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Find studies

Showing 1,301–1,325 of 3,821 studies published 2025 (page 53 of 153) · 27,380 in the whole library · How the 0–100 score works

Download bibliography of the first 500 of these 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.

Among 52 participants recruited, 27 were former caregivers, 16 were current caregivers, and nine were persons with dementia; experiences reflected Alzheimer's (n = 18), sporadic Creutzfeldt-Jakob (n = 12), Lewy body (n = 7), and other dementias (n = 15). 5 key findings →

Participants: 18 Evidence: low

Cerebral small vessel disease (cSVD) is characterised by white matter hyperintensities (WMH) and contributes to stroke and dementia. 5 key findings →

Design: cross-sectional Participants: 60 Evidence: low

White matter hyperintensities (WMH) are neuroimaging markers linked to an elevated risk of cognitive decline. 2 key findings →

Participants: 60 Evidence: low

In 3413 participants (mean age: 59 ± 14 years, 53.4% women), 11% had prevalent CVD or AF, 8% had prevalent CVD, and 4% had prevalent AF. 5 key findings →

Participants: 3,413 Evidence: moderate

The primary outcome of this clinical trial is the change in the Vascular Dementia Assessment Scale-cognitive subscale from baseline to 12 months. 3 key findings →

Participants: 1,052 Evidence: high

Cerebral amyloid angiopathy (CAA) is a small vessel disease characterized by the deposition of amyloid-beta in small cerebral vessels, which can lead to intracerebral hemorrhages and cognitive impairment. 5 key findings →

Evidence: low

Peruvian validation and standardization of the TabCAT-brain health assessment

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Frontiers in public health 2025-08-29

By incorporating sex, place of residence, age, and years of education as covariates, the TabCAT-BHA demonstrated greater accuracy in detecting cognitive impairment (AUC = 75.3%) compared to the MMSE (AUC = 66.4%) and RUDAS (AUC = 71.4%). 3 key findings →

Evidence: low

This case suggests that mirtazapine may be beneficial in mitigating GLP-1 RA-induced gastrointestinal side effects, thereby improving adherence and therapeutic efficacy. 4 key findings →

Design: case report Evidence: low

BackgroundThere are 5.5 million people living with dementia in the United States (US), with the cost of unpaid care making up a significant portion of the care costs. 2 key findings →

Design: modelling Evidence: moderate

Current annual replacement cost of unpaid family care is between $96 and $182 billion, 44% of which is accounted for by dementia caregiving. 1 key finding →

Design: modelling Evidence: moderate

This study provided a preliminary examination of indices of obstructive sleep apsnea (OSA) and sleep disruptions in adults with Down syndrome (DS), and their associations with Alzheimer's disease (AD) pathology and symptomatology. 3 key findings →

Design: longitudinal study Participants: 93 Evidence: moderate

Demonstrated utility of the mCRT warrants further investigation into comparisons between the A and B versions, free versus cued recall and changes in performance over time to better understand sensitivity for tracking memory decline over time based on age and AD clinical status. 5 key findings →

Design: longitudinal study Participants: 272 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