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Find studies

Showing 26–50 of 910 studies (page 2 of 37) · 28,580 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)

Showing 910 studies tagged biomarkers — clear

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.

Detailed comparison of amyloid PET and CSF biomarkers for identifying early Alzheimer disease

✓ Peer-reviewed alzhub usefulness score 72 out of 100. Neurology 2015-09-09

The best CSF measures for identifying MCI-AD were Aβ42/total tau (t-tau) and Aβ42/hyperphosphorylated tau (p-tau) (area under the curve [AUC] 0.93-0.94). 3 key findings →

Design: longitudinal study Participants: 122 Evidence: moderate

Alzheimer Disease Blood Biomarkers in Patients With Out-of-Hospital Cardiac Arrest

✓ Peer-reviewed alzhub usefulness score 72 out of 100. JAMA neurology 2023-04-01

In this case-control study, blood biomarkers indicative of AD pathology demonstrated different dynamics of change after cardiac arrest. 5 key findings →

Design: case-control study Participants: 80 Evidence: high

Blood Astrocyte Biomarkers in Alzheimer Disease: A Systematic Review and Meta-Analysis

✓ Peer-reviewed alzhub usefulness score 72 out of 100. Neurology 2024-07-10

We demonstrated significant elevations in blood GFAP and YKL-40 levels in patients on the AD continuum compared with CU individuals. 5 key findings →

Design: systematic review Participants: 3,366 Evidence: high

Cerebral accumulation of amyloid-β is thought to be the starting mechanism in Alzheimer's disease. 4 key findings →

Design: longitudinal study Participants: 437 Evidence: moderate

SNAP-25 and 14-3-3 zeta/delta also had the strongest associations with tau-PET, amyloid-β-PET and cortical thickness at baseline and were associated with longitudinal changes in these imaging biomarkers [β(standard error, SE) = -0.056(0.0006) to 0.058(0.005), P < 0.0001]. 3 key findings →

Design: longitudinal study Participants: 205 Evidence: moderate

Sleep deprivation and cerebrospinal fluid biomarkers for Alzheimer's disease

✓ Peer-reviewed alzhub usefulness score 72 out of 100. Sleep 2018-05-01

Study objectives To investigate the cumulative effect of five consecutive nights of partial sleep deprivation (PSD) on a panel of cerebrospinal fluid (CSF) biomarkers in healthy adults. 1 key finding →

Participants: 13 Evidence: high

At present we cannot recommend CSF NfH and NfL levels for use as a screening test in the diagnosis of dementia because of the rather small effect size. 2 key findings →

Design: systematic review Participants: 818 Evidence: high

Serum GFAP levels correlate with astrocyte reactivity, post-mortem brain atrophy and neurofibrillary tangles

✓ Peer-reviewed alzhub usefulness score 71 out of 100. Brain 2024-05-03

The main findings demonstrated an association between serum GFAP level and post-mortem tau pathology (β = 12.85; P < 0.001) that was independent of amyloid deposits (β = 13.23; P = 0.02). 5 key findings →

Design: cohort Participants: 139 Evidence: moderate

The mean (SD) age of the 842 participants in cohort 1 was 72 (5.6) years, with a range of 59 to 88 years, and 446 (52.5%) were female. 3 key findings →

Design: cross-sectional Participants: 842 Evidence: moderate

We evaluated the performance of CSF biomarkers for predicting risk of clinical decline and conversion to dementia in non-demented patients with cognitive symptoms. 4 key findings →

Design: longitudinal study Participants: 619 Evidence: moderate

Analyses measured the associations between predictor variables and the memory score, and whether AT(N) biomarker profiles significantly improved prediction of memory z score rates of change beyond a model with clinical and genetic variables only. 3 key findings →

Design: cohort study Participants: 480 Evidence: moderate

Of 6256 participants (3402 women [54.4%]; mean [SD] age at baseline, 61.7 [6.6] years), 510 received an all-cause dementia diagnosis within 17 years of baseline. 3 key findings →

Design: cohort study Participants: 766 Evidence: moderate

Overall, 2,277 individuals had at least 1 baseline blood biomarker available (n = 357 for CSF subsample, n = 649 for PET subsample), among whom 257 were diagnosed with clinical AD/mixed dementia during follow-up. 2 key findings →

Design: prospective cohort Participants: 357 Evidence: moderate

We analyzed 1,240 MRIs from 473 patients (age: 69.2 ± 7.4 [range: 49-87]; 32.8% women). 2 key findings →

Design: cohort study Participants: 1,240 Evidence: moderate

These data support the use of cNfL as a biomarker of neuroaxonal damage and indicate that age-specific and sex-specific (and in some cases disease-specific) reference values may be needed. 4 key findings →

Participants: 2,795 Evidence: moderate

Higher eGFR was associated with increased levels of plasma p-tau217, p-tau181, Tau212-221, and Tau181-190 in individuals with cognitive impairment (cohort 1: R range, -0.24 to -0.59; P Conclusions and relevance In this study, CKD was associated with increased plasma levels of soluble tau, but for p-tau217 the associations were considerably lower than the association with Aβ positivity. 4 key findings →

Design: cross-sectional Participants: 141 Evidence: moderate

Disease staging of Alzheimer's disease using a CSF-based biomarker model

✓ Peer-reviewed alzhub usefulness score 69 out of 100. Nature aging 2024-03-21

Biological staging of individuals with Alzheimer's disease (AD) may improve diagnostic and prognostic workup of dementia in clinical practice and the design of clinical trials. 4 key findings →

Design: longitudinal study Participants: 426 Evidence: moderate

Core cerebrospinal fluid biomarker profile in cerebral amyloid angiopathy: A meta-analysis

✓ Peer-reviewed alzhub usefulness score 69 out of 100. Neurology 2018-01-31

We systematically searched PubMed for eligible studies reporting data on CSF biomarkers reflecting amyloid precursor protein metabolism (Aβ42, Aβ40), neurodegeneration (t-tau), and tangle pathology (p-tau) in symptomatic sporadic CAA cohorts vs controls and patients with Alzheimer disease (AD). 4 key findings →

Design: meta-analysis Participants: 59 Evidence: high

Increasing evidence suggests an important role of liver function in the pathophysiology of Alzheimer disease (AD). 4 key findings →

Design: cohort study Participants: 1,581 Evidence: moderate

Core CSF Biomarker Profile in Cerebral Amyloid Angiopathy: Updated Meta-Analysis

✓ Peer-reviewed alzhub usefulness score 69 out of 100. Neurology 2024-09-13

There is a clear need to characterize and validate molecular biomarkers of cerebral amyloid angiopathy (CAA), in an effort to improve diagnostics, especially in the context of patients with Alzheimer disease (AD) receiving immunotherapies (for whom underlying CAA is the driver of amyloid-related imaging abnormalities). 4 key findings →

Design: meta-analysis Participants: 289 Evidence: high

From across this tag

10 of the 905 studies in this tag that have a study page, 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.

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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 28,580 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.

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 28,580 records, built mostly from automated pulls of Europe PMC (62.2% of the library) and OpenAlex (17.8%), 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 (3.6% 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