30,580 Alzheimer's and dementia studies in plain English, each scored out of 100.
A total of 503 participants (mean [SD] age, 64.6 [2.8] years; 321 [63.8%] women; 305 [60.6%] Hispanic, 120 [23.9%] non-Hispanic Black, and 78 [15.5%] non-Hispanic White) with Aβ PET, MRI (n = 501), and tau PET (n = 355) data were studied. 5 key findings →
Design: cross-sectional Participants: 501 Evidence: moderate
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Low baseline Aβ42/Aβ40 was significantly associated with increased amyloid accumulation (β = 0.257, 95% confidence interval (CI) 0.177-0.336, P < 0.001), and with higher risk of conversion to Aβ-PET positivity (Hazard ratio (HR) = 2.84, 95% CI 1.14-7.04, P = 0.025) and to MCI due to AD (HR = 3.25, 95% CI 1.17-9.01, P = 0.024). 5 key findings →
Design: longitudinal study Participants: 200 Evidence: moderate
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A single-timepoint ResNet3D model achieved modest performance (c-index ~ 0.70). 5 key findings →
Design: longitudinal study Evidence: moderate
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Our results suggest that microstructural features derived from NODDI such as fISO might be useful adjunct markers to tau, which needs to be confirmed in longitudinal studies. 2 key findings →
Design: longitudinal study Participants: 80 Evidence: moderate
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Of 104 metabolites studied, glycodeoxycholic acid (GDCA) surpassed the false discovery rate and was associated the Alzheimer's Disease Assessment Scale-Cognitive Subscale version 13 (ADAS-Cog13) score (β = 0.12, 95 % CI = 0.05-0.20, p = 0.001) and cognitive impairment determined by mini-mental status exam (MMSE) (OR = 2.11, 95 % CI = 1.41-3.15, p < 0.001). 4 key findings →
Design: cross-sectional Participants: 578 Evidence: moderate
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The Alzheimer's Association Research Roundtable convened a working group to review data on amyloid imaging related abnormalities (ARIA) in response to concerns raised by the Food and Drug Administration. 3 key findings →
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A novel approach to correcting for intensity nonuniformity in magnetic resonance (MR) data is described that achieves high performance without requiring a model of the tissue classes present.
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In all 6 patients (3 women and 3 men; mean age 61.8 years), the underlying clinical phenotype was associated with the regional distribution of the [18F]AV-1451 signal. 4 key findings →
Evidence: low
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Overall visual ratings showed complete concordance between radiotracers for both the medial temporal lobe and the neocortex. 5 key findings →
Design: longitudinal study Evidence: moderate
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In this study, serum DHA levels were associated with pathogenesis of cerebral amyloidosis and with preservation of entorhinal and hippocampal volumes. 5 key findings →
Design: cross-sectional Participants: 61 Evidence: low
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In cohort 1, PVEC increased the effect on AD-versus-HC discrimination from a Cohen d value of 1.68 to 2.0 for composite SUVRs and from 0.04 to 1.04 for mesial temporal cortex SUVRs. 2 key findings →
Evidence: moderate
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Neurofilament light chain (NfL) is a promising biomarker for risk stratification and disease monitoring of dementia, but its utility in the preclinical disease stage remains uncertain. 4 key findings →
Participants: 975 Evidence: low
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Longitudinal patterns of clinical decline differ between LPA and PCA but are heterogeneous and related to different patterns of topographic spread. 5 key findings →
Design: case-control study Participants: 27 Evidence: moderate
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Our study provides evidence that plasma p-tau217 has strong discriminative accuracy for AD among patients with early-onset and/or atypical dementia assessed in specialized settings. 4 key findings →
Participants: 81 Evidence: low
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Ten papers were identified from 7 studies. 5 key findings →
Design: systematic review Evidence: high
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Ventricular volume trajectory is more sensitive than total brain and hippocampal volume trajectories as a marker of accruing Alzheimer disease and vascular pathology in elderly individuals. 4 key findings →
Design: longitudinal study Evidence: moderate
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The association between moderate-severe chronic kidney disease and white matter hyperintensity volume highlights the growing importance of kidney disease as a possible determinant of cerebrovascular disease and/or as a marker of microangiopathy. 5 key findings →
Participants: 615 Evidence: moderate
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When compared with the other groups, AD patients demonstrated significantly higher SUVRs (P Conclusion (18)F-florbetaben had high sensitivity for AD, clearly distinguished patients with FTLD from AD, and provided results comparable to those reported with (11)C-Pittsburgh Compound B in a variety of neurodegenerative diseases. 1 key finding →
Participants: 20 Evidence: low
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Moreover, the presence of Aβ+ was associated with an elevated [18F]-AV-1451 SUVR in AD cortical signature regions (Aβ+ participants: mean [SD], 1.3 [0.3]; Aβ- participants: 1.1 [0.1]; F = 4.3, P = .04) but not in the hippocampus. 3 key findings →
Participants: 59 Evidence: low
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The PLI performed at least as well as the PC in detecting true changes in synchronization in model and real data but, at the same token and like-wise the IC, it was much less affected by the influence of common sources and active reference electrodes. 2 key findings →
Evidence: low
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Cognitive complaints in older adults may indicate underlying neurodegenerative changes even when unaccompanied by deficits on formal testing. 3 key findings →
Participants: 40 Evidence: low
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Type 2 diabetes is associated with hippocampal and amygdalar atrophy, regardless of vascular pathology. 4 key findings →
Participants: 506 Evidence: low
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Tau PET imaging with (18)F-AV-1451 could serve as an in vivo biomarker for the evaluation of AD-related tau pathology and monitoring disease progression. 2 key findings →
Participants: 20 Evidence: low
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Doubly dissociated areas of hypoperfusion in FTLD and AD are consistent with areas of significant histopathologic burden in these groups. 5 key findings →
Participants: 18 Evidence: low
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Heart failure is a risk factor for Alzheimer's disease and cerebrovascular disease. 5 key findings →
Design: cross-sectional Evidence: moderate
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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.
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 30,580 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 30,580 records, built mostly from automated pulls of Europe PMC (64.7% of the library) and OpenAlex (16.6%), 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.
1,037 records (3.4% of the library) are not peer-reviewed — 964 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