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Find studies

Showing 1–25 of 111 studies in Tau biomarkers of type cohort or longitudinal study (page 1 of 5) · 31,380 in the whole library · How the 0–100 score works

Download bibliography of these 111 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.

What “Tau biomarkers” covers

Tau biomarkers — Blood, spinal fluid and scan measures of tau protein, and how they track the disease.

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.

Baseline sleep disturbance was associated with a faster rate of longitudinal CSF Aβ42 decline. 4 key findings →

Design: longitudinal study Participants: 1,205 Evidence: moderate

Epigenetic Age and Resilience in the Framingham Heart Study

✓ Peer-reviewed alzhub usefulness score 74 out of 100. Neurology open access 2026-06-08

Independent of t-tau and TCBV, epigenetic age measures were associated with time to MCI, AD, and all-cause dementia and baseline cognition, but not with cognitive trajectories. 5 key findings →

Design: longitudinal study Participants: 2,606 Evidence: moderate

Midlife and Late-Life Alzheimer Disease Blood Biomarkers and 11-Year Cognitive Decline

✓ Peer-reviewed alzhub usefulness score 74 out of 100. Neurology 2026-10-16

Midlife p-tau181 was associated with faster 11-year memory decline beginning 20 years later in the ARIC cohort, which underscores a potentially long prodromal phase of cognitive decline that could precede dementia onset. 5 key findings →

Design: prospective cohort Participants: 920 Evidence: moderate

Three AD subtypes were identified. Subtype 1, enriched in RNA metabolism pathways, showed the mildest atrophy and slowest cognitive decline. 5 key findings →

Design: longitudinal study Participants: 550 Evidence: moderate

Whilst cerebrospinal fluid (CSF) and positron emission tomography (PET) biomarkers for amyloid-β (Aβ) and tau pathologies are accurate for the diagnosis of Alzheimer’s disease (AD), their broad implementation in clinical and trial settings are restricted by high cost and limited accessibility. 3 key findings →

Design: longitudinal study Participants: 1,000 Evidence: moderate

Lower CSF Aβ42, and higher t-tau/Aβ42 and p-tau/Aβ42 ratios were associated with BDI-II and BAI total scores, clinical depression (BDI-II ≥ 13), and clinical anxiety (BAI ≥ 10), as well as NPI-Q-assessed anxiety, apathy, and nighttime behavior. 3 key findings →

Design: cohort study Participants: 784 Evidence: moderate

Higher WMH volume was associated with older age, lower CSF amyloid-β levels, hypertension, and smoking history (all p ≤ 0.001), as well as cognitive status (MCI, p < 0.001; dementia, p = 0.008), but not with CSF tau levels. 5 key findings →

Design: longitudinal study Participants: 1,803 Evidence: moderate

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

An increased tau positron emission tomography (PET) signal in the medial temporal lobe (MTL) has been observed in older individuals in the absence of amyloid-β (Aβ) pathology. 4 key findings →

Design: cohort study Participants: 1,093 Evidence: moderate

The AD PRS model that was most predictive of AD diagnosis (even without APOE) was the liver AD PRS: n = 1,115; odds ratio = 2.15 (1.67-2.78), p = 3.62×10-9. 3 key findings →

Design: cohort study Participants: 1,115 Evidence: moderate

Relevance of Minor Neuropsychological Deficits in Patients With Subjective Cognitive Decline

✓ Peer-reviewed alzhub usefulness score 67 out of 100. Neurology 2023-10-11

This study included patients with clinical SCD and SCD-free, healthy control (HC) participants with available baseline CSF and/or longitudinal cognitive data from the observational DZNE Longitudinal Cognitive Impairment and Dementia study. 4 key findings →

Design: longitudinal study Participants: 672 Evidence: moderate

Alzheimer disease comorbid pathologic characteristics are common and are associated with more rapid cognitive decline in patients with dementia with Lewy bodies (DLB); therefore, it is anticipated that plasma p-tau concentrations may have utility in assessing cognitive impairment in individuals with this disorder. 4 key findings →

Design: cohort study Participants: 371 Evidence: moderate

The ε4 allele of apolipoprotein E (APOE) gene and increasing age are two of the most important known risk factors for developing Alzheimer disease (AD). 4 key findings →

Design: cohort study Participants: 1,593 Evidence: moderate

The causes of late onset Alzheimer disease (LOAD) are not known but several recent lines of evidence implicate the adaptive immune system. 3 key findings →

Design: longitudinal study Participants: 72 Evidence: moderate

Data from deformation-based magnetic resonance imaging morphometry demonstrated a Parkinson's disease-specific brain network had more atrophy in the diffuse malignant subtype, with the mild motor-predominant subtype having the least atrophy. 4 key findings →

Design: longitudinal study Participants: 223 Evidence: moderate

Among participants with CDR 0 (n = 259), those with amyloid (A+) and/or tau pathology (T+, N+) showed similar performance on most cognitive tests compared to participants with A-T-N-. 5 key findings →

Design: cohort study Participants: 316 Evidence: moderate

The utility of plasma total tau level as a prognostic marker for cognitive decline and dementia is not well understood. 4 key findings →

Design: cohort study Participants: 458 Evidence: moderate

The temporal evolutions and relative orderings of Alzheimer disease biomarkers, including CSF amyloid-β42 (Aβ42), Aβ40, total tau (Tau) and phosphorylated tau181 (pTau181), standardized uptake value ratio (SUVR) from the molecular imaging of cerebral fibrillar amyloid-β with PET using the 11C-Pittsburgh Compound-B (PiB), MRI-based hippocampal volume and cortical thickness and cognition have been hypothesized but not yet fully tested with longitudinal data for all major biomarker modalities among cognitively normal individuals across the adult lifespan starting from 18 years. 4 key findings →

Design: longitudinal study Participants: 2,609 Evidence: moderate

Identifying a clinical distinction between the invariably lethal prion disease Creutzfeldt-Jakob disease (CJD) and nonprion rapidly progressive dementias is important and sometimes difficult; thus, reliable tools for diagnosis are in great demand. 4 key findings →

Design: cohort study Participants: 30 Evidence: moderate

The amyloid/tau/neurodegeneration (A/T/N) framework uses cerebrospinal fluid (CSF) levels of total tau (tTau) as a marker of neurodegeneration and CSF levels of phosphorylated tau 181 (pTau181) as a marker of tau tangles. 4 key findings →

Design: cohort study Participants: 465 Evidence: moderate

This study aimed to examine whether baseline CSF measures of Alzheimer disease (AD)-related pathology are associated with the time to onset of mild cognitive impairment (MCI) and whether these associations differ by age, sex, Apolipoprotein E ( ApoE4 ) status, and proximal (≤7 years) vs distal (>7 years) time to symptom onset. 4 key findings →

Design: longitudinal study Participants: 273 Evidence: moderate

The trajectories of core Alzheimer disease (AD) cerebrospinal fluid (CSF) biomarkers and the concurrent cognitive changes across the clinical spectrum remain unclear yet are important for clinical trial design. 4 key findings →

Design: cohort study Participants: 197 Evidence: moderate

The Clinical Core of the Alzheimer's Disease Neuroimaging Initiative (ADNI) has provided clinical, operational, and data management support to ADNI since its inception. 5 key findings →

Design: longitudinal study Participants: 800 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
  • 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 →

Newest studies, as a dated timeline →    Atom feed    Where this research is being discussed: events