ArticleGeroScience2026
Bidirectional prognostic predictions of conversion and reversion in amnestic mild cognitive impairment.
Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
No grant is acknowledged in the PubMed record.
Abstract
Amnestic mild cognitive impairment (aMCI) and Alzheimer's disease (AD) are closely related. While some aMCI patients convert to AD (conversion), some revert to age-appropriate cognitive functioning (reversion). Early identification of these bidirectional trajectories informs aMCI-AD pathology and aids patient management. Data from 129 aMCI participants in the Alzheimer's Disease Neuroimaging Initiative, who either converted or reverted, were analyzed. Baseline and longitudinal data relative to exact conversion and reversion times were incorporated to evaluate predictive power using support vector machine analysis. The accuracy of three models, each utilizing different data modalities, was compared. Neurobiological markers associated with these clinical trajectories were examined. The model incorporating brain volumetric changes achieved 92.31% accuracy in classifying conversion vs. reversion. Key neural markers included left inferior lateral ventricle volume for conversion times, left inferior temporal gyrus volume for cognitive status at conversion, and hippocampal and amygdala volumes for memory performance at conversion. The models offer bidirectional, prognostic predictions in aMCI patients. Identified markers provide valuable insights for early intervention. This study informs strategies to reduce AD incidence and optimize resource allocation, contributing to a more comprehensive understanding of disease trajectories and effective management.
Indexed as
Identifiers
41774085What 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.