ArticleJournal of clinical medicine2022
Autoimmune Disease Classification Based on PubMed Text Mining.
Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Clinical and prognostic significance of concomitant autoimmune disease in patients with myelofibrosis.Annals of hematology · 2026Article
- Divergent autoimmune genetic landscapes in diabetic and non-diabetic individuals.BMC genomic data · 2026Article
- Consensus Molecules Associated with Parkinson's Disease.Neurology international · 2026Review
- Sex-Specific Autoimmune Comorbidity Patterns in Pemphigus Vulgaris and Bullous Pemphigoid: A Bicenter Retrospective Case-Control Study.Medicina (Kaunas, Lithuania) · 2025Article
- Review
- A Scoping Review on the Prevalence of Hashimoto's Thyroiditis and the Possible Associated Factors.Medical sciences (Basel, Switzerland) · 2025Article
- Survival after surgery for lung cancer among patients with autoimmune diseases.Surgery today · 2025Article
- Research Advances in Clinical Strategies and Preclinical Models for Syphilis Relapse.Infection and drug resistance · 2025Review
- Disease association study of Autoimmune and autoinflammatory diseases by integrating multi-modal data and hierarchical ontologies.Frontiers in immunology · 2025Article
- Large-scale global retrospective study on the interaction between ancestry and risk of comorbid autoimmune diseases in patients with pemphigus.Scientific reports · 2024Article
- Animal models of neuropsychiatric systemic lupus erythematosus: deciphering the complexity and guiding therapeutic development.Autoimmunity · 2024Review
- Lupus and other autoimmune diseases: Epidemiology in the population of African ancestry and diagnostic and management challenges in Africa.The journal of allergy and clinical immunology. Global · 2024Review
- Genetic association with autoimmune diseases identifies molecular mechanisms of coronary artery disease.iScience · 2024Article
- Coenzyme Q10 and Autoimmune Disorders: An Overview.International journal of molecular sciences · 2024Review
- Autoimmune diseases and myelodysplastic syndromes.Reumatologia · 2024Review
- Polyamine Dysregulation and Nucleolar Disruption in Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2024Article
- The Usefulness of Thyroid Antibodies in the Diagnostic Approach to Autoimmune Thyroid Disease.Antibodies (Basel, Switzerland) · 2023Review
- Success Rate of Dental Implants in Patients with Autoimmune Disorders: A Systematic Review and Meta-Analysis.Journal of International Society of Preventive & Community DentistryReview
- Survival and Success of Dental Implants in Patients with Autoimmune Diseases: a Systematic Review.Journal of oral & maxillofacial researchReview
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.
Funding
Abstract
Autoimmune diseases (AIDs) are often co-associated, and about 25% of patients with one AID tend to develop other comorbid AIDs. Here, we employ the power of datamining to predict the comorbidity of AIDs based on their normalized co-citation in PubMed. First, we validate our technique in a test dataset using earlier-reported comorbidities of seven knowns AIDs. Notably, the prediction correlates well with comorbidity (R = 0.91) and validates our methodology. Then, we predict the association of 100 AIDs and classify them using principal component analysis. Our results are helpful in classifying AIDs into one of the following systems: (1) gastrointestinal, (2) neuronal, (3) eye, (4) cutaneous, (5) musculoskeletal, (6) kidneys and lungs, (7) cardiovascular, (8) hematopoietic, (9) endocrine, and (10) multiple. Our classification agrees with experimentally based taxonomy and ranks AID according to affected systems and gender. Some AIDs are unclassified and do not associate well with other AIDs. Interestingly, Alzheimer's disease correlates well with other AIDs such as multiple sclerosis. Finally, our results generate a network classification of autoimmune diseases based on PubMed text mining and help map this medical universe. Our results are expected to assist healthcare workers in diagnosing comorbidity in patients with an autoimmune disease, and to help researchers in identifying common genetic, environmental, and autoimmune mechanisms.
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.