Birth Weight and Subsequent Risk of Total Leukemia and Acute Leukemia: A Systematic Review and Meta-Analysis

Hailuo Che1, Dunmei Long2, Qian Sun3

  • 1Department of Obstetrics, Zaozhuang Municipal Hospital, Zaozhuang, China.

Frontiers in Pediatrics
|October 11, 2021
PubMed

Insights

High birth weight in children and young adults may increase leukemia risk, while low birth weight is linked to decreased acute lymphoid leukemia risk. Further research is needed to confirm dose-dependent effects.

Area of Science:

  • Pediatric Oncology
  • Epidemiology
  • Hematology

Background:

  • Birth weight is a key indicator of fetal development and nutrition.
  • The relationship between birth weight and subsequent leukemia risk, particularly acute myeloid leukemia (AML) and acute lymphoid leukemia (ALL), requires further investigation.
  • Understanding potential dose-dependent effects is crucial for risk assessment.

Approach:

  • A systematic meta-analysis was conducted, including 28 studies (21 case-control, 7 cohort) published up to May 15th, 2021.
  • Data were retrieved from PubMed, Embase, and Cochrane Library.
  • Risk ratios (cohort studies) and odds ratios (case-control studies) were analyzed using random-effect models, with a dose-dependent analysis performed on cohort data.

Key Points:

  • High birth weight (HBW) was associated with an increased risk of overall leukemia (OR 1.33) and ALL (OR 1.28) compared to normal birth weight (NBW).
  • Low birth weight (LBW) showed a decreased risk of ALL (OR 0.83) but no significant association with AML risk.
  • Dose-dependent evidence for HBW and AML risk was lacking, but stronger evidence supported a dose-dependent increased risk of ALL in HBW and decreased risk in LBW.

Conclusions:

  • HBW may be linked to increased risks of subsequent leukemia and AML in children and young adults, though dose-dependent evidence is limited.
  • There is stronger evidence for a dose-dependent increased risk of ALL in HBW and a decreased risk in LBW populations compared to NBW.
  • Prospective, large-scale studies are recommended to validate these findings and explore dose-dependent relationships further.

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