Of 104 metabolites studied, glycodeoxycholic acid (GDCA) surpassed the false discovery rate and was associated the Alzheimer's Disease Assessment Scale-Cognitive Subscale version 13 (ADAS-Cog13) score (β = 0.12, 95 % CI = 0.05-0.20, p = 0.001) and cognitive impairment determined by mini-mental status exam (MMSE) (OR = 2.11, 95 % CI = 1.41-3.15, p < 0.001). 4 key findings →
Design: cross-sectional
Participants: 578
Evidence: moderate
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SES and LA were associated with better cognitive performance at baseline, but were not associated with cognitive decline over time. 5 key findings →
Design: longitudinal study
Participants: 181
Evidence: moderate
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54/100
✓ Peer-reviewed
alzhub usefulness score 54 out of 100.
·
Neurology
·
2025-03-17
In the Research Article "Magnitude and Time-Course of Dementia Risk in Stroke Survivors: A Population-Wide Matched Cohort Study" by Joundi et al., 1 the keys for Figure 3, A-D should indicate red for "Stroke," "Ischemic Stroke," "ICH," and "Stroke," respectively. 2 key findings →
Design: cohort study
Evidence: moderate
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The final model, which included age, systolic blood pressure >140, atrial fibrillation, and tobacco use, achieved an AUC of 0.83 (95% CI 0.75-0.90) in the development cohort (N=143, 62.4±12.6 years, 44% female, 36% non-white race) and 0.85 (95% CI 0.77-0.92) in the validation cohort (N=127, 65.2±16.8 years, 51% female, 34% non-white race), with similar results using WMH measurements derived from cMRI (N=120, p=0.98, AUC=0.86, 95% CI 0.77-0.93). 5 key findings →
Participants: 143
Evidence: moderate
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Cohort 1 included 446 individuals (mean age (SD) 65.2 years (8.9); 203 women), Cohort 2 included 164 individuals (mean age (SD) 49.9 years (12.6); 88 women). 5 key findings →
Design: longitudinal study
Participants: 446
Evidence: moderate
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A total of 261 patients (75.3±6.8 years) were recruited from a memory-clinic cohort. 5 key findings →
Design: cross-sectional
Participants: 261
Evidence: moderate
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Non-modifiable (age, apolipoprotein E (APOE) ɛ4 genotype and sex) and modifiable risk factors (co-morbidities at baseline, such as hypertension and cardiovascular disease, BMI, and sleep duration) were analyzed with mixed-effects models, adjusted for age and sex, to predict longitudinal measurements of WMH, Aβ and tau. 5 key findings →
Design: longitudinal study
Participants: 494
Evidence: moderate
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Among 2935 patients (50.4% women; mean age=72.2 years; 19.8% subjective cognitive impairment, 39.8% mild cognitive impairment, and 40.4% dementia), larger WMH volume within projection fibres (B=0.24, SE=0.10, p=0.013) was associated with greater apathy. 5 key findings →
Participants: 2,935
Evidence: low
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52/100
✓ Peer-reviewed
alzhub usefulness score 52 out of 100.
·
Nature Aging
·
2025-11-20
Cerebral small vessel disease (cSVD) is a leading cause of stroke and dementia with no specific treatment, of which molecular mechanisms remain poorly understood. 2 key findings →
Participants: 40,000
Evidence: low
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Our aim is to examine the interplay between cerebral small vessel disease (CSVD) pathology, Alzheimer’s disease (AD) related amyloid-β (Aβ) clearance, and cognition in general population. 2 key findings →
Design: cross-sectional
Participants: 1,026
Evidence: moderate
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52/100
✓ Peer-reviewed
alzhub usefulness score 52 out of 100.
·
Age and Ageing
·
2025-08-21
This study included 3540 participants with RVC data and 489 with WMH data (median [IQR] age: 73.2 [71.4-76.3] and 72.5 [71.2-75.4] years; female: 52.9% and 47.6%) over a median follow-up of 7.4 [IQR 5.5-8.5] and 3.8 [IQR 2.9-5.3] years, respectively. 5 key findings →
Design: cross-sectional
Participants: 3,540
Evidence: moderate
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52/100
✓ Peer-reviewed
alzhub usefulness score 52 out of 100.
