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Predicting amyloid PET positivity using plasma p-tau181 and other blood-based biomarkers
Hyuk Sung Kwon, Eun-Hye Lee, Hyung-Ji Kim, So-Hee Park, Hyun-Hee Park, Jee Hyang Jeong, Seong-Ho Koh, Seong Hye Choi et al.. Alzheimer's & dementia (Amsterdam, Netherlands), 2023-11-16
Topic: Plasma and spinal-fluid biomarkers
In the Asan cohort, after adjusting for age and sex, p-tau181 (AUC = 0.854) or APOE ε4 status (AUC = 0.769) distinguished Aβ status with high accuracy. Combining them or adding NfL and Aβ42/40 improved model fitness. The best-fit model included the plasma p-tau181, APOE ε4, NfL and Aβ42/40. The models established from the Asan cohort were tested in the KBASE-V cohort. Additionally, in the KBASE-V cohort, these three biomarker models had similar AUC in cognitively unimpaired (AUC = 0.768) and mild cognitive impairment (MCI) (AUC = 0.997) participants. Plasma p-tau181 showed a high performance in determining Aβ-PET positivity. Adding plasma NfL and APOE ε4 status improved the model fit without significant improvement in AUC.
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APA 7th
Kwon, H. S., Lee, E.-H., Kim, H.-J., Park, S.-H., Park, H.-H., Jeong, J. H., et al. (2023). Predicting amyloid PET positivity using plasma p-tau181 and other blood-based biomarkers. Alzheimer's & dementia (Amsterdam, Netherlands). https://doi.org/10.1002/dad2.12502
Vancouver
Kwon HS, Lee E.-H, Kim H.-J, Park S.-H, Park H.-H, Jeong JH, et al. Predicting amyloid PET positivity using plasma p-tau181 and other blood-based biomarkers. Alzheimer's & dementia (Amsterdam, Netherlands). 2023. doi:10.1002/dad2.12502. PMID: 38026758.
BibTeX
@article{kwon2023-38026758,
author = {Kwon, Hyuk Sung and Lee, Eun-Hye and Kim, Hyung-Ji and Park, So-Hee and Park, Hyun-Hee and Jeong, Jee Hyang and Koh, Seong-Ho and Choi, Seong Hye and others},
title = {{Predicting amyloid PET positivity using plasma p-tau181 and other blood-based biomarkers}},
journal = {Alzheimer's \& dementia (Amsterdam, Netherlands)},
year = {2023},
doi = {10.1002/dad2.12502},
pmid = {38026758},
url = {https://doi.org/10.1002/dad2.12502}
}
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Key findings
- In the Asan cohort, after adjusting for age and sex, p-tau181 (AUC = 0.854) or APOE ε4 status (AUC = 0.769) distinguished Aβ status with high accuracy.
- Combining them or adding NfL and Aβ42/40 improved model fitness.
- The best-fit model included the plasma p-tau181, APOE ε4, NfL and Aβ42/40.
- The models established from the Asan cohort were tested in the KBASE-V cohort.
- Additionally, in the KBASE-V cohort, these three biomarker models had similar AUC in cognitively unimpaired (AUC = 0.768) and mild cognitive impairment (MCI) (AUC = 0.997) participants.
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Study details
- Study designcohort study
- Effect sizeAUC = 0.854; AUC = 0.769; AUC = 0.768
- Evidence strengthModerate
How this study scored 66/100
Published in a leading specialty journal, and it is a cohort study following people over time. Scored zero for sample size, studied in people 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, multi-centre collaboration and free to read, so those were left out: it earned 37 of the 56 points we could judge it on, which is 66 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Alzheimer's & dementia (Amsterdam, Netherlands)) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 7 / 12 | A cohort study following people over 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 | 3 / 5 | 2023 — within 6 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 3 / 3 | Effect reported with a statistic (interval, p-value, ratio or similar) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| 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 38026758) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 37 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 37 of the 56 points we could judge it on is 66 out of 100. |
| Total | 66 / 100 | — |
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