Get help now — free helplines

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In a medical emergency, call 911. More numbers, and what each line does, on the help page.

Find studies

A note on reading research. One study is rarely the final word.

We try to note the size of a study, whether it was in humans or animals, and how early-stage the finding is. If a summary here doesn't make that clear, treat it with extra caution and check the original source.

In this cross-sectional study of plasma biomarkers by race and genetic ancestry, the results indicated that plasma p-tau181, Aβ40, and NFL were lower in African American individuals based on self-reported race but not genetic ancestry. 3 key findings →

Design: cross-sectional Participants: 617 Evidence: low

Plasma biomarkers for prognosis of cognitive decline in patients with mild cognitive impairment

✓ Peer-reviewed alzhub usefulness score 62 out of 100. Brain communications 2022-06-14

Although recent studies have demonstrated the prognostic utility of plasma biomarkers of Alzheimer pathology or neurodegeneration, such as pTau-181 and NF-L, whether other plasma biomarkers can further improve prediction of cognitive decline is undetermined. 5 key findings →

Design: cohort study Participants: 60 Evidence: moderate

Cerebral Amyloid Angiopathy and Downstream Alzheimer Disease Plasma Biomarkers

✓ Peer-reviewed alzhub usefulness score 62 out of 100. JAMA network open 2025-05-01

Lobar CMB counts and the presence of CAA were associated with downstream AD plasma biomarkers, including p-tau217 (β = 0.12 [95% CI, 0.05-0.18] and 0.29 [95% CI, 0.12-0.47], respectively), GFAP (β = 0.07 [95% CI, 0.03-0.12] and 0.20 [95% CI, 0.09-0.31], respectively), and NfL (β = 0.07 [95% CI, 0.03-0.11] and 0.16 [95% CI, 0.06-0.25], respectively) with and without the mediation of Aβ uptake on PET (indirect effect: lobar CMBs-p-tau217, 59.8% [β = 0.07 (95% CI, 0.03-0.11)]; lobar CMBs-GFAP, 49.3% [β = 0.04 (95% CI, 0.01-0.06)]; lobar CMBs-NfL, 20.9% [β = 0.01 (95% CI, 0.01-0.03)]; CAA-p-tau217, 50.9% [β = 0.15 (95% CI, 0.06-0.24)]; CAA-GFAP, 39.2% [β = 0.08 (95% CI, 0.03-0.13)]; CAA-NfL, 19.2% [β = 0.03 (95% CI, 0.01-0.05)]). 4 key findings →

Design: cohort study Participants: 1,708 Evidence: moderate

Odor identification as a biomarker of preclinical AD in older adults at risk

✓ Peer-reviewed alzhub usefulness score 62 out of 100. Neurology 2017-06-28

These findings from healthy high-risk older individuals suggest that OI reflects degree of preclinical AD pathology, while its relationships with age and cognition result from the association of these latter variables with such pathology. 3 key findings →

Design: cross-sectional Participants: 101 Evidence: moderate

Higher baseline PP was significantly associated with increased Aβ (β = 0.078; p = 0.001), inferior temporal tau (β = 0.110; p = 0.032), and meta-temporal tau deposition (β = 0.116; p = 0.022). 4 key findings →

Design: cohort study Participants: 1,690 Evidence: high

Levels of CSF Abeta42 decrease and levels of CSF tau increase in AD. 3 key findings →

Design: cohort study Participants: 74 Evidence: moderate

Compared to age matched controls, in the AD group, we found increases in both spectral power and coherence at the slower frequencies (Delta, Theta). 5 key findings →

Participants: 26 Evidence: low

Studies suggest that dysfunction of brain-derived neurotrophic factor (BDNF) is a possible contributor to the pathology and symptoms of Alzheimer's disease (AD). 4 key findings →

Design: meta-analysis Evidence: high

With the aging US population and increasing incidence of Alzheimer disease (AD), understanding factors contributing to driving cessation among older adults is crucial for clinicians. 4 key findings →

Design: longitudinal study Participants: 283 Evidence: moderate

Dementia-related blood biomarkers are the future of large-scale dementia risk stratification; however, the extent to which phosphorylated tau (P-tau181), neurofilament light (NfL), and glial fibrillary acidic protein (GFAP) are associated with nonmodifiable risk factors has yet to be confirmed in the community, and the role of menopause has yet to be investigated. 4 key findings →

