ArticleNature communications2022
Multi-cohort and longitudinal Bayesian clustering study of stage and subtype in Alzheimer's disease.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 48 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The hippocampal sparing subtype of Alzheimer's disease assessed in neuropathology and in vivo tau positron emission tomography: a systematic review.Acta neuropathologica communications · 2022Pooled it
- Differential response to donepezil in MRI subtypes of mild cognitive impairment.Alzheimer's research & therapy · 2023Trial
- Machine learning-derived Alzheimer's disease dimensions: neuroanatomical, cognitive, clinical, functional, and genetic risk heterogeneity signatures.medRxiv : the preprint server for health sciences · 2026Article
- Subtyping metabolic dysfunction-associated steatotic liver disease using electronic health record-linked genomic cohorts reveals diverse etiologies and progression.Nature communications · 2026Article
- What Do Persistent Misclassifications Tell Us About Alzheimer's Disease Detection using Structural MRI?medRxiv : the preprint server for health sciences · 2026Article
- Subtyping and staging of Alzheimer's disease from routine structural MRI with PHASE-AD.medRxiv : the preprint server for health sciences · 2026Article
- Co-pathologies and biological processes beyond amyloid-beta and tau in people with Alzheimer's disease: Evidence from clinical cohort studies.Journal of internal medicine · 2026Review
- Multimodal axes reveal individualized amyloid-medRxiv : the preprint server for health sciences · 2026Article
- Decomposing heterogeneity in disease progression speeds and pathways.NPJ digital medicine · 2026Article
- Stratification of Alzheimer's disease patients using knowledge-guided unsupervised latent factor clustering with electronic health record data.Communications medicine · 2026Article
- NeuroFM: Toward Precision Neuroimaging with Foundation Models for Individualized Brain Health Estimation.medRxiv : the preprint server for health sciences · 2026Article
- Heterogeneous patterns of cognitive decline in Alzheimer's disease across three domains of cognition.Journal of Alzheimer's disease : JAD · 2026Article
- Early Behavioral and Cognitive Changes in Patients With Pathologically Confirmed Alzheimer Disease, Lewy Body Dementia, and Mixed Dementia.Neurology open access · 2026Article
- Identifying Alzheimer's Disease Progression Subphenotypes Via a Graph-based Framework Using Electronic Health Records.Journal of healthcare informatics research · 2026Article
- MRI-based atrophy subtypes in a young memory clinic cohort: associations with clinical and biomarker profiles.Alzheimer's research & therapy · 2026Article
- Resolving Heterogeneity in the Diagnosis of Alzheimer's Disease and its Progression Using Multimodal Data.Journal of molecular neuroscience : MN · 2026Article
- Humanized APOE mouse brain volume increases over age irrespective of sex and APOE genotype: implications for translational validity to the human.Frontiers in neuroscience · 2026Article
- Data-driven subtypes of mild cognitive impairment and their modifiable determinants: latent profile analysis of the BIOCIS cohort.NPJ dementia · 2026Article
- Deep learning for Alzheimer's disease: advances in classification, segmentation, subtyping, and explainability.Biomedical engineering online · 2025Review
- Risk and protective factors associated with brain grey matter patterns in a population-based cohort of cognitively unimpaired 70 years old.BMC medicine · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
14 authors.
Funding
Abstract
Understanding Alzheimer's disease (AD) heterogeneity is important for understanding the underlying pathophysiological mechanisms of AD. However, AD atrophy subtypes may reflect different disease stages or biologically distinct subtypes. Here we use longitudinal magnetic resonance imaging data (891 participants with AD dementia, 305 healthy control participants) from four international cohorts, and longitudinal clustering to estimate differential atrophy trajectories from the age of clinical disease onset. Our findings (in amyloid-β positive AD patients) show five distinct longitudinal patterns of atrophy with different demographical and cognitive characteristics. Some previously reported atrophy subtypes may reflect disease stages rather than distinct subtypes. The heterogeneity in atrophy rates and cognitive decline within the five longitudinal atrophy patterns, potentially expresses a complex combination of protective/risk factors and concomitant non-AD pathologies. By alternating between the cross-sectional and longitudinal understanding of AD subtypes these analyses may allow better understanding of disease heterogeneity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.