Long-term Infection Risk

Uses

Evidence quality

Highlighted claims

• The protocol includes infection incidence, infection hospitalisation, and infection mortality as eligible outcomes. — Long-term infection risks in haematological cancer survivors compared with individuals with no cancer history: protocol for a systematic review aided by artificial intelligence-based methods
• Included studies must have average follow-up of at least one year from haematological cancer diagnosis. — Long-term infection risks in haematological cancer survivors compared with individuals with no cancer history: protocol for a systematic review aided by artificial intelligence-based methods
• The review asks whether infection incidence and infection mortality remain elevated at least one year after haematological cancer diagnosis. — Long-term infection risks in haematological cancer survivors compared with individuals with no cancer history: protocol for a systematic review aided by artificial intelligence-based methods
• Existing cohort studies have reported adverse infection outcomes in real-world survivors more than 10 years after diagnosis for influenza and more than 5 years after diagnosis for COVID-19. — Long-term infection risks in haematological cancer survivors compared with individuals with no cancer history: protocol for a systematic review aided by artificial intelligence-based methods
• Chronic infections require attention to whether infection occurred after cancer diagnosis rather than representing pre-existing infection or carrier status. — Long-term infection risks in haematological cancer survivors compared with individuals with no cancer history: protocol for a systematic review aided by artificial intelligence-based methods