ArticleInternational journal of molecular sciences2019
Machine Learning to Understand the Immune-Inflammatory Pathways in Fibromyalgia.
Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis 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
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Sexually Dimorphic Neuroimmune Pathways in Chronic Pain: A Comprehensive Systematic Review of Cellular and Molecular Mechanisms.Biomolecules · 2026Pooled it
- Associations of sedentary behavior and physical activity with sleep disorders in patients with osteoarthritis: The mediating role of inflammatory biomarkers.Osteoarthritis and cartilage open · 2026Article
- Development of a Novel 11-Gene Signature Related to Immune Subtypes for FibromyalgiaEndocrine, metabolic & immune disorders drug targets · 2026Article
- Disease Phenotypes in Refractory Musculoskeletal Pain Syndromes Identified by Unsupervised Machine Learning.ACR open rheumatology · 2024Article
- Immune response and cytokine profiles in post-laminectomy pain syndrome: comparative analysis after treatment with intrathecal opioids, oral opioids, and non-opioid therapies.Inflammopharmacology · 2024Article
- Methylation factors as biomarkers of fibromyalgia.Annals of translational medicine · 2023Article
- Multiplex Analysis of Serum Cytokine Profiles in Systemic Lupus Erythematosus and Multiple Sclerosis.International journal of molecular sciences · 2022Article
- Enhanced Patient-Centricity: How the Biopharmaceutical Industry Is Optimizing Patient Care through AI/ML/DL.Healthcare (Basel, Switzerland) · 2022Review
- Elevated highly sensitive C-reactive protein in fibromyalgia associates with symptom severity.Rheumatology advances in practice · 2022Article
- A Study of the Recent Trends of Immunology: Key Challenges, Domains, Applications, Datasets, and Future Directions.Sensors (Basel, Switzerland) · 2021Review
- Personalized Medicine Using Neuroimmunological Biomarkers in Depressive Disorders.Journal of personalized medicine · 2021Review
- Overtraining Syndrome as a Complex Systems Phenomenon.Frontiers in network physiology · 2021Review
- IL-6 and hsCRP in Somatic Symptom Disorders and related disorders.Brain, behavior, & immunity - health · 2020Article
- Chronic Pain Diagnosis Using Machine Learning, Questionnaires, and QST: A Sensitivity Experiment.Diagnostics (Basel, Switzerland) · 2020Article
- Review
- Activation of Transposable Elements in Immune Cells of Fibromyalgia Patients.International journal of molecular sciences · 2020Article
- T Cell Subpopulations in the Physiopathology of Fibromyalgia: Evidence and Perspectives.International journal of molecular sciences · 2020Review
- Article
- Objective Diagnosis of Fibromyalgia Using Neuroretinal Evaluation and Artificial Intelligence.International journal of clinical and health psychology : IJCHPArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
Abstract
Fibromyalgia (FM) is a chronic syndrome characterized by widespread musculoskeletal pain, and physical and emotional symptoms. Although its pathophysiology is largely unknown, immune-inflammatory pathways may be involved. We examined serum interleukin (IL)-6, high sensitivity C-reactive protein (hs-CRP), CXCL-8, and IL-10 in 67 female FM patients and 35 healthy women while adjusting for age, body mass index (BMI), and comorbid disorders. We scored the Fibromyalgia Severity Score, Widespread Pain Index (WPI), Symptom Severity Scale (SSS), Hospital Anxiety (HADS-A), and Depression Scale and the Perceived Stress Scale (PSS-10). Clinical rating scales were significantly higher in FM patients than in controls. After adjusting for covariates, IL-6, IL-10, and CXCL-8 were lower in FM than in HC, whereas hs-CRP did not show any difference. Binary regression analyses showed that the diagnosis FM was associated with lowered IL-10, quality of sleep, aerobic activities, and increased HADS-A and comorbidities. Neural networks showed that WPI was best predicted by quality of sleep, PSS-10, HADS-A, and the cytokines, while SSS was best predicted by PSS-10, HADS-A, and IL-10. Lowered levels of cytokines are associated with FM independently from confounders. Lowered IL-6 and IL-10 signaling may play a role in the pathophysiology of FM.
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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 Socratic graph.