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Find studies

Showing 26–50 of 54 studies by Shaw LM · tagged Biomarkers (page 2 of 3) · 31,380 in the whole library · How the 0–100 score works

Download bibliography of these 54 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.

Longitudinal change in CSF Tau and Aβ biomarkers for up to 48 months in ADNI

✓ Peer-reviewed alzhub usefulness score 55 out of 100. Acta neuropathologica 2013-06-29

The dynamics of cerebrospinal fluid (CSF) tau and Aβ biomarkers over time in Alzheimer's disease (AD) patients from prodromal pre-symptomatic to severe stages of dementia have not been clearly defined and recent studies, most of which are cross-sectional, present conflicting findings. 4 key findings →

Design: cross-sectional Evidence: moderate

Our study confirms a lack of suitability of CSF C3 and FH as diagnostic biomarkers of AD, but points to their modest potential as prognostic biomarkers and therapeutic targets in cognitively impaired patients. 2 key findings →

Design: longitudinal study Evidence: moderate

In this real-world dataset, we identified effects of multimorbidities on plasma biomarkers, especially kidney function. 2 key findings →

Design: cross-sectional Participants: 617 Evidence: moderate

Alzheimer's disease (AD) features a dynamic sequence of amyloid deposition, neurodegeneration, and cognitive impairment. 3 key findings →

Design: longitudinal study Evidence: moderate

Cerebrospinal fluid and positron emission tomography biomarkers accurately predict an underlying Alzheimer's disease (AD) pathology; however, they represent either invasive or expensive diagnostic tools. 1 key finding →

Design: cross-sectional Evidence: moderate

Linear models showed that plasma GFAP was significantly higher in αSyn+AD compared to αSyn (β = 0.31, 95% CI = 0.065-0.56, and P = 0.015), after covarying for age at plasma, plasma-to-death interval, and sex; plasma p-tau 181 was not (P = 0.37). 4 key findings →

Participants: 19 Evidence: low

Immunoassays of total tau (t-tau), tau phosphorylated at threonine 181 (p-tau(181)), and beta-amyloid 1-42 (Abeta(42)) concentrations were performed in CSF obtained from participants in the Alzheimer's Disease Neuroimaging Initiative. 4 key findings →

Participants: 195 Evidence: low

Qualification of the analytical and clinical performance of CSF biomarker analyses in ADNI

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Acta neuropathologica 2011-02-11

To account for the combined effects on overall precision of CSF samples (fixed effect), different laboratories and analytical runs (random effects), these data were analyzed by mixed-effects modeling with the following results: within center %CV 95% CI values (mean) of 4.0-6.0% (5.3%) for CSF Aβ(1-42); 6.4-6.8% (6.7%) for t-tau and 5.5-18.0% (10.8%) for p-tau(181) and inter-center %CV 95% CI range of 15.9-19.8% (17.9%) for Aβ(1-42), 9.6-15.2% (13.1%) for t-tau and 11.3-18.2% (14.6%) for p-tau(181). 3 key findings →

Evidence: moderate

CSF beta-amyloid 1-42 - what are we measuring in Alzheimer's disease?

✓ Peer-reviewed alzhub usefulness score 47 out of 100. Annals of clinical and translational neurology 2014-12-19

CSF susAβ levels are influenced by biological and technical factors, and may represent a marker of Aβ susceptible to lipoprotein-mediated clearance. 1 key finding →

Participants: 69 Evidence: low

The poor correlations for Aβ42 in plasma might have several potential explanations, such as the high levels of plasma proteins (compared to CSF), sensitivity to pre-analytical sample handling and specificity, and cross-reactivity of different antibodies. 2 key findings →

Evidence: low

The current study tested the accuracy of primary MRI and cerebrospinal fluid (CSF) biomarker candidates and neuropsychological tests for predicting the conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) dementia. 1 key finding →

Participants: 81 Evidence: low

Novel CSF biomarkers for Alzheimer's disease and mild cognitive impairment

✓ Peer-reviewed alzhub usefulness score 47 out of 100. Acta neuropathologica 2010-03-16

Altered levels of cerebrospinal fluid (CSF) peptides related to Alzheimer's disease (AD) are associated with pathologic AD diagnosis, although cognitively normal subjects can also have abnormal levels of these AD biomarkers. 3 key findings →

Participants: 25 Evidence: low

Cerebrospinal fluid values of total tau (T-tau) and β-amyloid 1-42 (Aβ 1-42) obtained using the Innotest enzyme-linked immunosorbent assay were transformed using a linear regression model to equivalent values obtained using the INNO-BIA AlzBio3 (xMAP; Luminex) assay. 4 key findings →

Evidence: low

Can MRI screen for CSF biomarkers in neurodegenerative disease?

✓ Peer-reviewed alzhub usefulness score 45 out of 100. Neurology 2012-12-26

Alzheimer disease (AD) and frontotemporal lobar degeneration (FTLD) may have overlapping clinical presentations despite distinct underlying neuropathologies, thus making in vivo diagnosis challenging. 4 key findings →

Participants: 185 Evidence: low

These findings suggest that CSF pTau/Aβ 40 may be a superior measure of tauopathy compared to CSF pTau alone, and CSF pTau/Aβ 40 enables detection of tau accumulation at an earlier stage than FTP among Aβ+ individuals. 3 key findings →

Evidence: low

Human Alzheimer and inflammation biomarkers after anesthesia and surgery

✓ Peer-reviewed alzhub usefulness score 44 out of 100. Anesthesiology 2011-10-01

The prevalence of postoperative cognitive disturbance, coupled with growing in vitro, cell, and animal evidence suggesting anesthetic effects on neurodegeneration, calls for additional study of the interaction between surgical care and Alzheimer neuropathology. 4 key findings →

Evidence: low

Cerebrospinal fluid (CSF) and structural magnetic resonance imaging (MRI) show patterns of change in Alzheimer's disease (AD) that precede dementia. 4 key findings →

Evidence: low

Measurement of Aβ in plasma contributes to addressing the amyloid component of the ATN (amyloid/tau/neurodegeneration) framework and could be a first step before or in place of a PET or cerebrospinal fluid screening study. 2 key findings →

Evidence: low

CSF biomarkers cutoffs: the importance of coincident neuropathological diseases

✓ Peer-reviewed alzhub usefulness score 40 out of 100. Acta neuropathologica 2012-04-22

The effects of applying clinical versus neuropathological diagnosis and the inclusion of cases with coincident neuropathological diagnoses have not been assessed specifically when studying cerebrospinal fluid (CSF) biomarker classification cutoffs for patients with neurodegenerative diseases that cause dementia. 3 key findings →

Evidence: low

Total tau (T-tau), tau phosphorylated at threonine 181, and β-amyloid 1-42 peptide (Aβ42) were immunoassayed in CSF samples obtained from patients with MCI enrolled in the Alzheimer's Disease Neuroimaging Initiative. 4 key findings →

Evidence: low

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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
  • Randomized / 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
  • Multicenter 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 31,380 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 31,380 records, built mostly from automated pulls of Europe PMC (65.6% of the library) and OpenAlex (16.2%), 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.

1,048 records (3.3% of the library) are not peer-reviewed — 973 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 →

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