Identifying individuals at risk for developing Alzheimer disease (AD) is of utmost importance. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
30,580 Alzheimer's and dementia studies in plain English, each scored out of 100.
Identifying individuals at risk for developing Alzheimer disease (AD) is of utmost importance. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Genetic variants of TREM2, a protein expressed selectively by microglia in the brain, are associated with Alzheimer's disease (AD). 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
TREM2 is a lipid-sensing activating receptor on microglia known to be important for Alzheimer's disease (AD), but whether it plays a beneficial or detrimental role in disease pathogenesis is controversial. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Frontotemporal dementia (FTD) and Alzheimer's disease (AD) have overlapping symptoms, and accurate differential diagnosis is important for targeted intervention and treatment. 4 key findings →
Participants: 4,099 Evidence: moderate
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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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Microglia contribute to development, homeostasis, and immunity of the CNS. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Recent genome-wide association studies linked variants in TREM2 to a strong increase in the odds of developing Alzheimer's disease. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Identifying factors underlying resistance to immune checkpoint therapy (ICT) is still challenging. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Bile acids (BAs) may contribute to dementia by regulating neuroinflammation and influencing gut-brain axis signaling, especially in Alzheimer's disease (AD). 3 key findings →
Design: cross-sectional Evidence: moderate
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Computational anatomy methods are now widely used in clinical neuroimaging to map the profile of disease effects on the brain and its clinical correlates. 1 key finding →
Participants: 490 Evidence: low
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Mitochondrial dysfunction is a prominent feature of Alzheimer disease but the underlying mechanism is unclear. 4 key findings →
Evidence: low
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Like acetylcholinesterase, butyrylcholinesterase (BChE) inactivates the neurotransmitter acetylcholine (ACh) and is hence a viable therapeutic target in Alzheimer's disease, which is characterized by a cholinergic deficit. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Interest in understanding the roles of white matter (WM) inflammation and damage in the pathophysiology of Alzheimer disease (AD) has been growing significantly in recent years. 5 key findings →
Participants: 200 Evidence: low
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Immune checkpoint inhibitors targeting programmed cell death protein 1, programmed death-ligand 1, and cytotoxic T-lymphocyte-associated protein 4 provide deep and durable treatment responses which have revolutionized oncology. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
One of the pathological hallmarks of Alzheimer disease is the accumulation of amyloid plaques in the extracellular space in the brain. 2 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Sepsis-induced cardiomyopathy (SICM) is common in septic patients with a high mortality and is characterized by an abnormal immune response. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Triggering receptor expressed on myeloid cells 2 (TREM2) has been shown with a neuroprotective function against inflammation and neuronal injury in Alzheimer's disease (AD). 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Neuroinflammation is one of the most important processes in secondary injury after traumatic brain injury (TBI). 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
While macrophages are among the most abundant immune cell type found within primary and metastatic mammary tumors, how their complexity and heterogeneity change with metastatic progression remains unknown. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Subtle and spatially complex deformation patterns of hippocampus between patients with AD and healthy control subjects can be detected by machine learning methods. 2 key findings →
Participants: 19 Evidence: low
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Metabolic changes play a crucial role in determining the status and function of macrophages, but how lipid reprogramming in macrophages contributes to tumor progression is not yet fully understood. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Triggering receptor expressed on myeloid cells-2 (TREM2) is a key pro-tumorigenic marker of tumor-infiltrating macrophages, showing potent immunosuppressive activity in tumor microenvironment. 3 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Triggering receptors expressed on myeloid cells 2 (TREM2) is considered a protective factor to protect host from bacterial infection, while how it elicits this role is unclear. 4 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Of the 1,193 CI patients, 860 (72.1%) were amyloid-positive. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Machine learning has become ubiquitous and a key technology on mining electronic health records (EHRs) for facilitating clinical research and practice. 2 key findings →
Evidence: low
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.
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 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.
This is a large sample of the Alzheimer's literature, not an exhaustive index of it. It holds 30,580 records, built mostly from automated pulls of Europe PMC (64.7% of the library) and OpenAlex (16.6%), 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 (3.4% 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 →
Newest studies, as a dated timeline → Atom feed Where this research is being discussed: events