE1) assay to determine the relationship between BACE1 activity in cerebrospinal fluid (CSF) and markers of APP metabolism and axonal degeneration in early and late stages of Alzheimer disease (AD). 4 key findings →
Design: case-control study Participants: 113 Evidence: moderate
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During follow-up, 57 (42%) patients with MCI developed Alzheimer's disease, 21 (15%) developed other forms of dementia, and 56 (41%) remained cognitively stable for 5.2 years (range 4.0-6.8). 1 key finding →
Evidence: low
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Widespread implementation of cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) in clinical settings requires improved accuracy for diagnosis of prodromal disease and for distinguishing AD from non-AD dementias. 4 key findings →
Participants: 338 Evidence: moderate
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Chemokine (C-C motif) receptor 2 (CCR2)-signaling can mediate accumulation of microglia at sites affected by neuroinflammation. 3 key findings →
Participants: 119 Evidence: moderate
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The cerebrospinal fluid (CSF) biochemical markers (biomarkers) Amyloidβ 42 (Aβ 42 ), total Tau (T-tau) and Tau phosphorylated at threonine 181 (P-tau 181 ) have proven diagnostic accuracy for mild cognitive impairment and dementia due to Alzheimer's Disease (AD). 5 key findings →
Evidence: low
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The diagnostic guidelines of Alzheimer's disease (AD) have recently been updated to include brain imaging and cerebrospinal fluid (CSF) biomarkers, with the aim of increasing the certainty of whether a patient has an ongoing AD neuropathologic process or not. 3 key findings →
Design: cross-sectional Evidence: moderate
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Early detection of prodromal Alzheimer disease (AD) is important because new disease-modifying therapies are most likely to be effective when initiated during the early stages of disease. 4 key findings →
Participants: 137 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 →