27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
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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This study evaluated longitudinal CSF biomarker measures collected when participants were cognitively normal to determine the magnitude and time course of biomarker changes before the onset of clinical symptoms in subjects with mild cognitive impairment (MCI). 4 key findings →
Design: longitudinal study Participants: 265 Evidence: moderate
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Sleep abnormalities are prevalent in Alzheimer's disease, with sleep quality already impaired at its preclinical stage. 4 key findings →
Design: cohort study Participants: 1,168 Evidence: moderate
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Whether mild TBI (mTBI) in veterans confers a similar increased risk of AD is less known. 4 key findings →
Design: case-control study Participants: 51 Evidence: moderate
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Alzheimer's disease (AD) and Lewy body diseases (LBD), e.g., Parkinson's disease (PD) dementia and dementia with Lewy bodies (DLB), are common causes of geriatric cognitive impairments. 4 key findings →
Design: longitudinal study Participants: 389 Evidence: moderate
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YKL-40 (also known as Chitinase 3-like 1) is a glycoprotein produced by inflammatory, cancer and stem cells. 4 key findings →
Participants: 288 Evidence: moderate
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= 0.02, 95% CI -0.07 to -0.01) network connectivity. 5 key findings →
Design: longitudinal study Participants: 421 Evidence: moderate
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A total of 621 participants (aged 69.9 ± 3.8, 71% female) had available data for the main analyses and 355 had PET Centiloid data available. 5 key findings →
Design: cross-sectional Participants: 621 Evidence: high
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Except for αSyn, the additional biomarkers did not differentiate PD and HC, and none showed longitudinal differences, but most markers predict cognitive decline in PD during follow-up. 3 key findings →
Design: longitudinal study Evidence: moderate
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The CSF Aβ42/Aβ40 and Aβ42/Aβ38 ratios are significantly better than CSF Aβ42 to detect brain amyloid deposition in prodromal AD and to differentiate AD dementia from non-AD dementias. 5 key findings →
Participants: 1,182 Evidence: low
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We observed no differences in plasma AD biomarker levels between AA and NHW participants. 5 key findings →
Participants: 267 Evidence: moderate
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Elecsys-derived CSF biomarkers detect AD neuropathologic changes with very high discriminative accuracy in vivo. 2 key findings →
Participants: 27 Evidence: low
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These results suggest that plasma biomarkers can augment detection of preclinical AD among asymptomatic individuals and improve the specificity of AD diagnosis. 1 key finding →
Design: cross-sectional Participants: 746 Evidence: low
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In patients with early PD, CSF p-tau 181 and t-tau were low compared with those in controls and did not increase over 5 years of follow-up. 3 key findings →
Design: longitudinal study Participants: 32 Evidence: moderate
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In the longitudinal analysis of p-tau181 trajectories of the AD+P group, the group of patients who showed incidence of psychosis over the course of follow-up (AD+P incident) demonstrated an associated increase in plasma p-tau181 levels compared with the group of patients who had psychosis at baseline (AD+P baseline) and showed an associated decrease in plasma p-tau181 levels (F4, 117 = 3.24; P = .01). 4 key findings →
Design: cohort study Participants: 752 Evidence: moderate
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These findings suggest that increases in certain plasma AD biomarkers are associated with NP in WLWH and WLWOH and may be associated with later onset of AD, and measuring these biomarkers could be a pivotal advancement in monitoring aging brain health and development of AD among women with and without HIV. 5 key findings →
Design: cohort study Participants: 307 Evidence: moderate
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Our findings suggest that poor olfaction is associated with multiple AD-related and other neurodegenerative processes. 5 key findings →
Design: cross-sectional Participants: 1,545 Evidence: moderate
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Alzheimer disease pathologic changes are common in DLB and are associated with the clinical phenotype. β-Amyloid is associated with cognitive impairment, and tau pathology is associated with lower frequency of clinical features of DLB. 5 key findings →
Participants: 417 Evidence: moderate
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A plethora of reports suggest that copper (Cu) homeostasis is disturbed in Alzheimer's disease (AD). 4 key findings →
Design: clinical trial Evidence: high
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Clinicopathological evidence suggests that the pathology of Alzheimer's disease (AD) begins many years before the appearance of cognitive symptoms. 3 key findings →
Design: cross-sectional Evidence: moderate
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We found no significant correlation between CSF biomarkers and cognitive scores in any of the 3 clinical groups individually. 2 key findings →
Design: cross-sectional Participants: 399 Evidence: low
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Lower plasma β-amyloid 42 and 42/40 levels have been associated with incident dementia, but results are conflicting and few have investigated cognitive decline among elders without dementia. 4 key findings →
Participants: 550 Evidence: low
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These data demonstrate that YKL-40, a putative indicator of neuroinflammation, is elevated in AD and, together with Aβ42, has potential prognostic utility as a biomarker for preclinical AD. 3 key findings →
Participants: 47 Evidence: moderate
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There is a clear need to develop an objective diagnostic test for Alzheimer disease (AD). 4 key findings →
Design: cross-sectional Participants: 123 Evidence: low
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9 of the 829 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 9. The same 9 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 →