Yasushi Tsujimoto1,2,3,4, Yuki Kataoka5,6,7,8, Masahiro Banno5,9,10, Shunsuke Taito5,11, Masayo Kokubo6,12, Yuko Masuzawa13,14, Yoshiko Yamamoto13,15. 1. Department of Health Promotion and Human Behavior, Kyoto University Graduate School of Medicine / School of Public Health, Yoshida Konoe cho, Sakyo-ku, Kyoto, Japan. yssh0108@yahoo.co.jp. 2. Department of Nephrology and Dialysis, Kyoritsu Hospital, Chuo-cho 16-5, Kawanishi, Hyogo, Japan. yssh0108@yahoo.co.jp. 3. Systematic Review Peer Support Group, Koraibashi, Chuo-ku, Osaka, Japan. yssh0108@yahoo.co.jp. 4. Cochrane Japan, Akashi Cho 10-1, Chuo-ku, Tokyo, Japan. yssh0108@yahoo.co.jp. 5. Systematic Review Peer Support Group, Koraibashi, Chuo-ku, Osaka, Japan. 6. Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Yoshida Konoe cho, Sakyo-ku, Kyoto, Japan. 7. Department of Internal Medicine, Kyoto Min-Iren Asukai Hospital, Tanaka Asukai-cho 89, Sakyo-ku, Kyoto, Japan. 8. Section of Clinical Epidemiology, Department of Community Medicine, Kyoto University Graduate School of Medicine, Yoshida Konoe-cho, Sakyo-ku, Kyoto, Japan. 9. Department of Psychiatry, Seichiryo Hospital, Tsurumai 4-16-27, Showa-ku, Nagoya, Aichi, Japan. 10. Department of Psychiatry, Nagoya University Graduate School of Medicine, Tsurumai-cho 65, Showa-ku, Nagoya, Aichi, Japan. 11. Division of Rehabilitation, Department of Clinical Practice and Support, Hiroshima University Hospital, Kasumi 1-2-3, Minami-ku, Hiroshima, Japan. 12. Department of Neonatology, Nagano Children's Hospital, Toyoshina 3100, Azumino, Nagano, Japan. 13. Cochrane Japan, Akashi Cho 10-1, Chuo-ku, Tokyo, Japan. 14. Chiba Faculty of Nursing, Division of Nursing, Tokyo Healthcare University, Kaijinchonishi 1-1042-2, Funabashi, Chiba, Japan. 15. Department of Health Policy, National Center for Child Health and Development, 2-10-1 Okura, Setagaya-ku, Tokyo, Japan.
Abstract
PURPOSE: There is some evidence that women born preterm or with low birth weight (LBW) have an increased future risk of gestational diabetes mellitus (GDM) during pregnancy; however, a quantitative summary of evidence is lacking. In this systematic review and meta-analysis, we examined the published data to investigate whether being born preterm, with LBW or small for gestational age (SGA) are associated with GDM risk. METHODS: We searched the MEDLINE, Embase, and CINAHL databases and study registries, including ClinicalTrials.gov and ICTRP, from launch until 29 October 2020. Observational studies examining the association between birth weight or gestational age and GDM were eligible. We pooled the odds ratios and 95% confidence intervals using the DerSimonian and Laird random-effects model. RESULTS: Eighteen studies were included (N = 827,382). The meta-analysis showed that being born preterm, with LBW or SGA was associated with increased risk of GDM (pooled odds ratio = 1.84; 95% confidence interval: 1.54-2.20; I2 = 78.3%; τ2 = 0.07). Given a GDM prevalence of 2.0, 10, and 20%, the absolute risk differences were 1.6%, 7.0%, and 11.5%, respectively. The certainty of the evidence was low due to serious concerns of risk of bias and publication bias. CONCLUSIONS: Women born prematurely, with LBW or SGA status, may be at increased risk for GDM. However, whether this should be considered in clinical decision-making depends on the prevalence of GDM.
PURPOSE: There is some evidence that women born preterm or with low birth weight (LBW) have an increased future risk of gestational diabetes mellitus (GDM) during pregnancy; however, a quantitative summary of evidence is lacking. In this systematic review and meta-analysis, we examined the published data to investigate whether being born preterm, with LBW or small for gestational age (SGA) are associated with GDM risk. METHODS: We searched the MEDLINE, Embase, and CINAHL databases and study registries, including ClinicalTrials.gov and ICTRP, from launch until 29 October 2020. Observational studies examining the association between birth weight or gestational age and GDM were eligible. We pooled the odds ratios and 95% confidence intervals using the DerSimonian and Laird random-effects model. RESULTS: Eighteen studies were included (N = 827,382). The meta-analysis showed that being born preterm, with LBW or SGA was associated with increased risk of GDM (pooled odds ratio = 1.84; 95% confidence interval: 1.54-2.20; I2 = 78.3%; τ2 = 0.07). Given a GDM prevalence of 2.0, 10, and 20%, the absolute risk differences were 1.6%, 7.0%, and 11.5%, respectively. The certainty of the evidence was low due to serious concerns of risk of bias and publication bias. CONCLUSIONS: Women born prematurely, with LBW or SGA status, may be at increased risk for GDM. However, whether this should be considered in clinical decision-making depends on the prevalence of GDM.
Authors: Joanne Katz; Anne Cc Lee; Naoko Kozuki; Joy E Lawn; Simon Cousens; Hannah Blencowe; Majid Ezzati; Zulfiqar A Bhutta; Tanya Marchant; Barbara A Willey; Linda Adair; Fernando Barros; Abdullah H Baqui; Parul Christian; Wafaie Fawzi; Rogelio Gonzalez; Jean Humphrey; Lieven Huybregts; Patrick Kolsteren; Aroonsri Mongkolchati; Luke C Mullany; Richard Ndyomugyenyi; Jyh Kae Nien; David Osrin; Dominique Roberfroid; Ayesha Sania; Christentze Schmiegelow; Mariangela F Silveira; James Tielsch; Anjana Vaidya; Sithembiso C Velaphi; Cesar G Victora; Deborah Watson-Jones; Robert E Black Journal: Lancet Date: 2013-06-06 Impact factor: 79.321