ArticleScientific reports2018
Prediction Models of Cognitive Trajectories in Patients with Nonamnestic Mild Cognitive Impairment.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed, 35 citations in OpenAlex.
- Biomarker-integrated prognostic stagings for Alzheimer's Disease.Nature communications · 2026Article
- Memory Gate Controlled by Contexts: Potential Key Structure That Could Link Small Associative Failures With Severe Cognitive Disorders.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025Review
- Predictive Models for the Transition from Mild Neurocognitive Disorder to Major Neurocognitive Disorder: Insights from Clinical, Demographic, and Neuropsychological Data.Biomedicines · 2024Article
- Characterizing the clinical heterogeneity of early symptomatic Alzheimer's disease: a data-driven machine learning approach.Frontiers in aging neuroscience · 2024Article
- Uncovering heterogeneous cognitive trajectories in mild cognitive impairment: a data-driven approach.Alzheimer's research & therapy · 2023Article
- Classification and prediction of cognitive trajectories of cognitively unimpaired individuals.Frontiers in aging neuroscience · 2023Article
- Effects of cognitive ageing trajectories on multiple adverse outcomes among Chinese community-dwelling elderly population.BMC geriatrics · 2022Article
- Cognitive trajectories in multiple sclerosis: a long-term follow-up study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022Article
- Patterns of multi-domain cognitive aging in participants of the Long Life Family Study.GeroScience · 2020Article
- Complement protein levels in plasma astrocyte-derived exosomes are abnormal in conversion from mild cognitive impairment to Alzheimer's disease dementia.Alzheimer's & dementia (Amsterdam, Netherlands) · 2019Article
- Data-driven prognostic features of cognitive trajectories in patients with amnestic mild cognitive impairments.Alzheimer's research & therapy · 2019Article
- Distinct Disruptive Patterns of Default Mode Subnetwork Connectivity Across the Spectrum of Preclinical Alzheimer's Disease.Frontiers in aging neuroscience · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
To evaluate prediction models of cognitive trajectories in patients with nonamnestic mild cognitive impairment (naMCI) using group-based trajectory analysis, we evaluated 121 patients with naMCI who underwent at least their first three yearly assessments. Group-based trajectory models were used to classify cognitive trajectories based on Clinical Dementia Rating Sum of Boxes scores over four years in patients with naMCI. A total of 22 patients (18.2%) were classified into the "fast-decliners" group, while 99 patients (81.8%) were classified into the "slow-decliners" group. The mean age was higher in the fast-decliners than in the slow-decliners (p = 0.037). Compared to the slow-decliners, the fast-decliners were more frequently impaired in the domains of language (p = 0.038) and frontal/executive functions (p = 0.042), and had more frequent multiple-domain cognitive impairment (p = 0.006) on baseline neuropsychological tests. The rate of conversion to dementia was significantly higher in the fast-decliners than in the slow-decliners (86.4% vs. 10.1%, p < 0.001). Our findings showed that there are indeed distinct patterns of cognitive trajectories in patients with naMCI. Close observation of naMCI patients' baseline demographic and clinical profiles in clinical settings may help identify individuals at greatest risk for dementia.
Indexed as
Identifiers
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.