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Find studies

Showing 1–25 of 40 studies in Vascular contributions published 2026 (page 1 of 2) · 27,780 in the whole library · How the 0–100 score works

Download bibliography of these 40 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 “Vascular contributions” covers

Vascular contributions — How blood vessel health, small-vessel disease and stroke risk contribute to dementia and cognitive decline.

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.

Life-Course Psychosocial Stress and Risk of Dementia and Stroke in Middle-Aged and Older Adults

✓ Peer-reviewed alzhub usefulness score 67 out of 100. JAMA Network Open 2026-01-28

Among 11 601 participants (mean [SD] age, 59.18 [9.41] years; 5569 male [48.0%]), 9145 (78.8%) were exposed to at least 1 ACE indicator, 4241 (36.6%) to at least 1 AAE indicator, and 3531 (30.4%) to both ACE and AAE markers. 5 key findings →

Design: cohort study Participants: 601 Evidence: moderate

The telmisartan group had the lowest risk of all dementias (telmisartan vs NT-ARB: hazard ratio [HR]: 0.78; 95% confidence interval [CI]: 0.60 to 1.01; telmisartan vs angiotensin-converting enzyme inhibitor: HR: 0.67; 95% CI: 0.48 to 0.94). 5 key findings →

Design: cohort study Participants: 39,665 Evidence: moderate

White matter hyperintensities (WMHs) are neuroimaging markers widely interpreted as caused by cerebral small vessel disease, yet emerging evidence suggests that a subset may have a neurodegenerative etiology. 1 key finding →

Participants: 32,526 Evidence: moderate

People with severe mental illnesses (SMIs), including schizophrenia spectrum disorders (SSD), major depressive disorder (MDD), and bipolar disorder (BD), experience elevated rates of physical comorbidity and premature mortality. 3 key findings →

Design: cross-sectional Participants: 694,086 Evidence: moderate

Non-modifiable (age, apolipoprotein E (APOE) ɛ4 genotype and sex) and modifiable risk factors (co-morbidities at baseline, such as hypertension and cardiovascular disease, BMI, and sleep duration) were analyzed with mixed-effects models, adjusted for age and sex, to predict longitudinal measurements of WMH, Aβ and tau. 5 key findings →

Design: longitudinal study Participants: 494 Evidence: moderate

Our aim is to examine the interplay between cerebral small vessel disease (CSVD) pathology, Alzheimer’s disease (AD) related amyloid-β (Aβ) clearance, and cognition in general population. 2 key findings →

Design: cross-sectional Participants: 1,026 Evidence: moderate

Considerable data support the presence of both systemic and CNS inflammation in SVD and VCID. 3 key findings →

Design: longitudinal study Evidence: moderate

Type 2 diabetes mellitus (T2DM) and major depressive disorder (MDD) are reciprocal risk factors, and both elevate dementia risk. 4 key findings →

Participants: 15,765 Evidence: low

Among 225 patients (mean age 65.4 years, 54.2% male), MCR prevalence was 16.4%. 5 key findings →

Design: cross-sectional Participants: 225 Evidence: low

Alzheimer's disease (AD) and vascular dementia (VaD) exhibit distinct neuropathological hallmarks, with AD defined by cortical amyloid plaques and neurofibrillary tangles, while VaD arises primarily from cerebrovascular disease (CeVD). 4 key findings →

Participants: 531 Evidence: moderate

They are often found in middle-aged individuals and are associated with a greater risk of stroke and vascular dementia. 5 key findings →

Participants: 1,072 Evidence: low

Individuals with msWMH showed systematic deficits in face-memory processing across encoding, maintenance, and retrieval, accompanied by reduced theta power and synchronization, altered alpha power, and disrupted theta-gamma coupling. 5 key findings →

Design: longitudinal study Evidence: moderate

Mercury remains a pervasive environmental neurotoxicant strongly implicated in hippocampal oxidative injury and dementia-related cognitive decline, yet safe multi-target agents against its neurotoxicity remain limited. 1 key finding →

Evidence: low

hexanucleotide repeat expansions (HRE) and WMH in bvFTD patients. bvFTD and svPPA are associated with elevated WMH burden independent of CVRF. 3 key findings →

Design: cross-sectional Evidence: low

MCI exhibited greater retinal tortuosity (p < 0.05) and sparser vasculature (p < 0.001), correlating with higher PSMD, WMH volumes, and adverse plasma biomarkers (all p < 0.05). 3 key findings →

Evidence: low

Each 1-SD increase in eGDR was significantly associated with a reduction in WMH volume (β = -0.057; 95% CI: -0.062 to -0.051; p 0.05). 3 key findings →

Participants: 34,789 Evidence: moderate

Individual biomarkers significantly predict decline across multiple cognitive domains. 5 key findings →

Evidence: low

Plasma Aβ levels and regional WMH burden are associated with glymphatic dysfunction as indicated by reduced ALPS. 3 key findings →

Participants: 216 Evidence: low

In part 1 of the study, the patients with CSVD showed significant differences in Montreal Cognitive Assessment (MoCA), Auditory Verbal Learning Test (AVLT)-study, AVLT-immediate, AVLT-delay, AVLT-recognition, Trail Making Test (TMT)-A, TMT-B, and Verbal Fluency Test -fruits/vegetables compared with HCs. 5 key findings →

Participants: 104 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