84/100
✓ Peer-reviewed
alzhub usefulness score 84 out of 100.
·
JAMA
·
2015-05-01
Among persons without dementia, the prevalence of cerebral amyloid pathology as determined by positron emission tomography or cerebrospinal fluid findings was associated with age, APOE genotype, and presence of cognitive impairment. 4 key findings →
Design: meta-analysis
Participants: 2,914
Evidence: high
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82/100
✓ Peer-reviewed
alzhub usefulness score 82 out of 100.
·
Nature genetics
·
2011-04-03
The Alzheimer Disease Genetics Consortium (ADGC) performed a genome-wide association study of late-onset Alzheimer disease using a three-stage design consisting of a discovery stage (stage 1) and two replication stages (stages 2 and 3). 1 key finding →
Design: meta-analysis
Evidence: high
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75/100
✓ Peer-reviewed
alzhub usefulness score 75 out of 100.
·
Neurology
·
2014-06-13
Significant proportions of the observed variance in age at symptom onset in ADAD can be explained by family history and mutation type, providing empirical support for use of these data to estimate onset in clinical research. 2 key findings →
Participants: 3,275
Evidence: low
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73/100
✓ Peer-reviewed
alzhub usefulness score 73 out of 100.
·
JAMA
·
2023-02-21
In this exploratory analysis, the APOE ε3[R145C] missense variant was associated with an increased risk of AD among individuals of African ancestry with the ε3/ε4 genotype. 5 key findings →
Design: case-control
Participants: 31,929
Evidence: moderate
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73/100
✓ Peer-reviewed
alzhub usefulness score 73 out of 100.
·
Neurology
·
2008-01-01
In moderate stages of amnestic mild cognitive impairment, common cognitive tests provide better predictive accuracy than measures of whole brain, ventricular, entorhinal cortex, or hippocampal volumes for assessing progression to Alzheimer disease. 1 key finding →
Participants: 129
Evidence: high
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72/100
✓ Peer-reviewed
alzhub usefulness score 72 out of 100.
·
Neurology
·
2010-06-30
Patients with MCI converted to AD at an annual rate of 17.2%. 2 key findings →
Design: longitudinal study
Participants: 85
Evidence: moderate
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72/100
✓ Peer-reviewed
alzhub usefulness score 72 out of 100.
·
JAMA neurology
·
2014-11-01
Analysis confirmed the association of APOE with earlier AAO (P = 3.3 × 10(-96)), with associations in CR1 (rs6701713, P = 7.2 × 10(-4)), BIN1 (rs7561528, P = 4.8 × 10(-4)), and PICALM (rs561655, P = 2.2 × 10(-3)) reaching statistical significance (P Conclusions and relevance We confirmed an association of APOE (OMIM 107741) variants with AAO among affected participants with LOAD and observed novel associations of CR1 (OMIM 120620), BIN1 (OMIM 601248), and PICALM (OMIM 603025) with AAO. 3 key findings →
Design: meta-analysis
Participants: 9,162
Evidence: high
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72/100
✓ Peer-reviewed
alzhub usefulness score 72 out of 100.
·
Neurology
·
2011-09-14
There were no baseline differences between active treatment and placebo groups in age, education, brain volumes, clinical rating scores, or APOE ε4 carrier status. 3 key findings →
Participants: 313
Evidence: high
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69/100
✓ Peer-reviewed
alzhub usefulness score 69 out of 100.
·
JAMA neurology
·
2013-02-01
The APOE ϵ4 allele is a strong risk factor across the LBD spectrum and occurs at an increased frequency in pDLB relative to PDD. 4 key findings →
Design: case-control study
Participants: 244
Evidence: moderate
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69/100
✓ Peer-reviewed
alzhub usefulness score 69 out of 100.
·
Neurology
·
2007-02-07
Progression from amnestic mild cognitive impairment to Alzheimer disease in this cohort was best determined by combining four common, easily administered, cognitive measures. 1 key finding →
Participants: 539
Evidence: moderate
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66/100
✓ Peer-reviewed
alzhub usefulness score 66 out of 100.
·
JAMA neurology
·
2015-04-01
At 48 months, group differences between clinical progressors and non-progressors were significant for self (2.13, SE=0.45, P Conclusions and relevance Demonstrating long-term clinical benefit will be critical for the success of recently launched secondary prevention trials. 1 key finding →
Design: longitudinal study
Participants: 468
Evidence: moderate
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65/100
✓ Peer-reviewed
alzhub usefulness score 65 out of 100.
·
JAMA neurology
·
2014-08-01
In ADNI, Aβ-positive participants showed more decline than did Aβ-negative participants with regard to the ADCS-PACC score at 24 months (mean [SE] difference, -1.239 [0.522] [95% CI, -2.263 to -0.215]; P = .02). 4 key findings →
Evidence: low
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63/100
✓ Peer-reviewed
alzhub usefulness score 63 out of 100.
