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Find studies

Showing 1–25 of 40 studies with an author at UK Dementia Research Institute (GB) published 2026 (page 1 of 2) · 28,580 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.

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.

The double-cutoff approach revealed high confidence for interpreting scans as negative when Centiloid values were lower than 11 (95% CI, 9-13; I2 = 95%) and interpreting scans as positive if Centiloid values were higher than 26 (95% CI, 24-28; I2 = 95%). 3 key findings →

Design: meta-analysis Participants: 49,227 Evidence: high

Predicting onset of symptomatic Alzheimer's disease with plasma p-tau217 clocks

✓ Peer-reviewed alzhub usefulness score 70 out of 100. Nature medicine 2026-02-19

Predicting not just if, but also when, cognitively unimpaired individuals are likely to develop onset of Alzheimer's disease (AD) symptoms would be useful to clinical trials and, eventually, clinical practice. 2 key findings →

Design: cohort Participants: 603 Evidence: moderate

In the UGOT cohort, the optimal cutoff improved diagnostic accuracy compared with the standard single cutoff, particularly in CKD and anemia (CKD: from 0.65; 95% CI, 0.57-0.72; to 0.83; 95% CI, 0.76-0.89; anemia: from 0.80; 95% CI, 0.76-0.84; to 0.86; 95% CI, 0.82-0.90), with consistent findings in the Roche cohort. 4 key findings →

Design: cross-sectional Participants: 2,571 Evidence: moderate

It was not possible to demonstrate significant differences on the co-primary clinical endpoints (ADAS-cog 11 and ADCS-ADL 23 ) at 52 weeks due to symptomatic activity in the control arm. 5 key findings →

Design: phase-3-trial Participants: 598 Evidence: null result

Dementia diagnosis increasingly relies on blood-based biomarkers, yet their performance in diverse populations remains insufficiently characterized. 1 key finding →

Design: cross-sectional Participants: 605 Evidence: moderate

Collectively, plasma biomarker findings in the low p-tau217 subgroup were more robust than in the mITT population. 5 key findings →

Design: clinical trial Evidence: high

Blood-Based Analysis of Different Tau Variants in Patients With Multiple Traumatic Injuries

✓ Peer-reviewed alzhub usefulness score 55 out of 100. JAMA network open 2026-02-02

With blood-based phosphorylated tau biomarkers soon to be used for diagnosis of Alzheimer disease, analyzing tau levels in other conditions could enhance biomarker interpretability. 4 key findings →

Participants: 27 Evidence: moderate

Orexin, Sleep, and Cognition in Alzheimer Disease: Non-REM Oscillatory Activity and Neural Resilience

✓ Peer-reviewed alzhub usefulness score 52 out of 100. Neurology 2026-07-14

Sleep spindles (SPs) and slow oscillations (SOs) are linked to cognition and neurodegeneration; however, their relationship with CSF orexin concentrations in symptomatic AD has not been characterized. 4 key findings →

Design: cohort study Evidence: moderate

Plasma Phosphorylated Tau 217 in Participants at Risk for Chronic Traumatic Encephalopathy

✓ Peer-reviewed alzhub usefulness score 52 out of 100. JAMA network open 2026-07-01

In vivo biomarkers for detecting neuropathologies from repetitive head impacts (RHI), including chronic traumatic encephalopathy (CTE), are needed. 4 key findings →

Design: case-control study Participants: 231 Evidence: moderate

Microglia protein profiles in CSF across Alzheimer’s disease clinical stages

✓ Peer-reviewed alzhub usefulness score 51 out of 100. Nature Aging 2026-03-11

Microglia are implicated in the progression of Alzheimer's disease (AD) pathology from its earliest stages, suggesting that cerebrospinal fluid (CSF) microglia profiling across clinical AD stages can aid in treatment development and monitoring. 3 key findings →

Participants: 834 Evidence: low

Among the more than 90 identified genetic risk loci for late-onset Alzheimer's disease (AD) and related dementias, the apolipoprotein E (APOE) gene ɛ2/ɛ3/ɛ4 polymorphisms remain the longstanding benchmark for genetic disease risk with a consistently large effect across studies 1-10 . 5 key findings →

Design: case-control Evidence: high

15 years of longitudinal genetic, clinical, cognitive, imaging, and biochemical measures in DIAN

✓ Peer-reviewed alzhub usefulness score 50 out of 100. npj Dementia 2026-02-16

The Dominantly Inherited Alzheimer Network Observational Study (DIAN Obs) is a longitudinal, global cohort study investigating brain aging and autosomal dominant Alzheimer’s disease (ADAD), a rare monogenic form of Alzheimer’s disease (AD). 5 key findings →

Design: cohort study Evidence: moderate

Individuals with autosomal dominant Alzheimer's disease (ADAD) arising from mutations in PSEN1, PSEN2, or APP exhibit variability in clinical presentation. 4 key findings →

Participants: 2,338 Evidence: low

Our findings suggest that non-economic social deprivation, especially in terms of access to a grocery store, pharmacy, postal office, and bus stop, might be relevant for maintaining cognitive functioning in old age. 4 key findings →

Design: longitudinal study Participants: 91 Evidence: moderate

Blood-based biomarkers (BBMs) for Alzheimer disease (AD) offer widely expanded access to biomarker-informed diagnoses in community settings that have previously lacked such resources. 1 key finding →

Evidence: low

Plasma glial fibrillary acidic protein (GFAP) has emerged as a promising biomarker of astrocytic reactivity in preclinical Alzheimer´s Disease (AD). 4 key findings →

Participants: 143 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 28,580 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 28,580 records, built mostly from automated pulls of Europe PMC (62.2% of the library) and OpenAlex (17.8%), 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 (3.6% 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