Design: cohort study Participants: 9,940 Evidence: moderate

Inflammatory protein biomarkers induced by immune responses have been associated with cognitive decline and the pathogenesis of Alzheimer's disease (AD). 4 key findings →

Design: cross-sectional Participants: 708 Evidence: moderate

Cerebrospinal fluid neurogranin was increased in patients with Alzheimer's disease dementia (P < 0.001), progressive mild cognitive impairment (P < 0.001) and stable mild cognitive impairment (P < 0.05) compared with controls, and in Alzheimer's disease dementia (P < 0.01) and progressive mild cognitive impairment (P < 0.05) compared with stable mild cognitive impairment. 2 key findings →

Design: longitudinal study Participants: 95 Evidence: moderate

A simple blood test for GFAP, a protein released by activated star-shaped brain support cells called astrocytes, could identify which patients with mild memory problems had underlying Alzheimer's pathology and predict, years in advance, who would go on to develop Alzheimer's dementia. 4 key findings →

Design: cohort Participants: 160 Evidence: moderate

CSF biomarkers, including P-tau, T-tau, Aβ 42 , Aβ 40 , and NFL, support in vivo identification of AD neuropathology and correlate with FTLD neuropathology. 4 key findings →

Participants: 101 Evidence: low

In methodologically heterogeneous studies of uncertain applicability to typical clinical settings, amyloid PET, 18 F-FDG PET, and MRI were highly sensitive for neuropathologic AD. 1 key finding →

Design: systematic review Evidence: high

The association between both biomarkers is limited to a middle range of values, is modified by the APOE genotype, and is absent for longitudinal changes; 4 different approaches in 2 different platforms converge on similar pathological Aβ cutoff levels; and different pipelines to process PET scans showed correlated but not identical results. 5 key findings →

Design: cohort study Participants: 820 Evidence: moderate

MRI and CSF biomarkers in normal, MCI, and AD subjects: predicting future clinical change

✓ Peer-reviewed alzhub usefulness score 61 out of 100. Neurology 2009-07-01

MRI and CSF provide complimentary predictive information about time to conversion from amnestic mild cognitive impairment to Alzheimer disease and combination of the 2 provides better prediction than either source alone. 3 key findings →

Participants: 399 Evidence: low

Tau and Aβ imaging, CSF measures, and cognition in Alzheimer's disease

✓ Peer-reviewed alzhub usefulness score 61 out of 100. Science translational medicine 2016-05-01

Alzheimer's disease (AD) is characterized by two molecular pathologies: cerebral β-amyloidosis in the form of β-amyloid (Aβ) plaques and tauopathy in the form of neurofibrillary tangles, neuritic plaques, and neuropil threads. 5 key findings →

Evidence: moderate

The search for biomarkers as a diagnostic aid to the identification of patients in pre-dementia stages is a fast growing research area. 1 key finding →

Design: systematic review Participants: 123 Evidence: high

From across this tag

10 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 10. The same 10 appear here every time.

↑ Change the filters

Where “Free full text” comes from

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

How the 0–100 score works — and why some entries are capped

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.

  • Journal tier up to 10 pts
  • Journal's citation record up to 4 pts
  • Study design up to 12 pts
  • Strength of evidence up to 5 pts
  • Peer-review validation up to 10 pts
  • How recent up to 5 pts
  • Sample size up to 4 pts
  • Effect reported up to 3 pts
  • Studied in people up to 3 pts
  • Randomised / blinded up to 2 pts
  • Times cited up to 7 pts
  • Citations per year up to 5 pts
  • Impact for its field and year up to 6 pts
  • Cited by studies here up to 6 pts
  • Still being cited up to 4 pts
  • Senior author's track record up to 4 pts
  • Institution's track record up to 3 pts
  • Multi-centre collaboration up to 3 pts
  • Indexed in PubMed up to 2 pts
  • Free to read up to 2 pts

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.

What this library is — and isn't

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 →

Newest studies, as a dated timeline →    Atom feed