ArticleClinical and diagnostic laboratory immunology2001
Detection of immunologically significant factors for chronic fatigue syndrome using neural-network classifiers.
Article in Clinical and diagnostic laboratory immunology, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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.
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Who cites it
18 citing papers in PubMed, 44 citations in OpenAlex.
- A synthetic data generation system for myalgic encephalomyelitis/chronic fatigue syndrome questionnaires.Scientific reports · 2023Article
- Epstein-Barr Virus Induced Gene-2 Upregulation Identifies a Particular Subtype of Chronic Fatigue Syndrome/Myalgic Encephalomyelitis.Frontiers in pediatrics · 2019Review
- Longitudinal associations of lymphocyte subsets with clinical outcomes in chronic fatigue syndrome.Fatigue : biomedicine, health & behavior · 2018Article
- Identifying Key Symptoms Differentiating Myalgic Encephalomyelitis and Chronic Fatigue Syndrome from Multiple Sclerosis.Neurology (E-Cronicon) · 2016Article
- An investigation of symptoms predating CFS onset.Journal of prevention & intervention in the community · 2015Article
- Myalgic Encephalomyelitis: Symptoms and Biomarkers.Current neuropharmacology · 2015Review
- Examining case definition criteria for chronic fatigue syndrome and myalgic encephalomyelitis.Fatigue : biomedicine, health & behavior · 2014Article
- Exercise and sleep deprivation do not change cytokine expression levels in patients with chronic fatigue syndrome.Clinical and vaccine immunology : CVI · 2013Article
- Sub-typing daily fatigue progression in chronic fatigue syndrome.Journal of mental health (Abingdon, England) · 2013Article
- Energy Conservation/Envelope Theory Interventions to Help Patients with Myalgic Encephalomyelitis/Chronic Fatigue Syndrome.Fatigue : biomedicine, health & behavior · 2013Article
- Cytokines across the night in chronic fatigue syndrome with and without fibromyalgia.Clinical and vaccine immunology : CVI · 2010Article
- Evidence for T-helper 2 shift and association with illness parameters in chronic fatigue syndrome (CFS).Bulletin of the IACFS/ME · 2008Article
- Specific correlations between muscle oxidative stress and chronic fatigue syndrome: a working hypothesis.Journal of muscle research and cell motility · 2007Review
- Immunological dysfunction, vaccination and Gulf War illness.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2006Article
- High levels of type 2 cytokine-producing cells in chronic fatigue syndrome.Clinical and experimental immunology · 2004Article
- Evidence for the presence of immune dysfunction in chronic fatigue syndrome.Clinical and diagnostic laboratory immunology · 2002Review
- Chronic Fatigue Syndrome and Myalgic Encephalomyelitis: Toward An Empirical Case Definition.Health psychology and behavioral medicineArticle
- Defining Essential Features of Myalgic Encephalomyelitis and Chronic Fatigue Syndrome.Journal Of Human Behavior In The Social EnvironmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
Abstract
Neural-network classifiers were used to detect immunological differences in groups of chronic fatigue syndrome (CFS) patients that heretofore had not shown significant differences from controls. In the past linear methods were unable to detect differences between CFS groups and non-CFS control groups in the nonveteran population. An examination of the cluster structure for 29 immunological factors revealed a complex, nonlinear decision surface. Multilayer neural networks showed an over 16% improvement in an n-fold resampling generalization test on unseen data. A sensitivity analysis of the network found differences between groups that are consistent with the hypothesis that CFS symptoms are a consequence of immune system dysregulation. Corresponding decreases in the CD19(+) B-cell compartment and the CD34(+) hematopoietic progenitor subpopulation were also detected by the neural network, consistent with the T-cell expansion. Of significant interest was the fact that, of all the cytokines evaluated, the only one to be in the final model was interleukin-4 (IL-4). Seeing an increase in IL-4 suggests a shift to a type 2 cytokine pattern. Such a shift has been hypothesized, but until now convincing evidence to support that hypothesis has been lacking.
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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.