Frontotemporal lobar degeneration (FTLD) is the second most common cause of presenile dementia. 1 key finding →
Participants: 515 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
28,580 Alzheimer's and dementia studies in plain English, each scored out of 100.
Frontotemporal lobar degeneration (FTLD) is the second most common cause of presenile dementia. 1 key finding →
Participants: 515 Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
We set out to determine factors that influence the rate of brain atrophy in 1-year longitudinal magnetic resonance imaging (MRI) data. 1 key finding →
Design: longitudinal study Participants: 363 Evidence: moderate
Full summary, score breakdown and related studies → Original source Free full text
Alzheimer's disease (AD) is classically defined as a dual clinicopathological entity. 5 key findings →
Evidence: low
Full summary, score breakdown and related studies → Original source Free full text
Among caregivers, this small randomized controlled trial found that escitalopram use resulted in improvement in depression, resilience, burden and distress, and quality of life. 4 key findings →
Design: randomized controlled trial Evidence: high
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Structural imaging based on magnetic resonance is an integral part of the clinical assessment of patients with suspected Alzheimer dementia. 5 key findings →
Evidence: low
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The results suggest that APOE epsilon4 and heavy drinking and heavy smoking lower the age of onset for AD in an additive fashion. 2 key findings →
Design: cross-sectional Participants: 397 Evidence: moderate
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The Alzheimer's Disease Neuroimaging Initiative (ADNI) beginning in October 2004, is a 6-year research project that studies changes of cognition, function, brain structure and function, and biomarkers in elderly controls, subjects with mild cognitive impairment, and subjects with Alzheimer's disease (AD). 2 key findings →
Evidence: low
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Obesity is associated with lower brain volumes in cognitively normal elderly subjects, but no study has yet investigated the effects of obesity on brain structure in patients with mild cognitive impairment (MCI) or Alzheimer's disease (AD). 4 key findings →
Participants: 399 Evidence: low
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Cognitive alterations show greatest correlation with total CGIC. 2 key findings →
Evidence: high
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Here, we review progress by the Penn Biomarker Core in the Alzheimer's Disease Neuroimaging Initiative (ADNI) toward developing a pathological cerebrospinal fluid (CSF) and plasma biomarker signature for mild Alzheimer's disease (AD) as well as a biomarker profile that predicts conversion of mild cognitive impairment (MCI) and/or normal control subjects to AD. 2 key findings →
Evidence: low
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Obesity is associated with increased risk for cardiovascular health problems including diabetes, hypertension, and stroke. 5 key findings →
Evidence: low
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Autosomal-dominant Alzheimer's disease has provided significant understanding of the pathophysiology of Alzheimer's disease.
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Of enrollees, 15.9% entered the gap, 2.6% within the first 180 days; among gap enterers, only 6.7% exited again. 5 key findings →
Participants: 287,713 Evidence: low
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MRI research examining structural brain atrophy in Alzheimer's disease (AD) generally focuses on medial temporal and cortical structures, but amyloid and tau deposits also accumulate in the caudate. 4 key findings →
Evidence: low
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Neuroimaging with iron-sensitive MR sequences [gradient echo T2* and susceptibility-weighted imaging (SWI)] identifies small signal voids that are suspected brain microbleeds. 4 key findings →
Evidence: low
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Parkinson's disease (PD) has been associated with mild cognitive impairment (PDMCI) and with dementia (PDD). 4 key findings →
Evidence: low
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Alzheimer's disease (AD) is the most common progressive dementia and is pathologically characterized by brain deposition of amyloid-beta (Abeta) peptide as senile plaques. 4 key findings →
Evidence: low
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We used a previously validated automated machine learning algorithm based on adaptive boosting to segment the hippocampi in baseline and 12-month follow-up 3D T1-weighted brain MRIs of 150 cognitively normal elderly (NC), 245 mild cognitive impairment (MCI) and 97 Dementia of the Alzheimer's type (DAT) ADNI subjects. 3 key findings →
Evidence: low
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We applied an automated hippocampal segmentation technique based on adaptive boosting (AdaBoost) to the 1.5 T magnetic resonance imaging (MRI) baseline and 1-year follow-up data of 243 subjects with mild cognitive impairment (MCI), 96 with Alzheimer's disease (AD), and 145 normal controls (NC) scanned as part of the Alzheimer's Disease Neuroimaging Initiative (ADNI). 3 key findings →
Participants: 243 Evidence: low
Full summary, score breakdown and related studies → Original source
Cognitive impairment is prevalent in older schizophrenia patients but its biological basis is unknown. 4 key findings →
Evidence: low
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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 28,580 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 28,580 records, built mostly from automated pulls of Europe PMC (62.2% of the library) and OpenAlex (17.8%), 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 (3.6% 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 →