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SYSTEMATIC REVIEW article

Front. Public Health
Sec. Public Health Education and Promotion
Volume 12 - 2024 | doi: 10.3389/fpubh.2024.1373691

Effects of different periodontal interventions on the risk of adverse pregnancy outcomes in pregnant women: a systematic review and network meta-analysis of randomized controlled trials

Provisionally accepted
Jianru Wu Jianru Wu 1JingYing Wu JingYing Wu 2Biyu Tang Biyu Tang 1*Ze Zhang Ze Zhang 2*Fenfang Wei Fenfang Wei 1*Dingbiao Yu Dingbiao Yu 2*Limin Li Limin Li 1*Yue Zhao Yue Zhao 2*Bei Wang Bei Wang 2*Wenyu Wu Wenyu Wu 1*Xiang Hong Xiang Hong 2*
  • 1 Shenzhen Institute of Pharmacovigilance and Risk Management, Shenzhen, China
  • 2 Southeast University, Nanjing, China

The final, formatted version of the article will be published soon.

    Background: Periodontal disease is widespread among pregnant women, and it is possible that taking action to improve oral health conditions can make improvements in adverse pregnancy outcomes. Herein, we summarize the recent evidence using a network meta-analysis on assessing the effects of different periodontal treatment intervention strategies on the risk of adverse pregnancy outcomes in pregnant women.Material and methods: Randomized controlled trials were retrieved from PubMed, Web of Science, Embase, and Cochrane Library databases. After literature screening, data extraction, and quality evaluation of the included literature are performed, the R studio 4.2.2 'netmeta' package was used for the network meta-analysis.Results: A total of 20 studies were included, and five adverse pregnancy outcomes (preterm birth, low birth weight, preterm birth and/or low birth weight infants, small for gestational age, pre-eclampsia) were considered to examine the effects of different periodontal treatment interventions strategies on the risk of the above outcome indicators. The results of the network meta-analysis demonstrated that the three periodontal treatment intervention strategies of sub-and/or supra-gingival scaling and root planing + chlorhexidine rinsing (SRP+CR), sub-and/or supra-gingival scaling and root planing+chlorhexidine rinsing + tooth polishing and plaque control (SRP+CR+TP), sub-and/or supra-gingival scaling and root planing +sonic toothbrush + tooth polishing and plaque control (SRP+ST+TP) reduced the risk of preterm birth [OR = 0.29, 95CI% (0.10-0.88), OR = 0.25, 95CI% (0.10-0.63), OR = 0.28, 95CI% (0.11-0.69), respectively]. In addition, two periodontal treatment intervention strategies, SRP+CR and SRP+CR+TP, were effective methods in terms of the risk of preterm birth and/or low birth weight [OR = 0.18, 95CI% (0.06-0.52), OR = 0.31, 95CI% (0.12-0.79)].The available evidence suggests that the risk of preterm birth and preterm birth and/or low birth weight can be reduced with certain periodontal treatment intervention strategies. Future studies should focus on optimizing intervention strategies and the optimal timing for different periods of pregnancy, in order to provide a reference for pregnant women's health care.

    Keywords: periodontal therapy, intervention measure strategies, Adverse pregnancy outcomes, Network meta-analysis, randomized controlled trials

    Received: 20 Jan 2024; Accepted: 03 Sep 2024.

    Copyright: © 2024 Wu, Wu, Tang, Zhang, Wei, Yu, Li, Zhao, Wang, Wu and Hong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Biyu Tang, Shenzhen Institute of Pharmacovigilance and Risk Management, Shenzhen, China
    Ze Zhang, Southeast University, Nanjing, China
    Fenfang Wei, Shenzhen Institute of Pharmacovigilance and Risk Management, Shenzhen, China
    Dingbiao Yu, Southeast University, Nanjing, China
    Limin Li, Shenzhen Institute of Pharmacovigilance and Risk Management, Shenzhen, China
    Yue Zhao, Southeast University, Nanjing, China
    Bei Wang, Southeast University, Nanjing, China
    Wenyu Wu, Shenzhen Institute of Pharmacovigilance and Risk Management, Shenzhen, China
    Xiang Hong, Southeast University, Nanjing, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.