ReviewNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2026
The roles of biomarkers in Alzheimer's disease clinical trials.
Review in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- A compound pulsed magnetic field achieves superior cognitive benefits against Alzheimer's disease progression via multi-level restoration of neural oscillations and cerebral perfusion.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Biomarkers are essential to guide decision making in Alzheimer's disease (AD) clinical trials where they have a variety of contexts of use (COUs) including diagnosis, risk, pharmacodynamic response, prognosis, prediction, monitoring, and safety. The COU of biomarkers may differ by phase of drug development with Phase 1, 2, and 3 emphasizing different types of information for decision making. A variety of biomarkers are currently serving as pharmacodynamic outcomes in clinical trials including amyloid and tau PET and fluid measures of amyloid, tau, neurodegeneration, inflammation, and synaptic plasticity. Biomarker strategies are integrated throughout drug development programs from collection and assay performance to statistical analysis and data interpretation. Data interrogation approaches using artificial intelligence and machine learning may enhance the value of biomarker observations through integration of multimodal data. Emerging biomarkers that may play a role in future AD trials include proteomics, exosome assays of co-pathology occurring in AD, EEG, ocular measures, and digital biomarkers. Biomarkers inform drug development decision-making including termination of candidate agents without sufficient biomarker effects, resourcing of promising therapies impacting the fundamental features of AD, and accelerating the development of new therapies for those with or at risk for AD.
Indexed as
Identifiers
What Socratic 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 Socratic graph.