54/100
✓ Peer-reviewed
alzhub usefulness score 54 out of 100.
·
Neuropsychology
·
2013-11-04
This study does not support a protective effect of bilingualism on age-related cognitive decline or the development of dementia. 4 key findings →
Participants: 1,067
Evidence: moderate
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These results add to the body of evidence on the adverse impact of ambient air pollution on cognitive aging and brain health and provide new insights into the genetic and behavioral factors that may impact individual susceptibility. 4 key findings →
Participants: 4,821
Evidence: low
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54/100
✓ Peer-reviewed
alzhub usefulness score 54 out of 100.
·
BMC public health
·
2009-10-21
Apparent better health in Daxing might be explained by under-diagnosis, under-reporting or selective mortality. 3 key findings →
Design: cross-sectional
Participants: 1,002
Evidence: low
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Immigrant status may have complex effects on dementia risk. 5 key findings →
Design: cross-sectional
Participants: 7,609
Evidence: low
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In the field of neurodegeneration, speech and language assessments are useful for diagnosing aphasic syndromes and for characterizing other disorders. 1 key finding →
Evidence: low
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TM was associated with higher odds of 30-day readmission (OR = 1.07 [CI: 1.02 to 1.12]) and frequent hospitalizations (OR = 1.10 [CI: 1.06 to 1.14]) compared to MA. 5 key findings →
Design: case-control study
Participants: 36,656
Evidence: moderate
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54/100
✓ Peer-reviewed
alzhub usefulness score 54 out of 100.
·
JAMA Network Open
·
2023-05-24
An estimated 2 971 449 individuals (mean age, 66.4 years; 95% CI, 64.8-68.2 years) filled prescriptions for OAB medications in 2019; 2 185 214 (73.5%; 95% CI, 62.6%-84.5%) identified as female, 2 326 901 (78.3%; 95% CI, 66.3%-90.3%) self-identified as non-Hispanic White, 260 685 (8.8%; 95% CI, 5.0%-12.5%) identified as non-Hispanic Black, 167 210 (5.6%; 95% CI, 3.1%-8.2%) identified as Hispanic, 158 507 (5.3%; 95% CI, 2.3%-8.4%) identified as non-Hispanic other race, and 58 147 (2.0%; 95% CI, 0.3%-3.6%) identified as non-Hispanic Asian. 5 key findings →
Design: cross-sectional
Participants: 449
Evidence: low
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54/100
✓ 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
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54/100
✓ 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
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This diverse sample of Indigenous (1.65%), Black (11.43%), Hispanic (9.85%), and White (77.07%) older adults had a mean age of 61 (SD = 9.66) and was 52% female. 4 key findings →
Design: longitudinal study
Participants: 27,327
Evidence: moderate
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The study cohort comprised a total of 6108 individuals diagnosed with AD dementia during the study period (28.4% males and 71.6% females). 5 key findings →
Participants: 6,108
Evidence: moderate
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54/100
✓ Peer-reviewed
alzhub usefulness score 54 out of 100.
·
BMC medicine
·
2025-01-13
Since older adults spend significant time in their neighborhood environment, environmental factors such as neighborhood socioeconomic disadvantage, high racial segregation, low healthy food availability, low access to recreation, and minimal social engagement may have adverse effects on cognitive function and increase susceptibility to dementia. 5 key findings →
Participants: 542
Evidence: low
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In comparison to counties with the lowest AL penetration, high-penetration counties had higher high school and college education attainment (mean 25.3% vs 18.5%) and median annual income ($56,000 vs $46,800), and lower poverty (12.8% vs 17.3%) and unemployment rates (3.9% vs 5.1%). 5 key findings →
Participants: 1,000
Evidence: low
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Bivariate analyses indicated that nonmetro dementia caregivers were less racially/ethnically diverse (82.7% White, non-Hispanic) and more were spouses/partners (20.2%) than their metro counterparts (66.6% White, non-Hispanic; 13.3% spouses/partners). 5 key findings →
Participants: 808
Evidence: low
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The sample included 993 decedents with dementia (81.4% white; 11.0% black, 7.6% hispanic). 5 key findings →
Participants: 993
Evidence: low
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As indicated by Cox regression modeling, dementia risk of low-educated individuals was not significantly different between ethnic groups but was related to having an APOE e4 allele (hazard ratio [HR] 1.89), depression (HR 1.67), stroke (HR 1.60), and smoking (HR 1.32). 3 key findings →
Participants: 819
Evidence: low
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In total, 740 proteins were identified of which, 25 differentially-expressed proteins in AD came from comparisons within a single racial and ethnic background group. 5 key findings →
Participants: 113
Evidence: moderate
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Minoritized individuals had lower scores and/or greater likelihood of impairment on measures of lexical retrieval, processing speed, cognitive flexibility, and working memory but not global cognition, verbal recall, attention, and category fluency. 5 key findings →
Participants: 56
Evidence: low
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NH Black and Hispanic beneficiaries with dementia had higher disease course Medicare expenditures than NH Whites. 1 key finding →
Design: cohort
Evidence: moderate
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The reasons for these differences remain unclear. 1 key finding →
Design: longitudinal study
Evidence: moderate
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Vascular contributions to cognitive impairment and dementia (VCID) are characterized by the aging neurovascular unit being confronted with and failing to cope with biological insults due to systemic and cerebral vascular disease, proteinopathy including Alzheimer's biology, metabolic disease, or immune response, resulting in cognitive decline. 4 key findings →
Evidence: low
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The goal of this study was to determine the patient and caregiver characteristics associated with depression among caregivers of patients with dementia. 4 key findings →
Design: cross-sectional
Evidence: low
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Cross-sectional study, Health, Aging and Body Composition data (1999/2000). 2 key findings →
Design: cross-sectional
Evidence: low
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The finding of similar prevalence estimates for depression in men and women was not consistent with prior research that has shown a female predominance. 3 key findings →
Participants: 851
Evidence: low
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The finding of higher mortality and worse mobility for nonwhite patients with hip fractures highlights the need for more research on race/ethnicity disparities in hip fracture care. 3 key findings →
Participants: 2,692
Evidence: moderate
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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 30,580 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.