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Can white matter hyperintensities based Fazekas visual assessment scales inform about Alzheimer's disease pathology in the population?
Pradeep A, Raghavan S, Przybelski SA, Preboske GM, Schwarz CG, Lowe VJ, Knopman DS, Petersen RC et al.. Alzheimer's research & therapy, 2024-07-10
Topic: Amyloid, tau and blood-test diagnosis
Their distinct spatial distributions, namely periventricular versus deep WMH, may differ by underlying age-related and pathobiological processes contributing to cognitive decline. Results Periventricular and deep WMH measurements showed similar correlations with age, cardiometabolic conditions score (vascular risk), and cognition, (p < 0.001). We found substantial agreement between data from the two scanners for Fazekas measurements (ICC = 0.82 and 0.74). We observed minimal impact of amyloidosis on WMH severity. These findings, coupled with enhanced inter-scanner reproducibility of WMH data, suggest the combinability of inter-scanner data assessed by harmonized protocols in the context of vascular contributions to cognitive impairment and dementia biomarker research.
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APA 7th
Pradeep, A., Raghavan, S., Przybelski, S. A., Preboske, G. M., Schwarz, C. G., Lowe, V. J., et al. (2024). Can white matter hyperintensities based Fazekas visual assessment scales inform about Alzheimer's disease pathology in the population? Alzheimer's research & therapy. https://doi.org/10.1186/s13195-024-01525-5
Vancouver
Pradeep A, Raghavan S, Przybelski SA, Preboske GM, Schwarz CG, Lowe VJ, et al. Can white matter hyperintensities based Fazekas visual assessment scales inform about Alzheimer's disease pathology in the population? Alzheimer's research & therapy. 2024. doi:10.1186/s13195-024-01525-5. PMID: 38987827.
BibTeX
@article{pradeep2024-38987827,
author = {Pradeep, A. and Raghavan, S. and Przybelski, S. A. and Preboske, G. M. and Schwarz, C. G. and Lowe, V. J. and Knopman, D. S. and Petersen, R. C. and others},
title = {{Can white matter hyperintensities based Fazekas visual assessment scales inform about Alzheimer's disease pathology in the population?}},
journal = {Alzheimer's research \& therapy},
year = {2024},
doi = {10.1186/s13195-024-01525-5},
pmid = {38987827},
url = {https://doi.org/10.1186/s13195-024-01525-5}
}
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Key findings
- Their distinct spatial distributions, namely periventricular versus deep WMH, may differ by underlying age-related and pathobiological processes contributing to cognitive decline.
- Results Periventricular and deep WMH measurements showed similar correlations with age, cardiometabolic conditions score (vascular risk), and cognition, (p < 0.001).
- We found substantial agreement between data from the two scanners for Fazekas measurements (ICC = 0.82 and 0.74).
- We observed minimal impact of amyloidosis on WMH severity.
- These findings, coupled with enhanced inter-scanner reproducibility of WMH data, suggest the combinability of inter-scanner data assessed by harmonized protocols in the context of vascular contributions to cognitive impairment and dementia biomarker research.
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Study details
- Participants1,144
- Evidence strengthLow
How this study scored 55/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multi-centre collaboration, so those were left out: it earned 32 of the 58 points we could judge it on, which is 55 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Alzheimer's research & therapy) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2024 — within 3 year(s) of the newest study here |
| Sample size | 3 / 4 | 1,144 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 38987827) |
| Free to read | 2 / 2 | Free to read |
| Points | 32 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 32 of the 58 points we could judge it on is 55 out of 100. |
| Total | 55 / 100 | — |
What each of these 20 components measures, and what this score is not →
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