Abstract
Background: Precision prevention involves using the unique characteristics of a particular group to determine their responses to preventive interventions. This study aimed to systematically evaluate the participant characteristics associated with responses to interventions in gestational diabetes mellitus (GDM) prevention. Methods: We searched MEDLINE, EMBASE, and Pubmed to identify lifestyle (diet, physical activity, or both), metformin, myoinositol/inositol and probiotics interventions of GDM prevention published up to May 24, 2022. Results: From 10347 studies, 116 studies (n = 40940 women) are included. Physical activity results in greater GDM reduction in participants with a normal body mass index (BMI) at baseline compared to obese BMI (risk ratio, 95% confidence interval: 0.06 [0.03, 0.14] vs 0.68 [0.26, 1.60]). Combined diet and physical activity interventions result in greater GDM reduction in participants without polycystic ovary syndrome (PCOS) than those with PCOS (0.62 [0.47, 0.82] vs 1.12 [0.78–1.61]) and in those without a history of GDM than those with unspecified GDM history (0.62 [0.47, 0.81] vs 0.85 [0.76, 0.95]). Metformin interventions are more effective in participants with PCOS than those with unspecified status (0.38 [0.19, 0.74] vs 0.59 [0.25, 1.43]), or when commenced preconception than during pregnancy (0.21 [0.11, 0.40] vs 1.15 [0.86–1.55]). Parity, history of having a large-for-gestational-age infant or family history of diabetes have no effect on intervention responses. Conclusions: GDM prevention through metformin or lifestyle differs according to some individual characteristics. Future research should include trials commencing preconception and provide results disaggregated by a priori defined participant characteristics including social and environmental factors, clinical traits, and other novel risk factors to predict GDM prevention through interventions.
Original language | English |
---|---|
Article number | 137 |
Number of pages | 11 |
Journal | Communications Medicine |
Volume | 3 |
Issue number | 1 |
DOIs | |
Publication status | Published - 5 Oct 2023 |
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In: Communications Medicine, Vol. 3, No. 1, 137, 05.10.2023.
Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Participant characteristics in the prevention of gestational diabetes as evidence for precision medicine
T2 - a systematic review and meta-analysis
AU - Takele, Wubet Worku
AU - Vesco, Kimberly K.
AU - Redman, Leanne M.
AU - Hannah, Wesley
AU - Bonham, Maxine P.
AU - Chen, Mingling
AU - Chivers, Sian C.
AU - Fawcett, Andrea J.
AU - Grieger, Jessica A.
AU - Habibi, Nahal
AU - Leung, Gloria K.W.
AU - Liu, Kai
AU - Mekonnen, Eskedar Getie
AU - Pathirana, Maleesa
AU - Quinteros, Alejandra
AU - Taylor, Rachael
AU - Ukke, Gebresilasea G.
AU - Zhou, Shao J.
AU - Franks, Paul W.
AU - Rich, Stephen S.
AU - Wagner, Robert
AU - Vilsbøll, Tina
AU - Udler, Miriam S.
AU - Tuomi, Tiinamaija
AU - Sweeting, Arianne
AU - Sims, Emily K.
AU - Sherr, Jennifer L.
AU - Semple, Robert K.
AU - Reynolds, Rebecca M.
AU - Redondo, Maria J.
AU - Pratley, Richard E.
AU - Pop-Busui, Rodica
AU - Pollin, Toni I.
AU - Perng, Wei
AU - Pearson, Ewan R.
AU - Ozanne, Susan E.
AU - Owen, Katharine R.
AU - Oram, Richard
AU - Murphy, Rinki
AU - Mohan, Viswanathan
AU - Misra, Shivani
AU - Meigs, James B.
AU - Mathioudakis, Nestoras
AU - Mathieu, Chantal
AU - Ma, Ronald C.W.
AU - Loos, Ruth J.F.
AU - Laffel, Lori M.
AU - Kwak, Soo Heon
AU - Hood, Korey K.
AU - Hivert, Marie France
AU - Hirsch, Irl B.
AU - Hattersley, Andrew T.
AU - Griffin, Kurt
AU - Greeley, Siri Atma W.
AU - Gottlieb, Peter A.
AU - Gomez, Maria F.
AU - Gloyn, Anna L.
AU - Florez, Jose C.
AU - Dennis, John M.
AU - Costacou, Tina
AU - Boyle, Kristen
AU - Billings, Liana K.
AU - Brown, Rebecca J.
AU - Philipson, Louis H.
AU - Nolan, John J.
AU - Eckel, Robert H.
AU - Sherifali, Diana
AU - Mixter, Emily
AU - Gruber, Chandra
AU - Fawcett, Andrea J.
AU - de Souza, Russell
AU - Auh, Sungyoung
AU - Zhu, Yeyi
AU - Zhang, Cuilin
AU - Saint-Martin, Cécile
AU - Provenzano, Michele
AU - Pomares-Millan, Hugo
AU - Njølstad, Pål Rasmus
AU - Nakabuye, Mariam
AU - Molnes, Janne
AU - McGovern, Andrew
AU - Maloney, Kristin A.
AU - Flanagan, Sarah E.
AU - de Franco, Elisa
AU - Aukrust, Ingvild
AU - Polak, Michel
AU - Beltrand, Jacques
AU - Zhang, Yingchai
AU - Yu, Gechang
AU - White, Sara L.
