ArticleRheumatology and therapy2020
Clinical Utility and Cost Savings in Predicting Inadequate Response to Anti-TNF Therapies in Rheumatoid Arthritis.
Article in Rheumatology and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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
14 citing papers in PubMed, 28 citations in OpenAlex.
- Long-term Comparative Adherence and Switch Rates in Patients Receiving Advanced Therapies for Rheumatoid Arthritis After Use of One TNF Inhibitor.Rheumatology and therapy · 2026Article
- Immune-cell profiling to guide stratification and treatment of patients with rheumatic diseases.Nature reviews. Rheumatology · 2025Review
- Machine learning-based prediction of response to Janus kinase inhibitors in patients with rheumatoid arthritis using clinical data.Frontiers in immunology · 2025Article
- Real-World Use and Effectiveness Outcomes in Patients with Rheumatoid Arthritis Treated with Upadacitinib: An Analysis from the CorEvitas Registry.Rheumatology and therapy · 2024Article
- Real-World Treatment and Care Patterns in Patients With Rheumatoid Arthritis Initiating First-Line Tumor Necrosis Factor Inhibitor Therapy in the United States.ACR open rheumatology · 2024Article
- One-Year Medication Adherence and Persistence in Rheumatoid Arthritis in Clinical Practice: A Retrospective Analysis of Upadacitinib, Adalimumab, Baricitinib, and Tofacitinib.Advances in therapy · 2023Article
- Real-World Sarilumab Use and Rule Testing to Predict Treatment Response in Patients with Rheumatoid Arthritis: Findings from the RISE Registry.Rheumatology and therapy · 2023Article
- Tailored therapeutic decision of rheumatoid arthritis using proteomic strategies: how to start and when to stop?Clinical proteomics · 2023Review
- Association of tumor necrosis factor-alpha promoter region gene polymorphism at positions -308G/A, -857C/T, and -863C/A with etanercept response in Iraqi rheumatoid arthritis patients.Archives of rheumatology · 2022Article
- IL-10 Induced by mTNF Crosslinking-Mediated Reverse Signaling in a Whole Blood Assay Is Predictive of Response to TNFi Therapy in Rheumatoid Arthritis.Journal of personalized medicine · 2022Article
- Longitudinal analysis of blood DNA methylation identifies mechanisms of response to tumor necrosis factor inhibitor therapy in rheumatoid arthritis.EBioMedicine · 2022Article
- Precision Medicine: An Optimal Approach to Patient Care in Renal Cell Carcinoma.Frontiers in medicine · 2022Review
- Guided therapy selection in rheumatoid arthritis using a molecular signature response classifier: an assessment of budget impact and clinical utility.Journal of managed care & specialty pharmacy · 2021Article
- A Molecular Signature Response Classifier to Predict Inadequate Response to Tumor Necrosis Factor-α Inhibitors: The NETWORK-004 Prospective Observational Study.Rheumatology and therapy · 2021Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe PrismRA
methodsA decision-analytic model was created to evaluate clinical and economic outcomes in the 12-month period following first biologic treatment. Two treatment strategies were compared: (1) observed clinical decision-making based on a 175-patient cohort receiving an anti-TNF therapy as their first biologic after failure of conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) and (2) modeled clinical decision-making of the same population using PrismRA results to inform first-line biologic treatment choice. Modeled costs include biologic drug pharmacy, non-biologic pharmacy, and total medical costs. The odds of inadequate response to anti-TNF therapies and various components of patient care were calculated based on PrismRA results.
resultsIdentifying predicted inadequate responders to anti-TNF therapies resulted in a modeled 38% increase in ACR50 response to first-line biologic therapies. The fraction of patients who achieved an ACR50 response to any therapy (TNFi and others) within the 12-month period was 33% higher in the PrismRA-stratified population than in the unstratified population (59 vs. 44%, respectively). When therapy prescriptions were modeled according to PrismRA results, cost savings were modeled for all financial variables: overall costs (4% decreased total, 19% decreased on ineffective treatments), total biologic drug pharmacy (4% total, 23% ineffective), non-biologic pharmacy (2% total, 19% ineffective), and medical costs (6% total, 19% ineffective). Female sex was the clinical metric that showed the greatest association with inadequate response to anti-TNF therapies (odds ratio 2.42, 95% confidence interval 1.20, 4.88).
conclusionsIf PrismRA is implemented into routine clinical care as modeled, predicting which RA patients will have an inadequate response to anti-TNF therapies could save > $7 million in overall ineffective healthcare costs per 1000 patients tested and increase targeted DMARD response rates in RA.
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