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Find studies

Showing 1–14 of 14 studies with an author at National Yang Ming Chiao Tung University (TW) · 27,780 in the whole library · How the 0–100 score works

Download bibliography of these 14 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.

Asundexian for Secondary Stroke Prevention

✓ Peer-reviewed alzhub usefulness score 68 out of 100. New England Journal of Medicine 2026-04-15

Among 12,327 patients who underwent randomization (6162 to the asundexian group and 6165 to the placebo group), the incidence of ischemic stroke was lower in the asundexian group than in the placebo group (6.2% vs. 8.4%; cause-specific hazard ratio, 0.74; 95% confidence interval [CI], 0.65 to 0.84; P<0.001). 5 key findings →

Design: clinical trial Participants: 12,327 Evidence: low

The present findings provide evidence of the benefits of NIBS, especially tDCS, for beneficial effect on cognition in patients with AD. 3 key findings →

Design: meta-analysis Participants: 12 Evidence: high

Ageing and a sedentary lifestyle are associated with declines in muscle function and cardiorespiratory fitness, resulting in an impaired capacity to perform daily activities and maintain independent functioning. 2 key findings →

Evidence: high

ALPS-index may provide useful disease progression or treatment biomarkers for patients with AD as an indicator of modulation of glymphatic activity. 1 key finding →

Participants: 50 Evidence: low

Significant interactions between amyloid status and modifiable risk factors were observed for diabetes (adjusted β = -0.206, p = 0.032), high cholesterol (adjusted β = -0.155, p < 0.001), and physical inactivity (adjusted β = -0.161, p = 0.046), indicating combined effects rather than additive effects on cognitive decline among Aβ+ individuals. 5 key findings →

Design: cohort study Participants: 1,707 Evidence: moderate

Critical appraisal will not be undertaken, as it is optional in scoping reviews and is not aligned with the primary mapping objectives of this review. 5 key findings →

Design: meta-analysis Evidence: high

Alzheimer's disease (AD) is a complex and progressive neurodegenerative disorder with a continuum of stages ranging from preclinical/asymptomatic phase to severe dementia. 1 key finding →

Evidence: low

= 0.005). Cox regression analysis revealed that polypharmacy was significantly associated with a reduced risk of MCI progression to dementia (hazard ratio [HR] = 0.49, 95% confidence interval [CI]: 0.31 to 0.78) after adjusting for covariates. 5 key findings →

Design: cohort study Evidence: moderate

The three cognitive assessment tools were valid for detecting subjects with MCI or dementia according to ROC analysis. 5 key findings →

Design: cross-sectional Participants: 1,090 Evidence: low

Mild cognitive impairment (MCI) is an early stage of non-age-related cognitive decline with an increased risk of progressing to dementia. 4 key findings →

Evidence: low

Amyloid‐reactive T cell polyfunctional response distinguishes MCI from normal aging and could serve as a novel MCI biomarker. 4 key findings →

Evidence: moderate

Integrating EEG features with plasma biomarkers improves prediction of cognitive function from mild cognitive impairment to moderate dementia, pending external validation. 1 key finding →

Participants: 75 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 27,780 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 27,780 records, built mostly from automated pulls of Europe PMC (61.1% of the library) and OpenAlex (18.3%), 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 (3.7% 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