·
Circulation
·
2015-04-10
By conditioning on the genetic association with the cardiovascular phenotypes, we identify novel AD susceptibility loci, including 2 genome-wide significant variants conferring increased risk for AD. 3 key findings →
Evidence: low
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58/100
✓ Peer-reviewed
alzhub usefulness score 58 out of 100.
·
JAMA neurology
·
2013-03-01
Although there were no significant differences among the 3 groups of participants in their clinical ratings, neuropsychological test scores, hippocampal volumes (P = .60), or hippocampal glucose metabolism measurements (P = .12), there were significant group differences in their posterior cingulate glucose metabolism measurements (P = .001). 2 key findings →
Design: cross-sectional
Participants: 31
Evidence: low
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57/100
✓ Peer-reviewed
alzhub usefulness score 57 out of 100.
·
JAMA neurology
·
2016-06-01
Eight single-nucleotide polymorphisms (false discovery rate P Conclusions and relevance Our findings demonstrate genetic overlap between AD and immune-mediated diseases and suggest that immune system processes influence AD pathogenesis and progression. 2 key findings →
Design: longitudinal study
Evidence: moderate
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57/100
✓ Peer-reviewed
alzhub usefulness score 57 out of 100.
·
JAMA neurology
·
2013-09-01
These findings enhance understanding of AD risk factors by relating validated susceptibility alleles to increased neuritic plaque pathology and implicate common genetic variation at the APP locus in the earliest, presymptomatic stages of AD. 4 key findings →
Participants: 114
Evidence: moderate
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Biomarker trajectory shapes by MMSE score were complex and were affected by interactions with age and APOE status. 3 key findings →
Design: cross-sectional
Participants: 343
Evidence: moderate
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57/100
✓ Peer-reviewed
alzhub usefulness score 57 out of 100.
·
Neuron
·
2013-04-01
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56/100
✓ Peer-reviewed
alzhub usefulness score 56 out of 100.
·
Nature genetics
·
2026-08-27
Previously derived polygenic risk scores (PRSs) for Alzheimer's disease (AD) perform inconsistently across diverse ancestries. 3 key findings →
Design: cohort
Evidence: high
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56/100
✓ Peer-reviewed
alzhub usefulness score 56 out of 100.
·
PLoS medicine
·
2017-03-21
Identifying individuals at risk for developing Alzheimer disease (AD) is of utmost importance. 5 key findings →
Evidence: low
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55/100
✓ Peer-reviewed
alzhub usefulness score 55 out of 100.
·
JAMA neurology
·
2014-01-01
Infant ε4 carriers had lower MWF and GMV measurements than noncarriers in precuneus, posterior/middle cingulate, lateral temporal, and medial occipitotemporal regions, areas preferentially affected by AD, and greater MWF and GMV measurements in extensive frontal regions and measurements were also significant in the subset of 2- to 6-month-old infants (MWF differences, P Conclusions and relevance While our findings should be considered preliminary, this study demonstrates some of the earliest brain changes associated with the genetic predisposition to AD. 1 key finding →
Design: cross-sectional
Evidence: low
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Low CSF Abeta(1-42) (surrogate for Abeta amyloid load) is more closely linked to the presence of APOE epsilon4 than to clinical status. 3 key findings →
Participants: 399
Evidence: low
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55/100
✓ Peer-reviewed
alzhub usefulness score 55 out of 100.
·
Neurology
·
2010-07-01
Unlike the CSF biomarkers evaluated, changes in serial structural MRI are correlated with concurrent change on general cognitive and functional indices in impaired subjects, track with clinical disease stage, and are influenced by APOE genotype. 3 key findings →
Participants: 312
Evidence: low
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54/100
✓ Peer-reviewed
alzhub usefulness score 54 out of 100.
·
Neurology
·
2004-06-01
The epsilon4 allele does not predict cholinergic decline in AD. 5 key findings →
Participants: 296
Evidence: low
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We have used a translational convergent functional genomics (CFG) approach to identify and prioritize genes involved in schizophrenia, by gene-level integration of genome-wide association study data with other genetic and gene expression studies in humans and animal models. 3 key findings →
Evidence: low
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How the 0–100 score works — and why some entries are capped
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.
- Journal tier up to 10 pts
- Journal's citation record up to 4 pts
- Study design up to 12 pts
- Strength of evidence up to 5 pts
- Peer-review validation up to 10 pts
- How recent up to 5 pts
- Sample size up to 4 pts
- Effect reported up to 3 pts
- Studied in people up to 3 pts
- Randomised / blinded up to 2 pts
- Times cited up to 7 pts
- Citations per year up to 5 pts
- Impact for its field and year up to 6 pts
- Cited by studies here up to 6 pts
- Still being cited up to 4 pts
- Senior author's track record up to 4 pts
- Institution's track record up to 3 pts
- Multi-centre collaboration up to 3 pts
- Indexed in PubMed up to 2 pts
- Free to read up to 2 pts
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.