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Plasma amyloid, tau, and neurodegeneration biomarker profiles predict Alzheimer's disease pathology and clinical progression in older adults without dementia
Shen XN, Li JQ, Wang HF, Li HQ, Huang YY, Yang YX, Tan L, Dong Q et al.. Alzheimer's & dementia (Amsterdam, Netherlands), 2020-09-24
Topic: Amyloid, tau and blood-test diagnosis
Plain-language summary
Introduction Plasma markers have been reported to be associated with brain amyloid burden, tau pathology, or neurodegeneration. We aimed to evaluate whether plasma biomarker profiles could predict Alzheimer's disease (AD) pathology and clinical progression in older adults without dementia. Methods Cross-sectional and longitudinal data of participants enrolled in this study were from the Alzheimer's Disease Neuroimaging Initiative (ADNI).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Shen, X. N., Li, J. Q., Wang, H. F., Li, H. Q., Huang, Y. Y., Yang, Y. X., et al. (2020). Plasma amyloid, tau, and neurodegeneration biomarker profiles predict Alzheimer's disease pathology and clinical progression in older adults without dementia. Alzheimer's & dementia (Amsterdam, Netherlands). https://doi.org/10.1002/dad2.12104
Vancouver
Shen XN, Li JQ, Wang HF, Li HQ, Huang YY, Yang YX, et al. Plasma amyloid, tau, and neurodegeneration biomarker profiles predict Alzheimer's disease pathology and clinical progression in older adults without dementia. Alzheimer's & dementia (Amsterdam, Netherlands). 2020. doi:10.1002/dad2.12104. PMID: 33005724.
BibTeX
@article{shen2020-33005724,
author = {Shen, X. N. and Li, J. Q. and Wang, H. F. and Li, H. Q. and Huang, Y. Y. and Yang, Y. X. and Tan, L. and Dong, Q. and others},
title = {{Plasma amyloid, tau, and neurodegeneration biomarker profiles predict Alzheimer's disease pathology and clinical progression in older adults without dementia}},
journal = {Alzheimer's \& dementia (Amsterdam, Netherlands)},
year = {2020},
doi = {10.1002/dad2.12104},
pmid = {33005724},
url = {https://doi.org/10.1002/dad2.12104}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
Key findings
- We aimed to evaluate whether plasma biomarker profiles could predict Alzheimer's disease (AD) pathology and clinical progression in older adults without dementia.
- Methods Cross-sectional and longitudinal data of participants enrolled in this study were from the Alzheimer's Disease Neuroimaging Initiative (ADNI).
- Plasma amyloid beta (Aβ) 1-42 /Aβ 1-40 ratio was selected as the marker for amyloid pathology, p-tau181 for tau pathology, and neurofilament light for neurodegeneration.
- Cut-offs for these plasma markers were calculated with well-established positron emission tomography and structural imaging biomarkers as reference.
Why it matters
This study used Alzheimer's Disease Neuroimaging Initiative data to test whether plasma biomarker profiles could predict Alzheimer's disease pathology and clinical progression in older adults without dementia. It is a cross-sectional and longitudinal observational study, so it cannot show that acting on these biomarkers would prevent or cure Alzheimer's disease.
Study details
- Study designcross-sectional
- Participants183
- Effect size48.1%
- Evidence strengthModerate
How this study scored 58/100
Published in a leading specialty journal, and it is a snapshot of people at one point in time. Scored zero for randomized / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 56 of the 96 points we could judge it on, which is 58 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Alzheimer's & dementia (Amsterdam, Netherlands)) |
| Journal's citation record | 1 / 4 | Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring: journal h-index 86 (OpenAlex, 2026-10-29) |
| Study design | 4 / 12 | A snapshot of people at one point in time |
| Strength of evidence | 3 / 5 | Rated “moderate” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 2 / 5 | 2020 — within 10 year(s) of the newest study here |
| Sample size | 2 / 4 | 183 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 4 / 7 | Cited 56 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 7.0 citations a year over 8 year(s) since 2020 |
| Impact for its field and year | 3 / 6 | Cited 5.9× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 4 other studies in this library |
| Still being cited | 2 / 4 | Cited 19 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | 1 / 3 | Fudan University: institution h-index 954 (OpenAlex) |
| Multicenter collaboration | 2 / 3 | OpenAlex lists 7 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 33005724) |
| Free to read | 2 / 2 | Free to read |
| Points | 56 / 96 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 56 of the 96 points we could judge it on is 58 out of 100. |
| Total | 58 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1002/dad2.12104
- PubMed: 33005724
- Original source →
- Free full text: Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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