·
Age and Ageing
·
2025-08-29
Out of 462,327 eligible participants, those with constipation were associated with higher incidence of three outcome diseases (1415/20,263 [7.0%]) than those without (18,848/442,064 [4.3%]), with adjusted hazard ratio (HR) being 1.35 [1.27-1.42]. 5 key findings →
Design: cohort study
Evidence: moderate
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Hypertension, acute myocardial infarction, atrial fibrillation, diabetes, heart failure, ischemic heart disease, stroke, and arthritis additively accounted for 71.8% (95% confidence interval [CI]: 62.9%-79.1%) of ADRD incident cases based on LE-AAF. 5 key findings →
Design: longitudinal study
Evidence: moderate
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White matter hyperintensity (WMH), indicative of cerebral small vessel disease, has emerged as a potential biomarker for cognitive decline in Alzheimer's disease (AD). 2 key findings →
Design: cross-sectional
Participants: 158
Evidence: low
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Considerable data support the presence of both systemic and CNS inflammation in SVD and VCID. 3 key findings →
Design: longitudinal study
Evidence: moderate
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51/100
✓ Peer-reviewed
alzhub usefulness score 51 out of 100.
·
JAMA Network Open
·
2025-12-09
A total of 44 experts participated in 3 survey rounds, with 28 to 31 participants each. 5 key findings →
Participants: 31
Evidence: low
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Five WMH clusters emerged. Compared to those with low WMH burden, participants in the mild occipital and high parieto-occipital clusters had faster memory decline; mild fronto-parietal and high parieto-occipital clusters showed faster executive decline; and mild and high fronto-parietal and high parieto-occipital clusters had faster language decline. 5 key findings →
Design: longitudinal study
Participants: 1,047
Evidence: moderate
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Type 2 diabetes mellitus (T2DM) and major depressive disorder (MDD) are reciprocal risk factors, and both elevate dementia risk. 4 key findings →
Participants: 15,765
Evidence: low
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This validated nomogram incorporating clinical, biochemical, and neuroimaging biomarkers provides a robust tool for individualized PSCIND risk assessment in first-ever MIS patients, with potential to guide targeted interventions and cognitive monitoring. 2 key findings →
Design: cohort study
Participants: 137
Evidence: moderate
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MAFLD was associated with an increased risk of WMH over 4.1 years in middle‐aged adults. 5 key findings →
Participants: 2,155
Evidence: moderate
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Our results pertaining to menopause-related characteristics, such as age at menopause or menopause hormonal therapy, did not replicate the literature reporting an association with WMH volumes. 5 key findings →
Design: cross-sectional
Participants: 9,560
Evidence: low
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49/100
✓ Peer-reviewed
alzhub usefulness score 49 out of 100.
·
Neurology
·
2025-04-18
= 0.143). LVI was significantly associated with incident ischemic stroke in the MI cohort (adjusted hazard ratio [HR] 1.82, 95% CI 1.08-3.09), but not in the CCA cohort. 5 key findings →
Evidence: moderate
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Cerebral small vessel disease (cSVD) is characterised by white matter hyperintensities (WMH) and contributes to stroke and dementia. 5 key findings →
Design: cross-sectional
Participants: 60
Evidence: low
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White matter hyperintensities (WMH) are neuroimaging markers linked to an elevated risk of cognitive decline. 2 key findings →
Participants: 60
Evidence: low
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48/100
✓ Peer-reviewed
alzhub usefulness score 48 out of 100.
·
Brain Sciences
·
2025-07-29
In 3413 participants (mean age: 59 ± 14 years, 53.4% women), 11% had prevalent CVD or AF, 8% had prevalent CVD, and 4% had prevalent AF. 5 key findings →
Participants: 3,413
Evidence: moderate
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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 29,780 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.