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Find studies

Showing 1–16 of 16 studies matching “financial” in Disparities · 28,180 in the whole library · How the 0–100 score works

Download bibliography of these 16 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 “Disparities” covers

Disparities — Differences in dementia risk, diagnosis and care across race, ethnicity, income, geography and sex.

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.

Social exposome and brain health outcomes of dementia across Latin America

✓ Peer-reviewed alzhub usefulness score 60 out of 100. Nature Communications 2025-09-11

A multidimensional social exposome (MSE)-the combined lifespan measures of education, food insecurity, financial status, access to healthcare, childhood experiences, and more-may shape dementia risk and brain health over the lifespan, particularly in underserved regions like Latin America. 1 key finding →

Participants: 2,211 Evidence: low

Despite methodological inconsistency, supporting caregivers appears to be an effective strategy often improving well-being of caregiver or care-recipient and resulting in additional benefits for society. 1 key finding →

Design: systematic review Evidence: high

Wealth Disparities in End-of-Life Symptom Burden Among Older Adults

✓ Peer-reviewed alzhub usefulness score 54 out of 100. JAMA Network Open 2025-03-06

Of 8976 decedents (mean [SD] age, 81.3 [8.6] years; 4927 women [55.1%] women) in the cohort, 2197 (22.5%) were included in the low wealth category, 4534 (50.5%) in the medium wealth category, and 2245 (27.1%) in the high wealth category. 5 key findings →

Design: cohort study Evidence: moderate

As ADRD deaths at home increase, the need for caregiver support and home-based palliative care may become more critical. 5 key findings →

Design: cross-sectional Evidence: low

By 2060, ADRD cases in China are projected to reach approximately 49.89 million, with the highest prevalence and economic burden concentrated in provinces such as Shandong, Sichuan, Jiangsu, Henan, and Guangdong. 5 key findings →

Design: longitudinal study Evidence: moderate

Caregiving Burden Among Caregivers of People With Dementia Through the Lens of Intersectionality

✓ Peer-reviewed alzhub usefulness score 45 out of 100. The Gerontologist 2022-05-01

Surprisingly, compared to White female caregivers, all the other groups were 37% (95% CI 0.41-0.95) to 71% (95% CI 0.15-0.56) less likely to have emotional burden. 2 key findings →

Evidence: low

Using data from South Korea’s 2018 teleconsultation pilot program involving 1232 patients, the analysis revealed that teleconsultation reduced societal costs per consultation by USD 7.92 for chronic diseases, USD 27.30 for dementia care, and USD 9.61 for rehabilitation. 4 key findings →

Participants: 1,232 Evidence: low

We compared black (n = 33) and white (n = 119) caregivers of dementia patients on indices of adaptation, adjustment, and utilization of supportive services. 3 key findings →

Participants: 33 Evidence: low

Targeted interventions, as enhanced training and improved support systems, are essential to address these disparities and better support GPs. 2 key findings →

Design: cross-sectional Participants: 789 Evidence: low

Hispanics and Asians diagnosed with dementia had 40% lower mortality risk and African Americans had 13% lower mortality risk than Whites. 5 key findings →

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 28,180 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 28,180 records, built mostly from automated pulls of Europe PMC (61.7% of the library) and OpenAlex (18.1%), 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