Disease-modifying drug use necessitates better Alzheimer disease (AD) detection. 4 key findings →
Design: cross-sectional Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
29,780 Alzheimer's and dementia studies in plain English, each scored out of 100.
Disease-modifying drug use necessitates better Alzheimer disease (AD) detection. 4 key findings →
Design: cross-sectional Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
The authors used mixed-effects growth models to examine longitudinal change in neuropsychological performance over a 4-year period among 197 individuals who were either normal or had mild cognitive impairment (MCI) at baseline. 4 key findings →
Design: longitudinal study Participants: 33 Evidence: moderate
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Fit of the models to the data was adequate for general cognitive performance (root mean squared error of approximation (RMSEA)=0.03; comparative fit index (CFI)=0.94; standardised root mean residual (SRMR)=0.05), language (RMSEA=0.02; CFI=0.95; SRMR=0.05) and good for memory (RMSEA=0.05; CFI=0.99; SRMR=0.02) and executive functioning (RMSEA=0.03; CFI=0.98; SRMR=0.03). 5 key findings →
Design: cohort study Participants: 5,878 Evidence: moderate
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baseline age = 79.6 years, 60.6% female. 5 key findings →
Design: systematic review Evidence: high
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This pilot trial aims to explore the feasibility of the trial, verify essential information of its efficacy and safety. 5 key findings →
Participants: 25 Evidence: high
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The concept of cognitive impairment intervening between normal ageing and very early dementia has been in the literature for many years. 1 key finding →
Evidence: low
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During follow-up, 13 healthy patients converted to MCI or Alzheimer disease (AD), whereas 39 MCI subjects converted to AD. 5 key findings →
Participants: 72 Evidence: low
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Alzheimer's disease (AD), the most common form of dementia, shares many aspects of abnormal brain aging. 2 key findings →
Participants: 195 Evidence: low
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As ascertained by several operational definitions, MCI is a heterogeneous entity at the population level but progresses to dementia at rates higher than in normal elderly individuals. 1 key finding →
Participants: 1,982 Evidence: moderate
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In a clinical sample, patients with nonamnestic MCI were more likely to develop DLB, and those with amnestic MCI were more likely to develop probable AD. 1 key finding →
Participants: 337 Evidence: moderate
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Diabetes and pre-diabetes substantially accelerate the progression from MCI to dementia, and anticipate dementia occurrence by more than 3 years in people with MCI. 3 key findings →
Participants: 302 Evidence: moderate
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We conclude that conversion rate from MCI to DSM-IIIR dementia was 21.9% over a period of 3 years. 4 key findings →
Design: longitudinal study Participants: 105 Evidence: moderate
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Insulin resistance and type 2 diabetes are associated with cognitive decline and increased risk for Alzheimer's disease (AD). 3 key findings →
Design: longitudinal study Participants: 264 Evidence: moderate
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Alternatively, lesser engagement in social activities may be a marker of impending cognitive decline in MCI. 1 key finding →
Design: cohort study Participants: 78 Evidence: moderate
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Advancing age is the focus of recent studies on familial and sporadic Alzheimer's disease (AD), suggesting a prolonged pre-clinical phase several decades before the onset of dementia symptoms. 3 key findings →
Design: systematic review Evidence: high
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Our study indicates that EEG can be used as a useful screening tool for the diagnosis and disease progression evaluation of MCI and AD. 2 key findings →
Participants: 890 Evidence: low
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Over 44 million people suffer from dementia around the world. 2 key findings →
Design: systematic review Evidence: high
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Among the 1665 AIBL participants (741 [44.5%] female) and 2029 ADNI participants (925 [45.6%] female), the mean (SD) age at first evaluation was 71.8 (7.1) years and 74.5 (6.7) years, respectively. 5 key findings →
Design: cohort study Evidence: moderate
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We observed high levels of missing data in most cognitive test items - on average 13% and as high as 65%. 5 key findings →
Design: longitudinal study Participants: 9,755 Evidence: moderate
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Self- and informant-reported ADL and IADL impairments were examined at overall and item levels. 3 key findings →
Design: longitudinal study Participants: 1,050 Evidence: moderate
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Among our participants, aMCI and VCIND demonstrated prevalence of 14.83% and 2.71%, respectively, and annual incidence (per 1000 person-years) of 69.6 and 10.6, respectively. 5 key findings →
Design: longitudinal study Participants: 2,051 Evidence: moderate
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We discovered a remarkable gender-specific difference in DEGs that distinguish P-MCI from S-MCI. 4 key findings →
Design: longitudinal study Participants: 28 Evidence: moderate
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CRS is associated with 9% poorer global cognitive function, while CRS treatment is associated with 8-9% improvements in processing speed and working memory. 5 key findings →
Design: meta-analysis Participants: 107,610 Evidence: high
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The diagnosis of Alzheimer's disease (AD) in patients with mild cognitive impairment (MCI) is limited because it is based on non-specific behavioral and neuroimaging findings. 3 key findings →
Design: longitudinal study Evidence: moderate
Full summary, score breakdown and related studies → Original source
Severity of cognitive impairment and race both influence plasma p-Tau 217 levels beyond race-associated differences in CSF p-Tau 181 . 4 key findings →
Participants: 113 Evidence: low
Full summary, score breakdown and related studies → Original source
10 of the 881 studies in this tag that have a study page, picked by a fixed rule (a hash of each study's address), not by score or date; each page of this list shows a different 10. The same 10 appear here every time.
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
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.
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 29,780 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.
This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 29,780 records, built mostly from automated pulls of Europe PMC (63.8% of the library) and OpenAlex (17.1%), 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.
1,037 records (3.5% of the library) are not peer-reviewed — 964 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 →