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Find studies

Showing 1–25 of 138 studies in Biomarkers in Neurology (page 1 of 6) · 27,380 in the whole library · How the 0–100 score works

Browse by subject, author or institution

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

What “Biomarkers” covers

Biomarkers — Measurable signals in blood, brain scans or spinal fluid that can indicate Alzheimer's changes.

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

In participants with early symptomatic AD, zagotenemab failed to achieve significant slowing of clinical disease progression compared with placebo. 5 key findings →

Design: clinical trial Participants: 360 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

In the precuneus, we observed an inverted U-shaped pattern of novelty-related activity across groups, with higher activity in SCD and MCI compared with HC, but not in patients with AD who showed relatively lower activity than MCI. 3 key findings →

Design: longitudinal study Participants: 499 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

In DDI (n = 431), participants were classified as CN A-/T- (n = 169), A+/T- (CN = 26, MCI = 24), A+/T+ (CN = 40, MCI = 105), and A-/T+ (CN = 34, MCI = 33), with a mean age of 64.1 years and 55.9% female. 2 key findings →

Design: longitudinal study Participants: 431 Evidence: moderate

Quantitative Assessment of the Effect of Chronic Kidney Disease on Plasma P-Tau217 Concentrations

✓ Peer-reviewed alzhub usefulness score 69 out of 100. Neurology 2025-01-17

CKD was associated with increased p-tau217 concentrations when measuring p-tau217 by ALZpath and C 2 N methodologies, but the effect was mitigated by the use of %p-tau217. 5 key findings →

Design: cross-sectional Participants: 202 Evidence: moderate

Kidney Function, Alzheimer Disease Blood Biomarkers, and Dementia Risk in Community-Dwelling Older Adults

✓ Peer-reviewed alzhub usefulness score 68 out of 100. Neurology 2025-12-03

At baseline, 2,279 dementia-free participants with available blood samples were included (median age 72 (interquartile range, 61-81) years; 62% female). 4 key findings →

Design: cohort Participants: 2,279 Evidence: moderate

Multitracer model for staging cortical amyloid deposition using PET imaging

✓ Peer-reviewed alzhub usefulness score 68 out of 100. Neurology 2020-07-16

SUVr abnormality was most frequently observed in cingulate, followed by orbitofrontal, precuneal, and insular cortices and then the associative, temporal, and occipital regions. 1 key finding →

Design: longitudinal study Participants: 867 Evidence: moderate

The clinical diagnosis of probable AD dementia demonstrated good agreement with biologically defined AD (positive predictive value 85.2%). 3 key findings →

Design: cohort study Participants: 166 Evidence: moderate

In a community-based cohort of 70-year olds, P-NfL was associated with both prevalent and incident CKD, while CSF and/or imaging measures did not differ by CKD status. 3 key findings →

Design: cohort study Participants: 744 Evidence: moderate

Our study suggests a possible utility of plasma Aβ42/40, P-tau181, and P-tau231 as a noninvasive biomarkers to assess amyloid copathology in DLB, and plasma GFAP and NfL as monitoring biomarkers for cognitive symptoms in DLB. 4 key findings →

Design: cohort study Participants: 89 Evidence: moderate

Biomarker pattern of ARIA-E participants in phase 3 randomized clinical trials with bapineuzumab

✓ Peer-reviewed alzhub usefulness score 68 out of 100. Neurology 2018-02-02

Baseline biomarkers largely do not predict risk for developing ARIA-E. ARIA-E was associated with significant longitudinal changes in several biomarkers, with larger reductions in amyloid PET and CSF p-tau and t-tau concentrations, and paradoxically greater hippocampal volume reduction and ventricular enlargement, suggesting that ARIA-E in bapineuzumab-treated cases may be related to increased Aβ efflux from the brain and affecting downstream pathogenic processes. 4 key findings →

Design: longitudinal study Participants: 1,512 Evidence: moderate

Evaluating Plasma p-tau217 as an Endpoint for Alzheimer Disease Clinical Trials

✓ Peer-reviewed alzhub usefulness score 68 out of 100. Neurology 2025-12-09

A total of 716 individuals were included in the analysis: 413 cognitively unimpaired (CU) participants (58.6% female; mean age = 70.6 years, SD = 7.9) and 303 cognitively impaired (CI) participants (54.7% female; mean age = 73.2 years, SD = 7.4). 5 key findings →

Design: longitudinal study Participants: 716 Evidence: moderate

Validation of Plasma Amyloid-β 42/40 for Detecting Alzheimer Disease Amyloid Plaques

✓ Peer-reviewed alzhub usefulness score 67 out of 100. Neurology 2021-12-14

Plasma Aβ42/Aβ40 is a robust measure for detecting amyloid plaques and can be utilized to aid in the diagnosis of AD, identify those at risk for future dementia due to AD, and improve the diversity of populations enrolled in AD research and clinical trials. 3 key findings →

Participants: 465 Evidence: moderate

Most neuroinflammatory CSF biomarkers were associated with WML in individuals without dementia. 5 key findings →

Design: longitudinal study Participants: 247 Evidence: moderate

Biomarkers were measured in 431 Black and 583 White participants (mean age of 77 and 80 years and 17% and 21% of men, respectively), generating a balanced sample of 366:366. 3 key findings →

Design: cohort Participants: 1,014 Evidence: moderate

Longitudinal Changes in Blood Biomarkers of Clinical Alzheimer Disease in a Biracial Population Sample

✓ Peer-reviewed alzhub usefulness score 66 out of 100. Neurology 2022-11-29

Blood biomarkers showed significant longitudinal changes corresponding to cognitive decline, clinical AD, and structural MRI characteristics. 5 key findings →

Design: longitudinal study Participants: 1,327 Evidence: moderate

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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 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