75/100
✓ Peer-reviewed
alzhub usefulness score 75 out of 100.
·
Nature medicine
·
2020-03-02
Plasma phosphorylated tau181 (P-tau181) might be increased in Alzheimer's disease (AD), but its usefulness for differential diagnosis and prognosis is unclear. 2 key findings →
Participants: 589
Evidence: moderate
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The Mini-Mental State Examination (MMSE) is the best-known and the most often used short screening tool for providing an overall measure of cognitive impairment in clinical, research and community settings. 4 key findings →
Design: longitudinal study
Evidence: moderate
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Statistically significant Pearson correlations between the neuropsychological tests and their tablet equivalents were found for all domains with moderate (r > 0.3) or strong (r > 0.7) correlations in 16 of 17 tests (p < 0.05). 5 key findings →
Evidence: high
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Between the two versions (paper-based vs. digital) statistically significant correlations were found in all tests, e.g., TMT-A r(48) = 0.63, p < 0.01; TMT-B rs(48) = 0.77, p < 0.001). 5 key findings →
Evidence: high
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Fifty-one AD patients enrolled, mean age 73.5. 4 key findings →
Design: clinical trial
Evidence: high
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74/100
✓ Peer-reviewed
alzhub usefulness score 74 out of 100.
·
Nature aging
·
2024-11-12
Recently approved anti-amyloid immunotherapies for Alzheimer's disease (AD) require evidence of amyloid-β pathology from positron emission tomography (PET) or cerebrospinal fluid (CSF) before initiating treatment. 4 key findings →
Design: cohort study
Participants: 6,896
Evidence: moderate
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The Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to validate biomarkers for Alzheimer's disease (AD) clinical trials. 1 key finding →
Design: longitudinal study
Participants: 20,000
Evidence: moderate
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Pooled evidence from available trials reporting both reduction in amyloid levels and change in cognition suggests that amyloid reduction strategies do not substantially improve cognition. 3 key findings →
Design: meta-analysis
Evidence: high
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74/100
✓ Peer-reviewed
alzhub usefulness score 74 out of 100.
·
Ophthalmology
·
2021-02-27
Topic Visual impairment (VI) and cognitive impairment (CIM) are prevalent age-related conditions that impose substantial burden on the society. 5 key findings →
Design: systematic review
Participants: 47
Evidence: high
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73/100
✓ Peer-reviewed
alzhub usefulness score 73 out of 100.
·
PLOS ONE
·
2024
This meta-analysis pooled 14 studies of the Mini-Cog, a 3-minute memory-and-clock-drawing test doctors can give in a routine visit, to see how well it catches dementia. 5 key findings →
Design: meta-analysis
Participants: 7,194
Evidence: moderate
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The panel cautions users of this guideline that there is significant variability in diagnostic test accuracy and many commercially available BBM tests do not meet these thresholds, especially using a single cutoff. 1 key finding →
Design: systematic-review
Evidence: high
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The results from utilization of the UDS highlight the possibility for numerous research institutions to successfully collaborate, produce, and use standardized data collection instruments for over a decade. 2 key findings →
Design: longitudinal study
Participants: 4,820
Evidence: moderate
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This study found no evidence of a neuroprotective effect of physical activity. 4 key findings →
Design: cohort study
Participants: 329
Evidence: moderate
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Of 1018 study patients enrolled, 508 were randomly assigned to rivastigmine and 510 to placebo; 17.3% of patients on rivastigmine and 21.4% on placebo progressed to AD (hazard ratio 0.85 [95% CI 0.64-1.12]; p=0.225). 4 key findings →
Evidence: high
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Adding MDLC to p-tau217 significantly explained longitudinal cognitive trajectory beyond p-tau217 alone. 5 key findings →
Design: longitudinal study
Participants: 183
Evidence: moderate
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In this prospective cohort study, we included adults aged 40 years or older with subjective cognitive decline, mild cognitive impairment, or dementia, based on cognitive test results and clinical assessments, consecutively recruited at two memory clinics in Sweden, as part of the Swedish BioFINDER-2 study. 3 key findings →
Design: cohort
Participants: 572
Evidence: high
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72/100
✓ Peer-reviewed
alzhub usefulness score 72 out of 100.
