Safety of Biologic and Targeted Synthetic Disease-Modifying Antirheumatic Drugs in Rheumatoid Arthritis: A Longitudinal Analysis - Scorecard - MDSpire

Safety of Biologic and Targeted Synthetic Disease-Modifying Antirheumatic Drugs in Rheumatoid Arthritis: A Longitudinal Analysis

  • By

  • Kuan Peng

  • Vincent K. C. Yan

  • Shirley C. W. Chan

  • Ju-Young Shin

  • Edward Chia‑Cheng Lai

  • Nicole L. Pratt

  • Esther W. Y. Chan

  • Chak-sing Lau

  • Xue Li

  • June 26, 2026

  • 0 min

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Clinical Scorecard: Long-Term Safety Assessment of Biologic and Targeted Synthetic DMARDs in Patients with Rheumatoid Arthritis: A Longitudinal Study

At a Glance

CategoryDetail
ConditionRheumatoid Arthritis
Key MechanismsBiologic and targeted synthetic disease-modifying antirheumatic drugs (b/ts DMARDs) manage RA by targeting specific pathways involved in inflammation.
Target PopulationAdult patients (age ≥18 years) with rheumatoid arthritis initiated on at least one b/ts DMARD.
Care SettingPopulation-based study using electronic medical records from a territory-wide database.

Key Highlights

  • Long-term safety profiles of b/ts DMARDs are broadly similar across agents.
  • Tocilizumab linked to higher hospitalization rates compared to etanercept.
  • Tofacitinib associated with an elevated risk of gastritis.

Guideline-Based Recommendations

Diagnosis

  • Identification of RA based on the International Classification of Diseases, Ninth Revision, Clinical Modification (714.0).

Management

  • Consider efficacy and patient preference when selecting b/ts DMARDs.

Monitoring & Follow-up

  • Monitor for serious infections, cardiovascular events, and malignancies associated with b/ts DMARDs.

Risks

  • Increased risk of serious infections, cardiovascular events, and malignancies with certain b/ts DMARDs.

Patient & Prescribing Data

Adult patients with rheumatoid arthritis initiated on b/ts DMARDs from 2009 to 2022.

Robust evidence from observational studies is necessary to inform treatment decisions.

Clinical Best Practices

  • Utilize advanced statistical methods to account for biases in observational data.
  • Employ marginal structural models to evaluate drug safety in real-world populations.

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