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Biomarker-Informed Interpretation of Dyadic Cognitive Function Index Scores in Cognitively Unimpaired Older Adults
Mounié A, Sato K, Nakashima S, Niimi Y, Iwatsubo T.. medRxiv, 2026-07-30
Topic: Plasma and spinal-fluid biomarkers
Introduction Participant- and study partner-reported Cognitive Function Index scores may provide complementary information, but it remains unclear whether Alzheimer’s disease biomarkers are associated with CFI scores across reporters, reporter-specific imbalance, or both. Methods Using A4/LEARN screening data (screening sample, N = 1,686; primary dyadic analytic sample, N = 1,682; CDR global score = 0), we jointly modeled participant-reported (CFI-PT) and study partner-reported (CFI-SP) scores in long format to evaluate biomarker associations with CFI scores and biomarker × reporter interactions. As a secondary analysis, we compared tau PET with plasma p-tau217. Results In an A4/LEARN-adapted regional extent model, reporter balance varied across amyloid regional extent categories, with the largest participant-leading contrast observed in the exploratory restricted early cortical subgroup. Tau PET was associated with higher CFI scores, but this association did not differ detectably between reporters. Plasma p-tau217 showed no clear CFI association or reporter-specific interaction in the A4-derived, amyloid-enriched subset. Discussion Amyloid regional extent and tau PET were associated with different features of dyadic CFI data: reporter balance and CFI burden across reporters, respectively. Joint interpretation of CFI-PT and CFI-SP may support biomarker-informed interpretation of the instrument, although the cross-sectional findings require replication and longitudinal validation.
Key findings
- Introduction Participant- and study partner-reported Cognitive Function Index scores may provide complementary information, but it remains unclear whether Alzheimer’s disease biomarkers are associated with CFI scores across reporters, reporter-specific imbalance, or both.
- Results In an A4/LEARN-adapted regional extent model, reporter balance varied across amyloid regional extent categories, with the largest participant-leading contrast observed in the exploratory restricted early cortical subgroup.
- Tau PET was associated with higher CFI scores, but this association did not differ detectably between reporters.
- Discussion Amyloid regional extent and tau PET were associated with different features of dyadic CFI data: reporter balance and CFI burden across reporters, respectively.
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Study details
- Study designcross-sectional
- Participants1,686
- Evidence strengthModerate
How this study scored 16/100
Preprint — not yet peer-reviewed. It scored 40 on the same rubric, but non-peer-reviewed sources are capped at 16, so it shows as 16. Scored zero for effect reported and randomised / blinded because the record does not state it. We have no data on 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 25 of the 62 points we could judge it on, which is 40 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 2 / 10 | Tier 4 — not a peer-reviewed journal (medRxiv) |
| Journal's citation record | 0 / 4 | Not a journal article, so the journal's record does not count |
| 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 | 4 / 10 | Preprint — not yet peer-reviewed. Hosted on a preprint server. |
| How recent | 5 / 5 | 2026 — within 1 year(s) of the newest study here |
| Sample size | 3 / 4 | 1,686 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 | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 25 / 62 | Scored on 12 of 20 parts. We have no data for the rest, so they are left out: 25 of the 62 points we could judge it on is 40 out of 100. |
| Total | 40 / 100 | Capped to 16 because this is not a peer-reviewed article. |
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Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
APA 7th
Mounié, A., Sato, K., Nakashima, S., Niimi, Y., & Iwatsubo, T. (2026). Biomarker-Informed Interpretation of Dyadic Cognitive Function Index Scores in Cognitively Unimpaired Older Adults. medRxiv. https://doi.org/10.64898/2026.07.27.26359000
Vancouver
Mounié A, Sato K, Nakashima S, Niimi Y, Iwatsubo T. Biomarker-Informed Interpretation of Dyadic Cognitive Function Index Scores in Cognitively Unimpaired Older Adults. medRxiv. 2026. doi:10.64898/2026.07.27.26359000.
BibTeX
@article{mounie2026-1ed8e428,
author = {Mounié, A. and Sato, K. and Nakashima, S. and Niimi, Y. and Iwatsubo, T.},
title = {{Biomarker-Informed Interpretation of Dyadic Cognitive Function Index Scores in Cognitively Unimpaired Older Adults}},
journal = {medRxiv},
year = {2026},
doi = {10.64898/2026.07.27.26359000},
url = {https://doi.org/10.64898/2026.07.27.26359000}
}
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