Meta-analysis of factors for osteonecrosis in systemic lupus erythematosus: integration of comprehensive literatures and multicenter databases - Summary - MDSpire

Meta-analysis of factors for osteonecrosis in systemic lupus erythematosus: integration of comprehensive literatures and multicenter databases

  • By

  • Rui-Cen Li

  • Lin-Chong Su

  • An-Fang Huang

  • Wang-Dong Xu

  • Xiao-Yan Liu

  • July 2, 2026

  • 0 min

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Objective:

To investigate the factors related to osteonecrosis (ON) in patients with systemic lupus erythematosus (SLE) and provide a basis for early prevention and control.

Approach:
  • Literature Search: A comprehensive search of relevant literature was conducted across multiple databases, assessing 3,051 studies for inclusion based on specific criteria.
  • Meta-Analysis: 64 studies were included in the meta-analysis to evaluate associations between various factors and SLE-ON.
Key Findings:
  • Neuropsychiatric lupus (OR = 1.652), hyperlipidemia (OR = 1.358), oral ulcers (OR = 1.319), pleuritis (OR = 2.225), malar rash (OR = 1.311), vasculitis (OR = 2.638), serositis (OR = 1.514), hematologic involvement (OR = 1.190), Reynaud’s phenomenon (OR = 1.604), thrombophlebitis (OR = 1.856), and arthritis (OR = 1.256) are positively related to SLE-ON risk.
  • Laboratory features such as proteinuria (OR = 1.635) and antiphospholipid antibody (OR = 1.450) are also positively associated with SLE-ON.
  • Cyclophosphamide (OR = 1.869) and steroid pulse therapy (OR = 1.829) correlate positively with SLE-ON occurrence.
  • Younger age (SMD=−0.175) and age at onset (SMD=−0.426) are significantly related to the development of SLE-ON.
  • Anti-SSA (OR = 0.805) and anti-SSB antibodies (OR = 0.764) are negatively related to SLE-ON susceptibility.
Interpretation:

A total of 32 factors, including clinical, laboratory features, drug usage, and basic information, are related to SLE complicated with osteonecrosis. The association between cyclophosphamide/steroid pulse therapy and SLE-ON risk may be confounded by underlying disease severity.

Limitations:
  • Heterogeneity in study designs, sample sizes, and diagnostic criteria may affect the consistency of results.
  • Interpretation of results regarding drug usage and SLE-ON risk should be approached with caution due to potential confounding factors.
Conclusion:

Identifying and managing modifiable risk factors may help reduce SLE-ON risk.

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