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Find studies

Showing 1–21 of 21 studies with an author at University of California, San Francisco (US) · 31,380 in the whole library · How the 0–100 score works

Download bibliography of these 21 studies, in this order: BibTeX (.bib) · RIS (.ris)

Showing 21 studies tagged mini-mental — clear

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.

Patients with MCI with APOEε4, abnormal CSF τ level, hippocampal and medial temporal lobe atrophy, entorhinal atrophy, depression, diabetes, hypertension, older age, female gender, lower MMSE score and higher ADAS-cog score, had a high risk for the progression to AD. 1 key finding →

Design: meta-analysis Participants: 14,821 Evidence: high

Fifty-one AD patients enrolled, mean age 73.5. 4 key findings →

Design: clinical trial Evidence: high

Mild cognitive impairment (MCI) increases dementia risk with no pharmacologic treatment available. 4 key findings →

Evidence: high

In this cohort study of more than 350 000 veterans, even mild TBI without LOC was associated with more than a 2-fold increase in the risk of dementia diagnosis. 3 key findings →

Design: cohort study Participants: 178 Evidence: moderate

Early diagnosis of cognitive disorders in older adults is a major healthcare priority with benefits to patients, families, and health systems. 1 key finding →

Design: systematic review Evidence: high

Mild cognitive impairment due to Alzheimer disease in the community

✓ Peer-reviewed alzhub usefulness score 60 out of 100. Annals of neurology 2013-08-01

The NIA-AA criteria apply to most MCI subjects in both the community and clinical trials settings; however, a sizeable proportion of subjects had conflicting biomarkers, which may be very important and need to be explored. 2 key findings →

Design: longitudinal study Evidence: moderate

(n = 16,683) had an average age of 69.07 ± 7.34, 72.04% were female, and had an average of 16.66 ± 2.26 years of education. 5 key findings →

Design: longitudinal study Participants: 16,683 Evidence: moderate

Self- and Informant-Report Cognitive Decline Discordance and Mild Cognitive Impairment Diagnosis

✓ Peer-reviewed alzhub usefulness score 56 out of 100. JAMA Network Open 2025-04-18

ADNI participants (921 dyads) had a mean (SD) age of 71 (7) years and mean (SD) of 17 (3) years of education; 485 (53%) were female, 30 (3%) were Asian, 105 (11%) were Black, and 756 (82%) were White. eVAL participants (279 dyads) had a mean (SD) age of 71 (8) years and mean (SD) of 17 (2) years of education; 151 (54%) were female, 17 (6%) were Asian, 12 (4%) were Black, and 245 (88%) were White. 5 key findings →

Design: cross-sectional Participants: 921 Evidence: moderate

Memory impairment, but not cerebrovascular disease, predicts progression of MCI to dementia

✓ Peer-reviewed alzhub usefulness score 55 out of 100. Neurology 2004-07-01

Within a heterogenous group of MCI patients, including many with clinically significant CVD, baseline memory and executive performance significantly predicted likelihood to develop dementia. 5 key findings →

Evidence: low

Identifying clinical measures that track disease in the earliest stages of frontotemporal lobar degeneration (FTLD) is important for clinical trials. 4 key findings →

Participants: 31 Evidence: low

Prevalence and risk factors of mild cognitive impairment and dementia in northern Peru

✓ Peer-reviewed alzhub usefulness score 53 out of 100. Frontiers in Public Health 2025-05-21

According to the results, 31.4% of the sample consisted of subjects without cognitive impairment, 40.5% were identified as possible cases of MCI, and 24.9% as possible cases of dementia. 5 key findings →

Design: cross-sectional Participants: 385 Evidence: low

Memory, executive, and multidomain subtle cognitive impairment: clinical and biomarker findings

✓ Peer-reviewed alzhub usefulness score 52 out of 100. Neurology 2015-06-17

We studied the biomarker signatures and prognoses of 3 different subtle cognitive impairment (SCI) groups (executive, memory, and multidomain) as well as the subjective memory complaints (SMC) group. 4 key findings →

Participants: 522 Evidence: low

In the Alzheimer's disease (AD) continuum, the prodromal state of mild cognitive impairment (MCI) precedes AD dementia and identifying MCI individuals at risk of progression is important for clinical management. 4 key findings →

Evidence: low

Spatial cognition and the human navigation network in AD and MCI

✓ Peer-reviewed alzhub usefulness score 46 out of 100. Neurology 2007-09-01

The navigation disability in Alzheimer disease and mild cognitive impairment (MCI) involves a selective impairment of spatial cognition and is associated with atrophy of the right-lateralized navigation network. 4 key findings →

Evidence: low

Data on 1888 patients seen at Alzheimer's Disease Diagnostic and Treatment Centers in California were used to examine possible differences in Mini-Mental State Examination (MMSE) results for different racial-ethnic groups. 2 key findings →

Participants: 1,888 Evidence: low

Cerebrospinal fluid (CSF) and structural magnetic resonance imaging (MRI) show patterns of change in Alzheimer's disease (AD) that precede dementia. 4 key findings →

Evidence: low

Early detection of abnormal neurodegeneration amidst normal cognitive aging is crucial. 1 key finding →

Design: cross-sectional 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 31,380 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 31,380 records, built mostly from automated pulls of Europe PMC (65.6% of the library) and OpenAlex (16.2%), 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.

1,048 records (3.3% of the library) are not peer-reviewed — 973 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    Where this research is being discussed: events