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Find studies

Showing 1,326–1,350 of 3,336 studies · tagged Biomarkers (page 54 of 134) · 28,180 in the whole library · How the 0–100 score works

Download bibliography of the first 500 of these studies, in this order: BibTeX (.bib) · RIS (.ris)

Browse by subject, author or institution

Each number is how many studies that link shows, with your other filters kept.

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.

Low levels of cerebrospinal fluid (CSF) beta-amyloid 1-42 (Abeta42) and high total tau (T-tau) are diagnostic for manifest Alzheimer's disease. 4 key findings →

Design: longitudinal study Evidence: moderate

For amyloid positive individuals Aβ42/Aβ40, glial fibrillary acidic protein and p-tau181 were the top predictors of cognitive decline while Aβ42/Aβ40 was prominent for amyloid negative participants across all age groups. 5 key findings →

Design: cross-sectional Participants: 1,185 Evidence: moderate

To efficiently implement plasma and cerebrospinal fluid (CSF) biomarkers for staging and prognosis of Alzheimer disease (AD), we must understand their dynamics across disease progression. 2 key findings →

Evidence: low

The complexity of neurodegenerative disorders necessitates an integrative approach that incorporates morphological, functional, and molecular biomarkers. 3 key findings →

Participants: 279 Evidence: moderate

Greater intra-group heterogeneity in ATN abnormality patterns was observed in more severe clinical stages of AD. 5 key findings →

Design: cross-sectional Participants: 665 Evidence: low

Pathophysiologic-constrained ADL provided interpretable, personalized pathologic maps and an AI-derived ADAD score that more closely linked PET pathologic abnormalities with multimodal clinical measures. © RSNA, 2026 3 key findings →

Design: longitudinal study Participants: 7,457 Evidence: moderate

P-tau217 demonstrated the most significant inter-group differences, the highest hazard ratio, and best distinguished MCI-Converters from MCI-Nonconverters, with its discriminative performance comparable to that of Aβ-PET measures and multi-plasma biomarker models. 5 key findings →

Design: longitudinal study Participants: 47 Evidence: moderate

In linear mixed models, vascular endothelial growth factor was significantly associated with incident DWI-positive lesions over 1 year. 5 key findings →

Design: cross-sectional Participants: 181 Evidence: moderate

Traumatic brain injury (TBI), a major cause of persistent cognitive impairment (CI), increases the long-term risk of developing dementia, including Alzheimer's disease (AD). 3 key findings →

Design: longitudinal study Participants: 29 Evidence: moderate

The results of this proof-of-principle study will be used to assess the potential of target engagement of minocycline for CAA. 1 key finding →

Participants: 60 Evidence: high

As neuroinflammation is an early event in the pathogenesis of Alzheimer' s disease, new selective antiinflammatory drugs could lead to promising preventive strategies. 3 key findings →

Design: randomized controlled trial Evidence: low

Neurogranin (Ng) is a post-synaptic protein that previously has been shown to be a biomarker for synaptic function when measured in cerebrospinal fluid (CSF). 5 key findings →

Participants: 915 Evidence: low

Aβ misfolding and GFAP showed a strong ability to predict clinical AD risk and may be important early AD risk markers. 1 key finding →

Participants: 68 Evidence: moderate

Elecsys CSF biomarker immunoassays demonstrate concordance with amyloid-PET imaging

✓ Peer-reviewed alzhub usefulness score 53 out of 100. Alzheimer's research & therapy 2020-03-31

Strong concordance between CSF biomarkers and Aβ-PET status was observed overall, including for cognitively normal participants, further strengthening the association between these markers of AD neuropathological burden for both developmental research studies and for use in clinical trials. 2 key findings →

Participants: 202 Evidence: moderate

CSF Aβ42/40 ratio can predict PET amyloid positivity with high accuracy in patients with a range of cognitive disorders when evaluating Aβ pathology independent of tau and neurodegeneration for research purposes. 4 key findings →

Participants: 44 Evidence: moderate

A panel of structure- and concentration-based plasma amyloid biomarkers may predict conversion to clinical MCI and dementia due to AD in cognitively unimpaired subjects. 3 key findings →

Participants: 203 Evidence: moderate

In Alzheimer's disease (AD), deposition of insoluble amyloid-β (Aβ) is followed by intracellular aggregation of tau in the neocortex and subsequent neuronal cell loss, synaptic loss, brain atrophy, and cognitive impairment. 2 key findings →

Design: longitudinal study Evidence: moderate

Two components were identified. Proinflammatory Component 2 was elevated in AD/MCI and in Black/African American participants, and strongly associated with poorer cognition (independently of neurofilament light [NfL], phosphorylated tau 217 [p-tau217], and glial fibrillary acidic protein [GFAP]). 3 key findings →

Evidence: moderate

Discrepancies in diagnostic biomarkers for Alzheimer's Disease (AD) may arise from racial disparities, risk factors, or lifestyle differences. 2 key findings →

Design: cross-sectional Evidence: moderate

From across this tag

10 of the 3,322 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 28,180 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 28,180 records, built mostly from automated pulls of Europe PMC (61.7% of the library) and OpenAlex (18.1%), 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.

1,034 records (3.7% 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