Methods and honest limits

Limits first

How well the models rank people

C-index ladder bar chartAge/sex/education/APOE4 only (concordance) 0.635 (0.577-0.686); + cognitive tests 0.847 (0.812-0.877); + spinal fluid 0.855 (0.822-0.882); + MRI 0.860 (0.829-0.888); + amyloid PET and glucose PET 0.863 (0.832-0.890)0.50.60.70.80.91.0C-index (axis starts at 0.5 = coin toss)Age/sex/education/APOE4 only (concordance)0.635+ cognitive tests0.847+ spinal fluid0.855adds nothing: CI overlaps cognition-only (0.812โ€“0.877)+ MRI0.860adds nothing: CI overlaps cognition-only (0.812โ€“0.877)+ amyloid PET and glucose PET0.863adds nothing: CI overlaps cognition-only (0.812โ€“0.877)
Concordance on 297 held-out people; bar = point estimate, whisker = 95% CI. The source says each added marker's gain is within chance.

How each result was produced

Conversion ladder
Take people who start with mild cognitive impairment and no dementia. Count how many are later diagnosed with dementia by each follow-up point, allowing for people who drop out of follow-up. Report the share with a 95% confidence interval.
Prediction ladder
Build a risk model on one group of people and test it on a separate group it has never seen. Start with age, sex, education and APOE4, then add memory and thinking tests, then spinal-fluid markers, MRI and PET one at a time. Performance is a concordance score: 0.5 is a coin toss, 1 is perfect. Several tests help define the diagnosis, which flatters them.
Cognition vs biomarkers
The same held-out group, two models: tests only and biomarkers only. Many biomarker values were filled in by imputation, which handicaps that side.
Tau and p-tau, ADAS-Cog, plasma p-tau217, executive function
Rank correlations (Spearman-style) between two measurements in the people who have both, each with a 95% confidence interval. Some of these agree partly by construction, which is why two are held back.
APOE genetic scan
A genome-wide association scan comparing people with normal cognition against people with dementia. It is small, so it cannot find new genes and its odds ratio is inflated by comparing two extreme groups.
ADHD genetic score and cognition
A polygenic score for ADHD liability was tested against memory and thinking scores and their change over time, in a sequenced sample, an independent array sample, and both pooled, with multiple-testing correction. It captures only a few percent of ADHD liability and covers European ancestry only.
DNA methylation
Methylation at ADHD-related genes compared by cognitive status. Only a small number of Alzheimer's participants and a cohort-wide shift mean small effects could not be detected, so this is a weak null.
Mendelian randomisation (MR)
Uses inherited variants as natural experiments to ask whether genetic liability to ADHD changes Alzheimer's risk. Several estimators with different assumptions are run on several Alzheimer's datasets, plus the reverse direction as a sanity check. Agreement across estimators is what counts.

Numbers come from the source files; the site only rounds them for display (3 decimals for odds ratios, betas, CIs and SEs; 3 significant figures for p; 1 decimal for percentages). Exact MR values are at /mr.csv.