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Find studies

Showing 1–25 of 37 studies with an author at Johns Hopkins University (US) of type cross-sectional study (page 1 of 2) · 28,580 in the whole library · How the 0–100 score works

Download bibliography of these 37 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.

Sleep-disordered breathing, hypoxia, and risk of mild cognitive impairment and dementia in older women

✓ Peer-reviewed alzhub usefulness score 71 out of 100. JAMA 2011-08-01

Among older women, those with sleep-disordered breathing compared with those without sleep-disordered breathing had an increased risk of developing cognitive impairment. 4 key findings →

Design: cross-sectional Participants: 60 Evidence: low

More-severe diabetes (defined by higher HbA 1c and longer disease duration) but not prediabetes or less-severe diabetes was associated with smaller brain volumes and an increased burden of brain vascular pathology. 3 key findings →

Design: cross-sectional Participants: 1,713 Evidence: low

Association of hearing impairment with brain volume changes in older adults

✓ Peer-reviewed alzhub usefulness score 64 out of 100. NeuroImage 2014-01-09

Hearing impairment in older adults is independently associated in longitudinal studies with accelerated cognitive decline and incident dementia, and in cross-sectional studies, with reduced volumes in the auditory cortex. 5 key findings →

Design: cross-sectional Participants: 126 Evidence: moderate

Our findings suggest that poor olfaction is associated with multiple AD-related and other neurodegenerative processes. 5 key findings →

Design: cross-sectional Participants: 1,545 Evidence: moderate

We found no statistically significant difference in measures of WM injury by race and ethnicity after adjustment for cardiovascular risk factors and socioeconomic status. 5 key findings →

Design: cross-sectional Participants: 1,036 Evidence: low

We aimed to evaluate the link between severe hypoglycaemia and domain-specific cognitive decline, smaller brain volumes and dementia in adults with type 2 diabetes, which so far has been relatively poorly characterised. 4 key findings →

Design: cross-sectional Participants: 580 Evidence: low

These findings suggest an association of sHHV infection with white matter volume loss, attentional decline, and astrogliosis. 5 key findings →

Design: cross-sectional Participants: 119 Evidence: moderate

Although statin use might be less frequent in those with prevalent dementia, we found no association between statin use and subsequent onset of dementia or AD. 3 key findings →

Design: cross-sectional Participants: 4,895 Evidence: low

The number of older adults with dementia in the US and globally is projected to increase as a result of population aging and growth. 5 key findings →

Design: cross-sectional Participants: 16 Evidence: low

Many community-residing PWD and their caregivers have unmet dementia-related needs for care, services, and support. 4 key findings →

Design: cross-sectional Participants: 254 Evidence: low

Plasma sphingolipids have been shown to predict cognitive impairment and hippocampal volume loss, but there is little research in patients with Alzheimer's disease (AD). 4 key findings →

Design: cross-sectional Participants: 120 Evidence: moderate

There was no relation between the amount of NIH funding and the incidence, prevalence, or number of hospital days attributed to each condition or disease (P=0.82, P=0.23, and P=0.21, respectively). 4 key findings →

Design: cross-sectional Evidence: low

These plasma ceramides may be early indicators of AD progression. 3 key findings →

Design: cross-sectional Participants: 25 Evidence: low

Understanding Medicare: Hearing Loss and Health Literacy

✓ Peer-reviewed alzhub usefulness score 54 out of 100. Journal of the American Geriatrics Society 2020-08-03

Medicare beneficiaries with a little or a lot of trouble hearing had 18% (95% confidence interval [CI] odds ratio [OR] = 1.10-1.27) and 25% (95% CI OR = 1.07-1.47) increased odds of reporting greater difficulty with understanding Medicare, respectively, compared with those with no hearing trouble. 3 key findings →

Design: cross-sectional Participants: 10,510 Evidence: low

Of 65 participants (mean age = 79.4 years; women = 54%), 34% had dementia and 32% had CIND. 5 key findings →

Design: cross-sectional Participants: 65 Evidence: low

Economic Burden of Alzheimer Disease and Related Dementias by Race and Ethnicity, 2020 to 2060

✓ Peer-reviewed alzhub usefulness score 54 out of 100. JAMA Network Open 2025-06-05

Of 31 028 older adults in MEPS, 5184 (10%) were African American; 146 (<1%) American Indian or Alaska Native; 1043 (3%) Asian (Indian, Chinese, or Filipino); 5346 (10%) Latino; 690 (2%) Other Asian, Native Hawaiian, and Pacific Islander; and 18 617 (75%) were White. 5 key findings →

Design: cross-sectional Evidence: low

Compared to controls, mean CSF NPTX2 levels were lower in DS at all AD stages; aDS (0.6-fold, adj.p 0.07). 2 key findings →

Design: cross-sectional Participants: 49 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