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Plasma Phosphorylated Tau 217 Cutoffs for Amyloid Pathology and Kidney Function, Body Mass Index, and Anemia
Jihwan Yun, Jungah Lee, Daeun Shin, Eun Hye Lee, Jun Pyo Kim, Hongki Ham, Yuna Gu, Min Young Chun, et al.. JAMA neurology, 2026-03-01
Topic: Brain proteins, microglia and lab models
Results A total of 2571 participants were analyzed with UGOT, 1578 with Roche, and 304 with the C2N %p-tau217 ratio. In the UGOT cohort, the optimal cutoff improved diagnostic accuracy compared with the standard single cutoff, particularly in CKD and anemia (CKD: from 0.65; 95% CI, 0.57-0.72; to 0.83; 95% CI, 0.76-0.89; anemia: from 0.80; 95% CI, 0.76-0.84; to 0.86; 95% CI, 0.82-0.90), with consistent findings in the Roche cohort. In all biological subgroups, the double-cutoff strategy also increased accuracy relative to the single cutoff and reduced false classifications but yielded 12% to 39% intermediate results. These findings support biologically informed thresholds to improve diagnostic accuracy and cost efficiency when implementing plasma p-tau217.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Yun, J., Lee, J., Shin, D., Lee, E. H., Kim, J. P., Ham, H., et al. (2026). Plasma Phosphorylated Tau 217 Cutoffs for Amyloid Pathology and Kidney Function, Body Mass Index, and Anemia. JAMA neurology. https://doi.org/10.1001/jamaneurol.2025.5530
Vancouver
Yun J, Lee J, Shin D, Lee EH, Kim JP, Ham H, et al. Plasma Phosphorylated Tau 217 Cutoffs for Amyloid Pathology and Kidney Function, Body Mass Index, and Anemia. JAMA neurology. 2026. doi:10.1001/jamaneurol.2025.5530. PMID: 41627837.
BibTeX
@article{yun2026-41627837,
author = {Yun, Jihwan and Lee, Jungah and Shin, Daeun and Lee, Eun Hye and Kim, Jun Pyo and Ham, Hongki and Gu, Yuna and Chun, Min Young and others},
title = {{Plasma Phosphorylated Tau 217 Cutoffs for Amyloid Pathology and Kidney Function, Body Mass Index, and Anemia}},
journal = {JAMA neurology},
year = {2026},
doi = {10.1001/jamaneurol.2025.5530},
pmid = {41627837},
url = {https://doi.org/10.1001/jamaneurol.2025.5530}
}
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
- Results A total of 2571 participants were analyzed with UGOT, 1578 with Roche, and 304 with the C2N %p-tau217 ratio.
- In the UGOT cohort, the optimal cutoff improved diagnostic accuracy compared with the standard single cutoff, particularly in CKD and anemia (CKD: from 0.65; 95% CI, 0.57-0.72; to 0.83; 95% CI, 0.76-0.89; anemia: from 0.80; 95% CI, 0.76-0.84; to 0.86; 95% CI, 0.82-0.90), with consistent findings in the Roche cohort.
- In all biological subgroups, the double-cutoff strategy also increased accuracy relative to the single cutoff and reduced false classifications but yielded 12% to 39% intermediate results.
- These findings support biologically informed thresholds to improve diagnostic accuracy and cost efficiency when implementing plasma p-tau217.
Why it matters
This study found that using two cutoff values instead of one for the blood marker p-tau217 improved diagnostic accuracy, especially in people with chronic kidney disease or anemia. The double-cutoff approach reduced false classifications but produced intermediate results in 12% to 39% of cases.
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Study details
- Study designcross-sectional
- Participants2,571
- Effect sizeDiagnostic accuracy for amyloid positivity in CKD: 0.65 (95% CI 0.57-0.72) with standard cut-off vs 0.83 (0.76-0.89) with subgroup-optimal cut-off
- Evidence strengthModerate
Limitations
Cross-sectional Korean cohorts, so cut-offs may not transfer to other populations or laboratories; cost analysis used modelled assumptions; no longitudinal outcomes.
How this study scored 65/100
Published in a leading specialty journal, and it is a snapshot of people at one point in time. Scored zero for randomised / blinded because the record does not state it. We have no data on senior author's track record and free to read, so those were left out: it earned 61 of the 94 points we could judge it on, which is 65 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (JAMA neurology) |
| Journal's citation record | 2 / 4 | JAMA Neurology: journal h-index 235 (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 | 5 / 5 | 2026 — within 1 year(s) of the newest study here |
| Sample size | 3 / 4 | 2,571 participants |
| Effect reported | 3 / 3 | Effect reported with a statistic (interval, p-value, ratio or similar) |
| 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 | 2 / 7 | Cited 10 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 5.0 citations a year over 2 year(s) since 2026 |
| Impact for its field and year | 6 / 6 | Cited 47.2× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 1 / 6 | Cited by 2 other studies in this library |
| Still being cited | 1 / 4 | Cited 10 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | — / 4 | OpenAlex's profile for last-listed author Beomsu Kim holds only 1 work(s), too few to judge a track record — left out of this score |
| Institution's track record | 2 / 3 | University College London: institution h-index 2,029 (OpenAlex) |
| Multi-centre collaboration | 3 / 3 | OpenAlex lists 34 institution(s) in 7 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 41627837) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 61 / 94 | Scored on 18 of 20 parts. We have no data for the rest, so they are left out: 61 of the 94 points we could judge it on is 65 out of 100. |
| Total | 65 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1001/jamaneurol.2025.5530
- PubMed: 41627837
- Original source →
- Free full text: PubMed Central →
Full text: free to read — PubMed Central lists this copy as free to read: the link above (checked 10 Oct 2026).
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