Accumulation of β-amyloid protein (Aβ) and tau protein is the main feature of Alzheimer disease neuropathogenesis. 4 key findings →
Participants: 35 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
27,780 Alzheimer's and dementia studies in plain English, each scored out of 100.
Accumulation of β-amyloid protein (Aβ) and tau protein is the main feature of Alzheimer disease neuropathogenesis. 4 key findings →
Participants: 35 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
This study provides a comprehensive review of the last 10 years of research on neuroinflammation and AD, including the number and impact of research findings, research hotspots, and future trends. 2 key findings →
Design: systematic review Participants: 3,833 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Plasma BACE1 activity is significantly increased in MCI converters and patients with probable AD. 5 key findings →
Participants: 96 Evidence: low
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Plasma-based biomarkers would be potential biomarkers for early diagnosis of Alzheimer's disease (AD) because they are more available and cost-effective than cerebrospinal fluid (CSF) or neuroimaging. 4 key findings →
Design: cross-sectional Participants: 185 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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Accumulating >300 min/week of MVPA, whether concentrated within 1-2 days or distributed evenly across the week, was associated with a decreased risk of dementia. 4 key findings →
Design: cohort Participants: 91,512 Evidence: moderate
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Butylphthalide may restore abnormal organization in structural networks of patients with MCI due to AD, and baseline network metrics could be predictive markers for therapeutic efficacy of butylphthalide. 4 key findings →
Participants: 270 Evidence: low
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With advances in knowledge disease, boundaries may change. 1 key finding →
Evidence: low
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It could be of great improvement for the use of the MMSE in dementia screening in Chinese elderly population. 1 key finding →
Design: cross-sectional Participants: 9,629 Evidence: low
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Mental symptoms have been shown to be associated with dementia. 4 key findings →
Design: longitudinal study Evidence: moderate
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The prevalences of overall MCI, MCI-A, MCI-CVD, MCI-VRF, and MCI-O were 20.8% (95% confidence interval [CI] = 20.0-21.6%), 6.1% (95% CI = 5.7-6.6%), 3.8% (95% CI = 3.4-4.2%), 4.9% (95% CI = 4.5-5.4%), and 5.9% (95% CI = 5.5-6.4%) respectively. 2 key findings →
Participants: 10,276 Evidence: low
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Precision medicine for Alzheimer's disease (AD) necessitates the development of personalized, reproducible, and neuroscientifically interpretable biomarkers, yet despite remarkable advances, few such biomarkers are available. 1 key finding →
Participants: 716 Evidence: low
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It has been well established that the TMEM106B gene rs1990622 variant was a frontotemporal dementia (FTD) risk factor. 4 key findings →
Participants: 314,278 Evidence: low
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ApoE isoforms influence mitochondrial structure and function, which likely leads to alteration in oxidative stress, synapses, and cognitive function. 3 key findings →
Participants: 21 Evidence: low
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Alzheimer disease (AD) is one of the most common diseases among the older adults. 5 key findings →
Participants: 45 Evidence: high
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Despite advances towards understanding the molecular pathophysiology of the neurodegenerative dementias, the mechanisms linking molecular changes to neuropathology and neuropathological changes to clinical symptoms remain largely obscure. 1 key finding →
Evidence: low
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In the machine learning verification, the identification accuracy of SCD, aMCI, d-AD from NC was higher when fused ALFF and fALFF features (76.44, 81.94, and 91.83%, respectively) than only using ALFF or fALFF features. 5 key findings →
Participants: 44 Evidence: low
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These results revealed a universal applicability of the "A/T/N" framework in a Chinese population and established an optimal diagnostic model consisting of cost-effective and non-invasive approaches for diagnosing AD. 2 key findings →
Participants: 411 Evidence: moderate
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The trend changes in the hippocampus subfields and further illustrates that SCD is the preclinical stage of AD earlier than aMCI. 1 key finding →
Design: longitudinal study Evidence: moderate
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Population-based evidence directly linking liver diseases to brain disorders is limited, and its genetic and biochemical associations remain unclear. 2 key findings →
Design: cohort study Participants: 59 Evidence: moderate
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The rigorous methodology of the study will hopefully move forward the scientific evaluation of traditional Chinese medicine in treatment of VaD. 3 key findings →
Design: clinical trial Participants: 372 Evidence: high
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Alzheimer's disease (AD) is increasingly recognized as a disconnection syndrome, which leads to cognitive impairment due to the disruption of functional activity across large networks or systems of interconnected brain regions. 4 key findings →
Participants: 18 Evidence: low
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Neuroinflammation is an important host defense response to secondary brain injury after intracerebral hemorrhage (ICH). 4 key findings →
Participants: 216 Evidence: low
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Falls are an early sign of dementia risk, and genetic susceptibility facilitates this association. 4 key findings →
Design: longitudinal study Participants: 265,416 Evidence: moderate
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P-tau217 demonstrated the most significant inter-group differences, the highest hazard ratio, and best distinguished MCI-Converters from MCI-Nonconverters, with its discriminative performance comparable to that of Aβ-PET measures and multi-plasma biomarker models. 5 key findings →
Design: longitudinal study Participants: 47 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
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 27,780 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 27,780 records, built mostly from automated pulls of Europe PMC (61.1% of the library) and OpenAlex (18.3%), 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 →