ArticleNeurology2021
Finding Treatment Effects in Alzheimer Trials in the Face of Disease Progression Heterogeneity.
Article in Neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 4 of them syntheses 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
63 citing papers in PubMed, 4 syntheses or guidelines pooled it, 79 citations in OpenAlex.
- Cost-effectiveness of testing biofluid biomarkers to diagnose Alzheimer's disease: a systematic review.The European journal of health economics : HEPAC : health economics in prevention and care · 2026Pooled it
- Updated Appropriate Use Criteria for Amyloid and Tau PET: A Report from the Alzheimer's Association and Society for Nuclear Medicine and Molecular Imaging Workgroup.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2025Pooled it
- Updated appropriate use criteria for amyloid and tau PET: A report from the Alzheimer's Association and Society for Nuclear Medicine and Molecular Imaging Workgroup.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Pooled it
- Prognostic and Predictive Factors in Early Alzheimer's Disease: A Systematic Review.Journal of Alzheimer's disease reports · 2024Pooled it
- Multimodal prognostic modeling of individual cognitive trajectories to enhance trial efficiency in preclinical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Trial
- Synthetic control methods for n-of-1 and parallel-group trials in Alzheimer's disease: A proof-of-concept study using the I-CONECT.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Trial
- Allogeneic mesenchymal stem cell therapy with laromestrocel in mild Alzheimer's disease: a randomized controlled phase 2a trial.Nature medicine · 2025Trial
- Implications of the Approval of Lecanemab for Alzheimer Disease Patient Care: Incremental Step or Paradigm Shift?Neurology · 2023Trial
- EOAD-Signature Atrophy Predicts Dementia in Early-Onset MCI due to Alzheimer Disease: An MRI-Based Prognostic Biomarker.Neurology · 2026Article
- Multi-dimensional attention framework for personalised Alzheimer's disease progression prediction across sporadic and genetic risk cohorts.Research square · 2026Article
- Article
- A digital twin methodology using retrospective patient data for sample size reduction in Alzheimer's disease clinical trials.Alzheimer's research & therapy · 2026Article
- Treatment Effects of Cholinesterase Inhibitors in Alzheimer's Disease: a Causal Machine Learning Approach.medRxiv : the preprint server for health sciences · 2026Article
- CSF proteomic profiles related to cognitive decline in MCI A+ depend on tau levels.Brain : a journal of neurology · 2025Article
- Medical risk factors, ApoE haplotype, and Alzheimer's disease: a large-scale analysis.The journal of prevention of Alzheimer's disease · 2025Article
- A digital twin methodology using real patient data for sample size reduction in Alzheimer's disease randomized controlled clinical trials.medRxiv : the preprint server for health sciences · 2025Article
- Predicting future cognitive impairment in preclinical Alzheimer's disease using multimodal imaging: a multisite machine learning study.medRxiv : the preprint server for health sciences · 2025Article
- Editorial: Real-World Outcomes of Disease-Modifying Therapies Highlight the Need for Diagnostic Biomarkers in Early Alzheimer's Disease.Medical science monitor : international medical journal of experimental and clinical research · 2025Article
- AI-guided patient stratification improves outcomes and efficiency in the AMARANTH Alzheimer's Disease clinical trial.Nature communications · 2025Article
- Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 3 countries.
Funding
Abstract
objectiveTo investigate the influence of heterogeneity in disease progression for detecting treatment effects in Alzheimer disease (AD) trials, using a simulation study.
methodsIndividuals with an abnormal amyloid PET scan, diagnosis of mild cognitive impairment or dementia, baseline Mini-Mental State Examination (MMSE) score ≥24, global Clinical Dementia Rating (CDR) score of 0.5, and ≥1 follow-up cognitive assessment were selected from the Alzheimer's Disease Neuroimaging Initiative database (n = 302, age 73 ± 6.7; 44% female; 16.1 ± 2.7 years of education; 69%
resultsIndividual trajectories on all cognitive outcomes were highly variable, and the 95% ranges of possible effect sizes at 18 months were broad (e.g., ranging from 0.35 improvement to 0.35 decline on the CDR-SB). Results of recent anti-amyloid trials mostly fell within these 95% ranges of effect sizes.
conclusionsIndividuals with early AD show heterogeneity in disease progression, which increases when stratifying on risk factors associated with progression. We provide guidance for a priori effect sizes on cognitive outcomes for detecting true change, which is crucial for future AD trials.
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What OpenQuestion holds
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.