79/100
✓ Peer-reviewed
alzhub usefulness score 79 out of 100.
·
Brain
·
2025-02-03
Plasma %p-tau217WashU had the highest performance, with significantly higher AUCs than all the immunoassays (Pdiff < 0.007). 5 key findings →
Design: cohort
Participants: 998
Evidence: high
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77/100
✓ Peer-reviewed
alzhub usefulness score 77 out of 100.
·
Nature medicine
·
2025-03-31
Rates of cognitive decline in Alzheimer's disease (AD) are extremely heterogeneous. 1 key finding →
Design: case-control study
Participants: 3,397
Evidence: moderate
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Gradual up-titration of dose significantly reduced ARIA-E risk while demonstrating comparable pharmacokinetics/pharmacodynamics compared to standard dosing. 5 key findings →
Design: phase-3-trial
Participants: 843
Evidence: moderate
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76/100
✓ Peer-reviewed
alzhub usefulness score 76 out of 100.
·
JAMA
·
2025-06-16
Among the 6514 participants (mean age, 69.5 years; 50.5% female), median follow-up time ranged from 1.5 to 4.0 years. 5 key findings →
Design: longitudinal study
Participants: 6,514
Evidence: moderate
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Neuroinflammatory biomarkers are associated with AD progression. 5 key findings →
Design: meta-analysis
Evidence: high
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Plasma p-tau217/Aβ42 has high performance in detecting cerebral AD pathologies, thus offering a promising tool for clinical diagnosis and community screening of AD. 1 key finding →
Design: cross-sectional
Participants: 512
Evidence: moderate
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Plasma p-tau217 is a prognostic marker for identifying individuals who will develop cognitive impairment within ten years. 2 key findings →
Design: cohort
Participants: 215
Evidence: moderate
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70/100
✓ Peer-reviewed
alzhub usefulness score 70 out of 100.
·
Neurology
·
2025-05-15
In DDI (n = 431), participants were classified as CN A-/T- (n = 169), A+/T- (CN = 26, MCI = 24), A+/T+ (CN = 40, MCI = 105), and A-/T+ (CN = 34, MCI = 33), with a mean age of 64.1 years and 55.9% female. 2 key findings →
Design: longitudinal study
Participants: 431
Evidence: moderate
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68/100
✓ Peer-reviewed
alzhub usefulness score 68 out of 100.
·
JAMA neurology
·
2025-07-01
There were 838 BioFINDER-2 participants (mean age, 73.9 [SD, 7.3] years; 431 women [51%]; 407 men [49%]) and 380 ADNI participants (average age, 72.9 [SD, 7.0] years; 194 women [51%]; 186 mean [49%]) included. 3 key findings →
Design: cross-sectional
Participants: 838
Evidence: moderate
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67/100
✓ Peer-reviewed
alzhub usefulness score 67 out of 100.
·
Neurology
·
2025-02-03
One hundred ninety-eight of 229 participants had WMH volumes available at both time-points. 5 key findings →
Design: longitudinal study
Participants: 229
Evidence: moderate
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Experimental evidence suggests that activated microglia induce astrocyte reactivity in neurodegenerative disorders, such as Alzheimer's disease (AD). 3 key findings →
Design: cohort
Participants: 352
Evidence: moderate
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Subjective cognitive decline (SCD) is proposed as an indicator of transitional disease stage 2 in the Alzheimer's disease (AD) continuum. 2 key findings →
Design: longitudinal study
Participants: 457
Evidence: moderate
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65/100
✓ Peer-reviewed
alzhub usefulness score 65 out of 100.
·
JAMA neurology
·
2025-02-17
Among the plasma biomarkers, phosphorylated tau (p-tau) 217 exhibited the highest concordance rate with Aβ (2326 of 2571 [90.5%]) and tau (100 of 120 [83.3%]) PET. 4 key findings →
Design: cohort study
Participants: 2,611
Evidence: moderate
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65/100
✓ Peer-reviewed
alzhub usefulness score 65 out of 100.
·
Neurology
·
2025-06-25
Greater neighborhood disadvantage was associated with elevated inflammatory and AD CSF biomarkers cross-sectionally and longitudinal increases in a nonspecific inflammatory blood biomarker. 5 key findings →
Design: longitudinal study
Participants: 334
Evidence: moderate
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65/100
✓ Peer-reviewed
alzhub usefulness score 65 out of 100.
