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Quantifying Uncertainty in Alzheimer's Disease Progression Modelling: A Variational Disease Progression Score Framework
Ngamsaowaros, T.; Bodala, I.; Michopoulou, S.; Niranjan, M.. medRxiv (preprint), 2026-08-22
Topic: Amyloid, tau and blood-test diagnosis
Using the ADNI dataset, we found that the model realigned patients according to their clinical diagnoses.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Ngamsaowaros, T., Bodala, I., Michopoulou, S., & Niranjan, M. (2026). Quantifying Uncertainty in Alzheimer's Disease Progression Modelling: A Variational Disease Progression Score Framework. medRxiv (preprint). https://doi.org/10.64898/2026.08.19.26360855
Vancouver
Ngamsaowaros T, Bodala I, Michopoulou S, Niranjan M. Quantifying Uncertainty in Alzheimer's Disease Progression Modelling: A Variational Disease Progression Score Framework. medRxiv (preprint). 2026. doi:10.64898/2026.08.19.26360855.
BibTeX
@article{ngamsaowaros2026-fc5c63e5,
author = {Ngamsaowaros, T. and Bodala, I. and Michopoulou, S. and Niranjan, M.},
title = {{Quantifying Uncertainty in Alzheimer's Disease Progression Modelling: A Variational Disease Progression Score Framework}},
journal = {medRxiv (preprint)},
year = {2026},
doi = {10.64898/2026.08.19.26360855},
url = {https://doi.org/10.64898/2026.08.19.26360855}
}
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.
Key findings
- Using the ADNI dataset, we found that the model realigned patients according to their clinical diagnoses.
Why it matters
This modelling work used the ADNI dataset and found that the model realigned patients according to their clinical diagnoses. It is a methodological tool for tracking disease progression and does not itself test any treatment, cure or prevention.
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Study details
- Study designlongitudinal study
- Effect sizeAUC 0.98
- Evidence strengthModerate
How this study scored 16/100
Preprint — not yet peer-reviewed. It scored 33 on the same rubric, but non-peer-reviewed sources are capped at 16, so it shows as 16. Scored zero for sample size, studied in people and randomised / blinded because the record does not state it. We have no data on impact for its field and year, so that was left out: it earned 31 of the 94 points we could judge it on, which is 33 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 2 / 10 | Tier 4 — not a peer-reviewed journal (medRxiv (preprint)) |
| Journal's citation record | 0 / 4 | Not a journal article, so the journal's record does not count |
| Study design | 7 / 12 | A longitudinal study following the same people over 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 | 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 | 0 / 7 | Cited 0 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.0 citations a year over 2 year(s) since 2026 |
| 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 | 0 / 6 | No other study in this library cites it |
| Still being cited | 0 / 4 | Cited 0 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Mahesan Niranjan: h-index 33 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | University of Southampton: institution h-index 938 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 1 / 2 | Not in PubMed, but has a DOI |
| Free to read | 2 / 2 | Free to read |
| Points | 31 / 94 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 31 of the 94 points we could judge it on is 33 out of 100. |
| Total | 33 / 100 | Capped to 16 because this is not a peer-reviewed article. |
What each of these 20 components measures, and what this score is not →
Read the original
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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