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Prognostic value of the response to prednisone for children with acute lymphoblastic leukemia: a meta-analysis

J Gao1, W-J Liu

  • 1Department of Pediatrics, Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, China. lwjlyfy@qq.com.

European Review for Medical and Pharmacological Sciences
|December 12, 2018
PubMed

Insights

The prednisone induction test effectively predicts outcomes in childhood acute lymphoblastic leukemia (ALL). Children responding well to prednisone show better long-term remission and fewer adverse events than those with a poor response.

Area of Science:

  • Pediatric Oncology
  • Hematology
  • Clinical Trials

Background:

  • Acute lymphoblastic leukemia (ALL) is a common childhood cancer.
  • Accurate prognostic markers are crucial for tailoring treatment strategies in pediatric ALL.

Purpose of the Study:

  • To systematically review the utility of the prednisone induction test in assessing the prognosis of childhood ALL.
  • To evaluate the predictive value of prednisone response for treatment outcomes in pediatric ALL patients.

Main Methods:

  • A systematic literature search was conducted across multiple databases (PubMed, Embase, etc.) from January 1990 to November 2016.
  • Included studies were assessed for risk of bias by two independent researchers.
  • Meta-analysis was performed using RevMan 5.3 software on data from 17 selected articles.

Main Results:

  • Significant differences were observed between prednisone good response (PGR) and prednisone poor response (PPR) groups regarding 5-year and 8-year event-free survival (EFS), adverse reactions, remission persistence, and relapse rates.
  • Statistical significance was also found in T-cell immune typing and initial white blood cell counts between the two groups.
  • Children with a good prednisone response demonstrated a better overall prognosis compared to those with a poor response.

Conclusions:

  • The prednisone induction test serves as a significant predictor of prognosis in pediatric ALL.
  • This test can aid clinicians in stratifying risk and optimizing treatment for children diagnosed with ALL.
Abstract

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