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Local anesthetic techniques for analgesia in neonatal circumcision: a network meta-analysis

Journal
Journal of perinatology : official journal of the California Perinatal Association (Q1)
Published
20 August 2026
Study design
Systematic review / meta-analysis of RCTs
Evidence level
Level 1, High (CEBM 1a)
Authors
Gabriel Lemos González, Gustavo Roberto Minetto Wegner, Bruno Francisco Minetto Wegner, Iaci Luisa Lopes de Mattos, Catherine Maria Fasano Werner, Fani Nhuch, et al.
PMID
42624889
DOI
10.1038/s41372-026-02878-5

Why clinicians should know about it

  • Picked for Neonatology (top studies of the week, 23 August 2026): Local anesthetic techniques for neonatal circumcision meta‑analysis
  • Picked for Obstetrics and Gynecology (top studies of the week, 23 August 2026): High-quality evidence in a top journal

Abstract

OBJECTIVE: Neonatal circumcision is often performed without adequate analgesia despite significant harm related to acute pain. We compared local anesthetic techniques using network meta-analysis based on intraoperative physiological responses. STUDY DESIGN: Frequentist network meta-analysis of randomized controlled trials comparing nerve blocks (dorsal penile nerve block, DPNB; ring block, RB), topical anesthetics (eutectic mixture of local anesthetics, EMLA; topical lidocaine, TL), combination techniques, and control. OUTCOMES: intraoperative heart rate, oxygen saturation, their variation, respiratory rate, and hematoma. Risk of bias and certainty of evidence were assessed. RESULTS: Eighteen trials (1 035 neonates) were included. Nerve blocks reduced pain-related responses versus control and TL. DPNB outperformed EMLA, with increased hematoma risk. Meta-regression suggests smaller effect size in recent studies. CONCLUSIONS: Evidence supports local anesthetic techniques for neonatal circumcision, with nerve blocks providing greater benefit than topical anesthetics. However, given the small sample sizes and low certainty of evidence, higher-quality trials are needed.

Abstract as published, via PubMed.

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For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.