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Record W7116855610 · doi:10.1002/alz70861_108909

Variations in Plasma <i>p</i> ‐tau217 by Sociodemographic Factors Across World Regions in a Preclinical AD Clinical Trials Program: the AHEAD 3‐45 Study

2025· article· en· W7116855610 on OpenAlexaboutno aff
Doris P. Molina‐Henry, REMA RAMAN, Andy Liu, Oliver Langford, Joel B. Braunstein, Shobha Dhadda, Michael C. Irizarry, Joshua D. Grill, KA Johnson, Robert A. Rissman, Paul S. Aisen, Reisa A. Sperling, the AHEAD 3‐45 Study Team

Bibliographic record

VenueAlzheimer s & Dementia · 2025
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupRace (biology)Clinical trialApolipoprotein EAmyloid (mycology)EpidemiologyAmyloidosis

Abstract

fetched live from OpenAlex

BACKGROUND: The AHEAD 3-45 Study, a preclinical Alzheimer's Disease (AD) trials program testing lecanemab in asymptomatic individuals with biomarker evidence of disease, completed its randomization October 2024. We have previously reported differences in amyloid abnormalities, as measured by plasma p -tau217 ratio (p -tau217r), by race and ethnicity in North America (NA). In these analyses, we report our findings on associations of p -tau217r by age and APOE ℇ4 carrier status across sociodemographic characteristics in participants from all world regions. METHOD: Sociodemographic characteristics included self-reported race (Asian, Black and White), self-reported ethnicity (Hispanic and Non-Hispanic), SES based on Hollingshead score (low-mid and mid-high) and rurality defined by Rural-Urban Commuting Areas (rural/urban). Individuals were screened across 97 clinical sites in 4 world regions (including 7 countries Australia, Canada, Japan, Singapore, Spain, United States, United Kingdom). p -tau217r was transformed (1√p-tau217r) to meet model assumptions. Plasma p -tau217r were determined using C2N mass spectrometry for p -tau217/non-phosphorylated-tau. To assess group associations with p -tau217r, linear models were fitted that adjusted for APOE ℇ4 carrier status, age and all 2- and 3-way interactions. RESULTS: Demographic characteristics are depicted in Table 1. Figure 1 shows the distribution of p -tau217r by sociodemographic characteristic. Notably, p -tau217r increases with age across all groups. APOE ℇ4 carriers demonstrated differences in p -tau217r across race (p <0.001), ethnicity (p <0.001) and SES (p =0.02) with consistently higher levels of p -tau217r at younger ages in Whites, non-Hispanics, and higher SES (Figure 2). There was no effect of rurality on the relationship of p -tau217r by age and APOE ℇ4 carrier status (p =0.58). CONCLUSIONS: In this expanded global cohort, our results are consistent with our previous findings in NA suggesting an effect of race and ethnicity on p -tau217r among APOE ℇ4 carriers. This finding may reflect underlying differential group-level prevalence of amyloid pathology through the amyloidogenic modulation of APOE ℇ4. Importantly, our analyses suggest an effect of SES among APOE ℇ4 carriers. Our discussion will examine intersectionality of race, ethnicity and SES. Furthermore, we will report on the relationship of p -tau217r and amyloid PET to establish whether p -tau217r displays similar predictive capacity as amyloid PET across groups in this global cohort.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.188
GPT teacher head0.498
Teacher spread0.311 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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