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Find studies

Showing 276–300 of 408 studies with an author at University of Southern California (US) (page 12 of 17) · 28,980 in the whole library · How the 0–100 score works

Download bibliography of these 408 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.

How to efficiently move towards primary prevention in sporadic AD

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Alzheimer s & Dementia 2025-12-01

The findings from the AHEAD Study screening process and longitudinal data from the LEARN Study are providing critical data to guide future prevention trial design. 5 key findings →

Design: longitudinal study Participants: 1,000 Evidence: moderate

ARTS is associated with vascular risk factors, MCI, dementia, and stroke

✓ Peer-reviewed alzhub usefulness score 49 out of 100. Alzheimer s & Dementia 2025-06-30

Higher ARTS score was associated (all ps < 0.01) with incident MCI (hazard ratio [HR] = 1.29), dementia (HR = 1.33), and stroke (HR = 1.52) and with diastolic/systolic blood pressure, self-reported hypertension, claudication, congestive heart failure, smoking, and glomerular filtration rate in the combined sample. 5 key findings →

Participants: 707 Evidence: low

Cholesterol impairs autophagy-mediated clearance of amyloid beta while promoting its secretion

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Autophagy 2018-06-04

Macroautophagy/autophagy failure with the accumulation of autophagosomes is an early neuropathological feature of Alzheimer disease (AD) that directly affects amyloid beta (Aβ) metabolism. 4 key findings →

Evidence: low

Progranulin (PGRN) is predominantly expressed by microglia in the brain, and genetic and experimental evidence suggests a critical role in Alzheimer's disease (AD). 4 key findings →

Evidence: low

Subtype and Stage Inference (SuStaIn) is an unsupervised learning algorithm that uniquely enables the identification of subgroups of individuals with distinct pseudo-temporal disease progression patterns from cross-sectional datasets. 4 key findings →

Design: cross-sectional Evidence: low

Although epidemiological data associate hypertension with a strong predisposition to develop Alzheimer disease, no mechanistic explanation exists so far. 4 key findings →

Evidence: low

Clinical trials of anti-amyloid-β (Aβ) monoclonal antibodies in Alzheimer disease (AD) infer target engagement from Aβ positron emission tomography (PET) and/or fluid biomarkers such as cerebrospinal fluid (CSF) Aβ42/40. 2 key findings →

Evidence: moderate

Older age was associated with greater odds of abnormal p-Tau217 (odds ratio [OR] 1.08 per year, 95% CI 1.07–1.09), as was APOE ε4 carrier status (OR 3.32, 95% CI 2.65–4.17). 5 key findings →

Design: cross-sectional Participants: 2,798 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

Prior MR imaging studies, primarily at 1.5T, established hippocampal atrophy as a biomarker for Alzheimer disease. 3T MR imaging offers a higher contrast and signal-to-noise ratio, yet distortions and intensity uniformity are harder to control. 4 key findings →

Participants: 166 Evidence: low

Severity of psychiatric symptoms, behavioral disturbances, and patients' quality of life are the main correlates of caregivers' experience burden. 2 key findings →

Evidence: low

The poor generalizability of clinical research data due to the enrollment of highly educated, non-Latinx White participants hampers the development of therapies for Alzheimer's disease (AD). 1 key finding →

Evidence: low

Microglia affect Alzheimer's disease (AD) pathogenesis in opposing manners, by protecting against amyloid accumulation in early phases of the disease and promoting neuropathology in advanced stages. 4 key findings →

Evidence: low

Among TM enrollees, prevalence of dementia was lower by 4% points in 2014 (9.0%, 95%CI: 7.8%, 9.3%) compared to 2000 (13.0%, 95%CI: 12%, 14%). 5 key findings →

Design: cross-sectional Participants: 18,381 Evidence: low

ε4, socioeconomic status, physical activity, smoking, subjective cognitive decline, and various cardiovascular risk factors and comorbidities. 4 key findings →

Design: cross-sectional Evidence: moderate

The Centiloid method demonstrates strong intertracer and interscanner harmonization when standardized to the 11C-Pittsburgh compound B reference, with high correlation (r2 > 0.9) across 18F-labeled tracers, including florbetapir, flutemetamol, and florbetaben. 5 key findings →

Design: longitudinal study Evidence: moderate

A total of 30 variants were overrepresented in four pathways: presenilin/Alzheimer disease, cadherin/WNT signaling, gonadotropin-releasing hormone receptor, and transforming growth factor-β (TGF-β) signaling. 5 key findings →

Participants: 204 Evidence: low

All concurrent validity correlations followed the expected directionality, with 19/21 inter-scale correlations in the total sample reaching statistical significance (p<0.05), and 17/21 reaching at least a low correlation (0.3). 4 key findings →

Participants: 100 Evidence: low

These findings provide no evidence of a group-level Alzheimer-related p-tau217 elevation in young people with DSRD and support DSRD as a condition distinct from Alzheimer’s disease. 5 key findings →

Design: longitudinal study Participants: 132 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 28,980 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 28,980 records, built mostly from automated pulls of Europe PMC (62.8% of the library) and OpenAlex (17.6%), 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.

1,038 records (3.6% of the library) are not peer-reviewed — 966 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