27,380 Alzheimer's and dementia studies in plain English, each scored out of 100.
Plasma NfL is superior to plasma t-tau for the diagnosis and prediction of clinical progression of FTLD-S and AD-S. Classification of evidence This study provides Class III evidence that plasma NfL has superior diagnostic and prognostic performance vs plasma t-tau in FTLD and AD. 2 key findings →
Design: cross-sectional Participants: 265 Evidence: moderate
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The use of an amyloid clock enabled visualization and analysis of biomarker changes as a function of estimated years from symptom onset in sporadic AD. 1 key finding →
Design: cross-sectional Participants: 118 Evidence: moderate
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Inclusion criteria included clinical diagnosis of PPA; availability of complete speech, language, and cognitive testing; magnetic resonance imaging performed within 6 months of the cognitive evaluation; and PET carbon 11-labeled Pittsburgh Compound-B or florbetapir F 18 brain scan results. 5 key findings →
Design: longitudinal study Participants: 109 Evidence: moderate
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In DIAD, solanezumab was not associated with ARIA. 5 key findings →
Design: cross-sectional Participants: 52 Evidence: moderate
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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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Future research should examine whether minimizing drawbacks at the pre-imaging stage has adverse consequences on results disclosure. 5 key findings →
Design: randomized controlled trial Participants: 59 Evidence: high
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Subjective cognitive decline (SCD) is proposed as an indicator of transitional disease stage 2 in the Alzheimer's disease (AD) continuum. 2 key findings →
Design: longitudinal study Participants: 457 Evidence: moderate
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Among the plasma biomarkers, phosphorylated tau (p-tau) 217 exhibited the highest concordance rate with Aβ (2326 of 2571 [90.5%]) and tau (100 of 120 [83.3%]) PET. 4 key findings →
Design: cohort study Participants: 2,611 Evidence: moderate
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This study examined whether levels of blood biomarkers of amyloid (Aβ 42 /Aβ 40 ratio), tau (p-tau 181 ), neurodegeneration (NfL), and glial activation and neuroinflammation (glial fibrillary acidic protein [GFAP], YKL40, soluble triggering receptor expressed on myeloid cells 2 [sTREM2]) collected when participants were cognitively normal are associated with the time to onset of MCI. 5 key findings →
Design: longitudinal study Participants: 271 Evidence: moderate
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Greater neighborhood disadvantage was associated with elevated inflammatory and AD CSF biomarkers cross-sectionally and longitudinal increases in a nonspecific inflammatory blood biomarker. 5 key findings →
Design: longitudinal study Participants: 334 Evidence: moderate
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Plasma p-tau217/Aβ42 had high accuracy to detect AD, with comparable performance across race. 2 key findings →
Design: cross-sectional Participants: 1,135 Evidence: moderate
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Biomarkers have become an essential component of Alzheimer disease (AD) research and because of the pervasiveness of AD pathology in the elderly, the same biomarkers are used in cognitive aging research. 1 key finding →
Evidence: low
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While APOEε4 is associated with increased amyloid-β burden, its association with cerebral tau pathology has been controversial. 5 key findings →
Design: cross-sectional Participants: 124 Evidence: moderate
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The diagnostic performance of plasma biomarkers was poor (area under the curve [AUC] between 0·53 [95% CI 0·44-0·62] and 0·74 [0·66-0·82]) except for plasma NfL concentrations, which had an AUC of 0·88 (0·82-0·93) for the differentiation of the asymptomatic group versus the prodromal Alzheimer's disease group and 0·95 (0·92-0·98) for the asymptomatic group versus the Alzheimer's disease dementia group. 4 key findings →
Design: cross-sectional Participants: 282 Evidence: low
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Among individuals presenting with SCD at a memory clinic, those with a biomarker profile A-T+N+, A+T-N-, A+T+N-, and A+T+N+ were at increased risk of dementia, and showed steeper cognitive decline compared to A-T-N- individuals. 4 key findings →
Participants: 385 Evidence: moderate
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Previous studies have suggested that the APOE ɛ4 allele plays a role in the risk and age at onset of dementia in DS; however, data on in vivo biomarkers remain scarce. 5 key findings →
Design: cohort study Evidence: moderate
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The mean (SD) age was 73.9 (7.35) years among the 237 ADNI participants and 70.2 (9.7) years among the 130 Avid-A05 participants. 2 key findings →
Design: cohort study Participants: 237 Evidence: moderate
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Among 300 participants with DS and a control group of 37 non-DS siblings, mean (SD) age was 45.0 (10.1) years, and 167 (49.6%) were men. 4 key findings →
Design: cross-sectional Participants: 300 Evidence: low
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Among cognitively normal participants with positive biomarkers, 34.4% developed cognitive impairment (Clinical Dementia Rating > 0) as compared to 8.4% of those with negative biomarkers. 2 key findings →
Design: longitudinal study Participants: 720 Evidence: moderate
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Sleep duration is linked to amyloid-β clearance while physical activity is associated with brain volume maintenance. 5 key findings →
Design: cross-sectional Participants: 4,322 Evidence: high
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Higher levels of P-tau181 (HR = 1.32 [95% CI: 1.17-1.51]), NfL (HR = 1.19 [95% CI: 1.03-1.36]), and GFAP (HR = 1.36 [95% CI: 1.22-1.52]), and a lower Aβ42/Aβ40 ratio (HR = 0.80 [95% CI: 0.68-0.95]) were associated with an increased risk of progressing to clinically-diagnosed DAT. 2 key findings →
Design: longitudinal study Participants: 1,007 Evidence: moderate
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Both participant and study partner CFI increased over the duration of the study indicating worsening cognitive functioning. 3 key findings →
Design: longitudinal study Participants: 1,147 Evidence: moderate
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Mean (SD) follow-up was 4.8 (2.6) years. 3 key findings →
Design: cohort study Participants: 298 Evidence: moderate
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A total of 3363 adults were enrolled in SNAC-K (73.3% participation rate). 5 key findings →
Design: cohort study Participants: 3,363 Evidence: moderate
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The sample included 4340 adults (mean [SD; range] age, 58.1 [1.1; 56-63] years; 2400 [55.3%] women); 630 (14.4%) were Black, 900 (20.7%) were Latinx, and 2610 (60.1%) were White. 5 key findings →
Design: cohort study Participants: 4,340 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. 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 →