·
Nature medicine
·
2025-01-30
Previous studies have suggested that systemic viral infections may increase risks of dementia. 4 key findings →
Design: case-control study
Evidence: moderate
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63/100
✓ Peer-reviewed
alzhub usefulness score 63 out of 100.
·
JAMA network open
·
2025-03-03
These findings suggest that PA may help delay cognitive decline by modulating neurodegeneration and AD-specific tau pathologies. 4 key findings →
Design: cross-sectional
Participants: 1,144
Evidence: moderate
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63/100
✓ Peer-reviewed
alzhub usefulness score 63 out of 100.
·
Neurology
·
2025-08-19
A total of 807 K-ROAD participants (median age 72.0 years, 58.7% female) and 230 ADNI participants (median age 70.9 years, 49.1% female) were analyzed. 5 key findings →
Design: cohort study
Participants: 807
Evidence: moderate
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63/100
✓ Peer-reviewed
alzhub usefulness score 63 out of 100.
·
Brain
·
2025-04-22
Common variants within TMEM106B are associated with risk for frontotemporal lobar degeneration with TDP-43 pathology (FTLD-TDP). 4 key findings →
Design: cohort study
Participants: 518
Evidence: moderate
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Three progression clusters emerged in both cohorts: stable cognition, slow decline, and rapid decline-each including cases initially classified as CN or MCI. 5 key findings →
Design: longitudinal study
Participants: 186
Evidence: moderate
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62/100
✓ Peer-reviewed
alzhub usefulness score 62 out of 100.
·
JAMA network open
·
2025-05-01
Lobar CMB counts and the presence of CAA were associated with downstream AD plasma biomarkers, including p-tau217 (β = 0.12 [95% CI, 0.05-0.18] and 0.29 [95% CI, 0.12-0.47], respectively), GFAP (β = 0.07 [95% CI, 0.03-0.12] and 0.20 [95% CI, 0.09-0.31], respectively), and NfL (β = 0.07 [95% CI, 0.03-0.11] and 0.16 [95% CI, 0.06-0.25], respectively) with and without the mediation of Aβ uptake on PET (indirect effect: lobar CMBs-p-tau217, 59.8% [β = 0.07 (95% CI, 0.03-0.11)]; lobar CMBs-GFAP, 49.3% [β = 0.04 (95% CI, 0.01-0.06)]; lobar CMBs-NfL, 20.9% [β = 0.01 (95% CI, 0.01-0.03)]; CAA-p-tau217, 50.9% [β = 0.15 (95% CI, 0.06-0.24)]; CAA-GFAP, 39.2% [β = 0.08 (95% CI, 0.03-0.13)]; CAA-NfL, 19.2% [β = 0.03 (95% CI, 0.01-0.05)]). 4 key findings →
Design: cohort study
Participants: 1,708
Evidence: moderate
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61/100
✓ Peer-reviewed
alzhub usefulness score 61 out of 100.
·
Nature
·
2025-12-17
Our findings suggest a higher prevalence of Alzheimer’s disease dementia in older individuals and a lower prevalence of preclinical Alzheimer’s disease in younger groups than previously estimated 2 . 1 key finding →
Evidence: moderate
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60/100
✓ Peer-reviewed
alzhub usefulness score 60 out of 100.
·
Neurology
·
2025-10-17
The aim of this study was to evaluate longitudinal associations of multimodal core 1 AD biomarkers with cognition in a cognitively unimpaired (CU) population at increased risk of AD dementia. 4 key findings →
Design: longitudinal study
Participants: 350
Evidence: moderate
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60/100
✓ Peer-reviewed
alzhub usefulness score 60 out of 100.
·
Brain
·
2025-04-25
Whether or not neuropsychiatric symptoms (NPS) in advance of dementia are associated with Alzheimer's disease (AD) and/or other neurodegenerative dementias remains to be determined. 5 key findings →
Participants: 1,016
Evidence: low
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-fold changes of 1.21, 0.57, and 4.63, respectively, compared to A-. 5 key findings →
Design: cross-sectional
Participants: 252
Evidence: low
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57/100
✓ Peer-reviewed
alzhub usefulness score 57 out of 100.
·
JMIR Aging
·
2025-04-28
In total, 41 participants consented (n=10, 24% participants with Alzheimer disease; n=11, 27% participants with Lewy body disease; and n=20, 49% controls). 5 key findings →
Design: longitudinal study
Participants: 41
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 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.