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Find studies

Showing 1–23 of 23 studies in Biomarkers in JAMA network open · 27,380 in the whole library · How the 0–100 score works

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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.

Across the cohorts, each 10-year increase in BAI was associated with a 39% higher risk of incident dementia (hazard ratio [HR], 1.39 [95% CI, 1.21-1.59]; P Conclusions and relevance In this IPD meta-analysis, a higher sleep EEG-based BAI was associated with a higher risk of incident dementia. 3 key findings →

Design: meta-analysis Participants: 7,105 Evidence: moderate

These findings suggest that this blood biomarker test could allow for distinguishing individuals with brain amyloid-positive PET findings from individuals with amyloid-negative PET findings and serve as an aid for Alzheimer disease diagnosis. 4 key findings →

Design: cohort study Participants: 249 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

Sixty consecutive patients with prodromal or mild AD were screened; 50 were randomized to gamma or sham tACS (mean [SD] age, 67.3 [7.8] years; 25 [50.0%] female and 25 [50.0%] male). 5 key findings →

Design: open-label trial Evidence: high

Plasma Phosphorylated Tau 217 and Incident Mild Cognitive Impairment and Dementia in Older Women

✓ Peer-reviewed alzhub usefulness score 69 out of 100. JAMA Network Open 2026-03-02

Among 2766 participants (mean [SD] age, 69.9 [3.8] years; 486 [17.9%] Black, 196 [7.1%] Hispanic, and 2007 [73.9%] White), 1311 developed the combined end point of MCI or dementia (849 participants with MCI and 752 participants with dementia). 5 key findings →

Design: cohort Participants: 2,766 Evidence: moderate

Data from 362 study participants were analyzed (mean [SD] age, 65.6 [7.9] years), of whom 152 (42.0%) were African American, 230 (63.5%) were women, and 189 (52.2%) had MCI. 4 key findings →

Design: case-control study Evidence: moderate

The sample included 4340 adults (mean [SD; range] age, 58.1 [1.1; 56-63] years; 2400 [55.3%] women); 630 (14.4%) were Black, 900 (20.7%) were Latinx, and 2610 (60.1%) were White. 5 key findings →

Design: cohort study Participants: 4,340 Evidence: moderate

In this cross-sectional study of plasma biomarkers by race and genetic ancestry, the results indicated that plasma p-tau181, Aβ40, and NFL were lower in African American individuals based on self-reported race but not genetic ancestry. 3 key findings →

Design: cross-sectional Participants: 617 Evidence: low

Cerebral Amyloid Angiopathy and Downstream Alzheimer Disease Plasma Biomarkers

✓ Peer-reviewed alzhub usefulness score 62 out of 100. JAMA network open 2025-05-01

Lobar CMB counts and the presence of CAA were associated with downstream AD plasma biomarkers, including p-tau217 (β = 0.12 [95% CI, 0.05-0.18] and 0.29 [95% CI, 0.12-0.47], respectively), GFAP (β = 0.07 [95% CI, 0.03-0.12] and 0.20 [95% CI, 0.09-0.31], respectively), and NfL (β = 0.07 [95% CI, 0.03-0.11] and 0.16 [95% CI, 0.06-0.25], respectively) with and without the mediation of Aβ uptake on PET (indirect effect: lobar CMBs-p-tau217, 59.8% [β = 0.07 (95% CI, 0.03-0.11)]; lobar CMBs-GFAP, 49.3% [β = 0.04 (95% CI, 0.01-0.06)]; lobar CMBs-NfL, 20.9% [β = 0.01 (95% CI, 0.01-0.03)]; CAA-p-tau217, 50.9% [β = 0.15 (95% CI, 0.06-0.24)]; CAA-GFAP, 39.2% [β = 0.08 (95% CI, 0.03-0.13)]; CAA-NfL, 19.2% [β = 0.03 (95% CI, 0.01-0.05)]). 4 key findings →

Design: cohort study Participants: 1,708 Evidence: moderate

These results suggest that plasma biomarkers can augment detection of preclinical AD among asymptomatic individuals and improve the specificity of AD diagnosis. 1 key finding →

Design: cross-sectional Participants: 746 Evidence: low

Plasma Biomarkers of Alzheimer Disease in Women With and Without HIV

✓ Peer-reviewed alzhub usefulness score 60 out of 100. JAMA network open 2023-11-01

These findings suggest that increases in certain plasma AD biomarkers are associated with NP in WLWH and WLWOH and may be associated with later onset of AD, and measuring these biomarkers could be a pivotal advancement in monitoring aging brain health and development of AD among women with and without HIV. 5 key findings →

Design: cohort study Participants: 307 Evidence: moderate

Cardiovascular Health and Biomarkers of Neurodegenerative Disease in Older Adults

✓ Peer-reviewed alzhub usefulness score 59 out of 100. JAMA network open 2025-03-03

These findings suggest that promoting CVH in older adults may help alleviate the burden of neurodegenerative diseases, particularly among Black adults, who are known to experience a higher prevalence of cardiovascular disease. 5 key findings →

Design: cohort study Participants: 1,018 Evidence: moderate

Association of Sleep and β-Amyloid Pathology Among Older Cognitively Unimpaired Adults

✓ Peer-reviewed alzhub usefulness score 55 out of 100. JAMA network open 2021-07-01

Amyloid PET and sleep duration information was acquired on 4425 cognitively unimpaired participants (mean [SD] age, 71.3 [4.7] years; 2628 [59.4%] female; 1509 [34.1%] tested Aβ positive). 4 key findings →

Design: cross-sectional Evidence: low

Glial Fibrillary Acidic Protein and Neurofilament Light Reference Intervals in Healthy Individuals

✓ Peer-reviewed alzhub usefulness score 55 out of 100. JAMA Network Open 2026-05-14

In 7989 cognitively unimpaired participants (median [range] age, 54 [30-90] years; 4877 [61.3%] female; mean [SD] BMI, 25.9 [4.2]; mean [SD] eGFR, 80.7 [14.7] mL/min/1.73 m2), older age, lower BMI, and reduced kidney function were associated with increased NfL and GFAP concentrations; female sex was associated with increased GFAP concentrations. 5 key findings →

Design: cross-sectional Participants: 179 Evidence: low

Plasma Alzheimer Biomarkers and Diagnostic Decision-Making in Memory Clinics

✓ Peer-reviewed alzhub usefulness score 52 out of 100. JAMA Network Open 2026-08-03

Among 356 patients (79%) with AD as the primary suspected etiology, assessment of BBM classified 149 patients (42%) as high, 101 patients (28%) as intermediate, and 106 patients (30%) as low probability of AD. 5 key findings →

Design: cohort Participants: 450 Evidence: moderate

After disclosure, 27 patients with amyloid-positive SCD+ (median [IQR] age, 70 [66-74] years; gender: 14 men [52%]; median [IQR] education: 15 [13 to 17] years, median [IQR] Mini-Mental State Examination [MMSE] score, 29 [28 to 30]) had higher median (IQR) IES-R total score (10 [2 to 14] vs 0 [0 to 2]; P Conclusions and relevance The disclosure of a positive amyloid-PET result to patients with SCD+ was associated with a bigger psychological change, yet such change did not reach the threshold for clinical concern. 5 key findings →

Participants: 27 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
  • 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