The likelihood of amyloid positivity was associated with age and APOE ε4 status. 3 key findings →
Design: meta-analysis Participants: 377 Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
28,180 Alzheimer's and dementia studies in plain English, each scored out of 100.
The likelihood of amyloid positivity was associated with age and APOE ε4 status. 3 key findings →
Design: meta-analysis Participants: 377 Evidence: high
Full summary, score breakdown and related studies → Original source Free full text
The double-cutoff approach revealed high confidence for interpreting scans as negative when Centiloid values were lower than 11 (95% CI, 9-13; I2 = 95%) and interpreting scans as positive if Centiloid values were higher than 26 (95% CI, 24-28; I2 = 95%). 3 key findings →
Design: meta-analysis Participants: 49,227 Evidence: high
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However, few longitudinal Pittsburgh compound B-positron emission tomography studies have tested this hypothesis, and with conflicting results. 5 key findings →
Design: longitudinal study Participants: 32 Evidence: moderate
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Pittsburgh Compound B PET findings match histopathologic reports of beta-amyloid (Abeta) distribution in aging and dementia. 2 key findings →
Design: longitudinal study Evidence: moderate
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This fifteen-year study provides a large database of highly characterized individuals with longitudinal cognitive, imaging and lifestyle data and biofluid collections, to aid in the development of interventions to delay onset, prevent or treat AD. 1 key finding →
Design: cohort study Participants: 1,112 Evidence: moderate
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Various biomarkers are available to support the diagnosis of neurodegenerative diseases in clinical and research settings. 5 key findings →
Evidence: low
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(18)F-BAY94-9172 binding matched the reported post-mortem distribution of Abeta plaques. 5 key findings →
Participants: 15 Evidence: low
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Although amyloid imaging with PiB-PET ([C-11]Pittsburgh Compound-B positron emission tomography), and now with F-18-labeled tracers, has produced remarkably consistent qualitative findings across a large number of centers, there has been considerable variability in the exact numbers reported as quantitative outcome measures of tracer retention. 4 key findings →
Evidence: low
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Subtle memory impairment with a positive β-amyloid scan identifies healthy individuals at high risk for MCI or AD. 3 key findings →
Participants: 87 Evidence: moderate
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See Derry and Kent (doi:10.1093/awx167) for a scientific commentary on this article. 2 key findings →
Participants: 64 Evidence: low
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The Australian Imaging, Biomarkers and Lifestyle (AIBL) study performed (11)C-Pittsburgh Compound B (PiB) scans in 177 healthy controls (HC), 57 mild cognitive impairment (MCI) subjects, and 53 mild Alzheimer's disease (AD) patients. 5 key findings →
Evidence: low
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Positron emission tomography (PET) of brain amyloid b is a technology that is becoming more available, but its clinical utility in medical practice requires careful definition. 5 key findings →
Evidence: low
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When compared with the other groups, AD patients demonstrated significantly higher SUVRs (P Conclusion (18)F-florbetaben had high sensitivity for AD, clearly distinguished patients with FTLD from AD, and provided results comparable to those reported with (11)C-Pittsburgh Compound B in a variety of neurodegenerative diseases. 1 key finding →
Participants: 20 Evidence: low
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The Alzheimer's Disease Neuroimaging Initiative (ADNI), launched in 2004, has worked to accelerate drug development by validating imaging and blood/cerebrospinal fluid biomarkers for Alzheimer's disease clinical treatment trials. 4 key findings →
Design: longitudinal study Evidence: moderate
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Our study demonstrated the robustness of a multisite Centiloid [ 11 C]PIB‐PET study and established a range of pathology‐based CL thresholds.
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The semantic and non-fluent/agrammatic variants are largely associated with frontotemporal lobar degeneration with TDP-43 and tau pathology, respectively. 3 key findings →
Evidence: low
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Florbetaben PET shows high sensitivity and specificity for the detection of histopathology-confirmed neuritic β-amyloid plaques and may thus be a valuable adjunct to clinical diagnosis, particularly for the exclusion of AD.
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The A(+)N(-) and A(+)N(+) groups had significantly faster cognitive decline than the A(-)N(-) group (0·08 SD per year for AIBL-Preclinical AD Cognitive Composite [PACC]; p Interpretation Brain amyloidosis, a surrogate marker of Alzheimer's disease pathology, is a risk factor for cognitive decline and for progression from preclinical stages to symptomatic stages of the disease, with neurodegeneration acting as a compounding factor. 2 key findings →
Evidence: low
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Atrophy rates are pathologically increased up to seven years before "expected onset". 1 key finding →
Participants: 94 Evidence: low
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Beta-amyloid (Abeta) deposition is pathognomic for Alzheimer's disease (AD), but may occur in normal elderly people without apparent cognitive effect.
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(18)F-AZD4694 showed reversible binding kinetics similar to (11)C-PiB, reaching an apparent steady state at 50 min after injection. 2 key findings →
Evidence: low
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18 F-SMBT-1 yielded high-contrast images at steady state (60-80 min after injection). 5 key findings →
Design: cross-sectional Evidence: low
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18 F-SMBT-1 showed robust entry into the brain and reversible binding kinetics, with high tracer retention in basal ganglia, intermediate retention in cortical regions, and the lowest retention in cerebellum and white matter, which tightly follows the known regional brain distribution of MAO-B ( R 2 = 0.84). 5 key findings →
Evidence: low
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The results for both (11)C-PiB and (18)F-NAV4694 can now be expressed in centiloids, an important step that should allow better clinical and research use of Aβ imaging. 3 key findings →
Evidence: low
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Amyloid PET imaging is a novel diagnostic test that can detect in living humans one of the two defining pathologic lesions of Alzheimer disease, amyloid-β deposition in the brain. 3 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. 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 28,180 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 28,180 records, built mostly from automated pulls of Europe PMC (61.7% of the library) and OpenAlex (18.1%), 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.
1,034 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 →