ArticlePatient preference and adherence2018
Predicting medication nonadherence risk in a Chinese inflammatory rheumatic disease population: development and assessment of a new predictive nomogram.
Article in Patient preference and adherence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.
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66 citing papers in PubMed, 111 citations in OpenAlex.
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- Development of a nomogram for predicting the risk of carcinoma in chronic atrophic gastritis.Discover oncology · 2025Article
- Development and Validation of a New Nomogram for Predicting Medication Nonadherence Risk in a Chinese Hyperlipidemia Population.Patient preference and adherence · 2025Article
- Association of the Driving Distance, Driving Time, and Public Transit Time to the Hospital with the Persistence of Tumor Necrosis Factor Inhibitors in Patients With Ankylosing Spondylitis: A Retrospective Cohort Study.Patient preference and adherence · 2025Article
- Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms.Frontiers in bioengineering and biotechnology · 2025Article
- Using Olink Proteomics to Identify Inflammatory Biomarkers in the Cerebrospinal Fluid in Guillain-Barré Syndrome.Journal of inflammation research · 2025Article
- A nomogram for predicting nutritional risk before gastric cancer surgery.Asia Pacific journal of clinical nutrition · 2024Article
- Constructing and validating a predictive nomogram for osteoporosis risk among Chinese single-center male population using the systemic immune-inflammation index.Scientific reports · 2024Article
- Investigating the risk factors for nonadherence to analgesic medications in cancer patients: Establishing a nomogram model.Heliyon · 2024Article
- Construction of the underlying circRNA-miRNA-mRNA regulatory network and a new diagnostic model in ulcerative colitis by bioinformatics analysis.World journal of clinical cases · 2024Article
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- Establishment and validation of a nomogram predicting the risk of deep vein thrombosis before total knee arthroplasty.Thrombosis journal · 2024Article
- Establishment of a risk prediction model for bowel necrosis in patients with incarcerated inguinal hernia.BMC medical informatics and decision making · 2024Article
- Identification of Hub Genes and Immune Infiltration in Coronary Artery Disease: A Risk Prediction Model.Journal of inflammation research · 2024Article
- A multivariable model of ultrasound and biochemical parameters for predicting high-volume lymph node metastases of papillary thyroid carcinoma with Hashimoto's thyroiditis.Frontiers in endocrinology · 2024Article
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6 more citing papers are in PubMed but not listed here.
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim of this study was to develop and internally validate a medication nonadherence risk nomogram in a Chinese population of patients with inflammatory rheumatic diseases. PATIENTS AND
methodsWe developed a prediction model based on a training dataset of 244 IRD patients, and data were collected from March 2016 to May 2016. Adherence was evaluated using 19-item Compliance Questionnaire Rheumatology. The least absolute shrinkage and selection operator regression model was used to optimize feature selection for the medication nonadherence risk model. Multivariable logistic regression analysis was applied to build a predicting model incorporating the feature selected in the least absolute shrinkage and selection operator regression model. Discrimination, calibration, and clinical usefulness of the predicting model were assessed using the
resultsPredictors contained in the prediction nomogram included use of glucocorticoid (GC), use of nonsteroidal anti-inflammatory drugs, number of medicine-related questions, education level, and the distance to hospital. The model displayed good discrimination with a
conclusionThis novel nonadherence nomogram incorporating the use of GC, the use of nonsteroidal anti-inflammatory drugs, the number of medicine-related questions, education level, and distance to hospital could be conveniently used to facilitate the individual medication nonadherence risk prediction in IRD patients.
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