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JAMA
·
2024-10-01
The mean age was 74.2 years (SD, 8.3 years), 48% were women, 23% had subjective cognitive decline, 44% had mild cognitive impairment, and 33% had dementia. 2 key findings →
Participants: 307
Evidence: moderate
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The Mini-Mental State Examination (MMSE) is the best-known and the most often used short screening tool for providing an overall measure of cognitive impairment in clinical, research and community settings. 4 key findings →
Design: longitudinal study
Evidence: moderate
Full summary, score breakdown and related studies →
Original source
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We found that the mass spectrometry-based p-tau217 (p-tau217WashU) exhibited significantly better performance than all other plasma p-tau biomarkers when detecting abnormal Aβ status [area under curve (AUC) = 0.947; Pdiff 0.09), but higher compared with AUC of p-tau231UGOT, p-tau181Lilly, p-tau181UGOT, p-tau181Fuji and p-tau181Splex (AUCrange 0.642-0.813; Pdiff ≤ 0.029). 5 key findings →
Participants: 135
Evidence: low
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Participants allocated to CR received 10 weekly sessions over 3 months and four maintenance sessions over 6 months. 4 key findings →
Design: randomized controlled trial
Participants: 475
Evidence: high
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Whilst cerebrospinal fluid (CSF) and positron emission tomography (PET) biomarkers for amyloid-β (Aβ) and tau pathologies are accurate for the diagnosis of Alzheimer’s disease (AD), their broad implementation in clinical and trial settings are restricted by high cost and limited accessibility. 3 key findings →
Design: longitudinal study
Participants: 1,000
Evidence: moderate
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A 26-wk group-based exercise program combined with dual-task training improved GCF in community-dwelling older adults without dementia. 3 key findings →
Design: randomized controlled trial
Participants: 44
Evidence: high
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This fully-automated and available blood-based biomarker assay therefore may be useful for early detection, diagnosis, prognosis, and treatment monitoring of AD. 5 key findings →
Design: longitudinal study
Participants: 463
Evidence: moderate
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Deep learning, a state-of-the-art machine learning approach, has shown outstanding performance over traditional machine learning in identifying intricate structures in complex high-dimensional data, especially in the domain of computer vision. 5 key findings →
Design: systematic review
Evidence: high
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Plasma p-tau217 was the highest-performing biomarker for identifying biologically defined Alzheimer's disease, with pooled sensitivity of 88·1% (95% CI 86·7-89·5, moderate certainty of evidence), specificity of 88·7% (87·4-89·9, moderate certainty of evidence), area under the receiver operating characteristic curve (AUROC) of 91·1% (88·9-92·4, moderate certainty of evidence), and diagnostic odds ratio of 50·7 (40·6-63·4). p-tau181 pooled sensitivity was 80·5% (78·4-82·4, low certainty of evidence), specificity was 76·4% (74·1-78·6, low certainty of evidence), AUROC was 81·5% (80·2-82·9, low certainty of evidence), and diagnostic odds ratio was 13·4 (11·4-16·7). p-tau205 pooled sensitivity was 76·6% (70·7-81·6, moderate certainty of evidence), specificity was 86·0% (78·6-91·2, moderate certainty of evidence), AUROC was 85·1% (80·7-89·6, moderate certainty of evidence), and diagnostic odds ratio was 20·2 (10·5-38·7). p-tau212 pooled sensitivity was 84·5% (75·5-90·6, moderate certainty of evidence), specificity was 87·3% (79·5-92·5, moderate certainty of evidence), AUROC was 90·3% (86·6-94·1, moderate certainty of evidence), and diagnostic odds ratio was 41·2 (22·0-77·3). p-tau231 pooled sensitivity was 75·2% (71·3-78·8, moderate certainty of evidence), specificity was 75·3% (71·2-78·9, moderate certainty of evidence), AUROC was 80·2 (77·6-82·7, moderate certainty of evidence), and diagnostic odds ratio was 9·3 (7·0-12·2). 4 key findings →
Design: systematic review
Evidence: high
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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.