AU - Hannah, Wesley
AU - Wentworth, John M.
AU - Vatier, Camille
AU - Van der Schueren, Bart
AU - Urazbayeva, Marzhan
AU - Tye, Sok Cin
AU - Støy, Julie
AU - Stefan, Norbert
AU - Steck, Andrea K.
AU - Steenackers, Nele
AU - Stanislawski, Maggie A.
AU - Speake, Cate
AU - Sheu, Wayne Huey Herng
AU - Selvin, Elizabeth
AU - Scholtens, Denise M.
AU - Monaco, Gabriela S.F.
AU - Sarkar, Sudipa
AU - Kanbour, Sarah
AU - Santhakumar, Vanessa
AU - Saeed, Zeb
AU - Ried-Larsen, Mathias
AU - Ray, Debashree
AU - Jain, Rashmi
AU - Powe, Camille E.
AU - Petrie, John R.
AU - Perez, Dianna
AU - Pazmino, Sofia
AU - Pankow, James S.
AU - Onengut-Gumuscu, Suna
AU - Motala, Ayesha A.
AU - Morton, Robert W.
AU - Lowe, William L.
AU - Long, S. Alice
AU - Libman, Ingrid M.
AU - Leong, Aaron
AU - Koivula, Robert W.
AU - Jones, Angus G.
AU - Johnson, Randi K.
AU - Hoag, Benjamin
AU - Ismail, Heba M.
AU - Harris-Kawano, Arianna
AU - Huang, Chuiguo
AU - Hansen, Torben
AU - Guasch-Ferré, Marta
AU - Goodarzi, Mark O.
AU - Gitelman, Stephen E.
AU - Fitzpatrick, Stephanie L.
AU - Fitipaldi, Hugo
AU - Fernández-Balsells, María Mercè
AU - Evans-Molina, Carmella
AU - Dudenhöffer-Pfeifer, Monika
AU - DiMeglio, Linda A.
AU - Dickens, Laura T.
AU - Deutsch, Aaron J.
AU - Dawed, Adem Y.
AU - Dabelea, Dana
AU - Clemmensen, Christoffer
AU - Chikowore, Tinashe
AU - Cheng, Feifei
AU - Andersen, Mette K.
AU - Amouyal, Chloé
AU - Young, Katherine
AU - Yamamoto, Jennifer M.
AU - Wong, Jessie J.
AU - Wang, Caroline C.
AU - Wallace, Amelia S.
AU - Tosur, Mustafa
AU - Thuesen, Anne Cathrine B.
AU - Tam, Claudia Ha ting
AU - Svalastoga, Pernille
AU - Sevilla-Gonzalez, Magdalena
AU - Semnani-Azad, Zhila
AU - Schön, Martin
AU - Rooney, Mary R.
AU - Raghavan, Sridharan
AU - Prystupa, Katsiaryna
AU - Pilla, Scott J.
AU - Patel, Kashyap Amratlal
AU - Ozkan, Bige
AU - Naylor, Rochelle N.
AU - Most, Jasper
AU - Morieri, Mario Luca
AU - Miller, Rachel G.
AU - Mclennan, Niamh Maire
AU - Massey, Robert
AU - Männistö, Jonna M.E.
AU - Lim, Lee Ling
AU - Kreienkamp, Raymond J.
AU - Kettunen, Jarno L.T.
AU - Kahkoska, Anna R.
AU - Jacobsen, Laura M.
AU - Ikle, Jennifer M.
AU - Hughes, Alice
AU - Haider, Eram
AU - Gaillard, Romy
AU - Gingras, Véronique
AU - Gillard, Pieter
AU - Francis, Ellen C.
AU - Felton, Jamie L.
AU - Duan, Daisy
AU - Cromer, Sara J.
AU - Corcoy, Rosa
AU - Colclough, Kevin
AU - Clark, Amy L.
AU - Bodhini, Dhanasekaran
AU - Benham, Jamie L.
AU - Aiken, Catherine
AU - Ahmad, Abrar
AU - Merino, Jordi
AU - Tobias, Deirdre K.
AU - ADA/EASD PMDI
AU - Josefson, Jami
A2 - Lim, Siew
N1 - Publisher Copyright: © The Author(s) 2023.
PY - 2023/10/5
Y1 - 2023/10/5
N2 - Background: Precision prevention involves using the unique characteristics of a particular group to determine their responses to preventive interventions. This study aimed to systematically evaluate the participant characteristics associated with responses to interventions in gestational diabetes mellitus (GDM) prevention. Methods: We searched MEDLINE, EMBASE, and Pubmed to identify lifestyle (diet, physical activity, or both), metformin, myoinositol/inositol and probiotics interventions of GDM prevention published up to May 24, 2022. Results: From 10347 studies, 116 studies (n = 40940 women) are included. Physical activity results in greater GDM reduction in participants with a normal body mass index (BMI) at baseline compared to obese BMI (risk ratio, 95% confidence interval: 0.06 [0.03, 0.14] vs 0.68 [0.26, 1.60]). Combined diet and physical activity interventions result in greater GDM reduction in participants without polycystic ovary syndrome (PCOS) than those with PCOS (0.62 [0.47, 0.82] vs 1.12 [0.78–1.61]) and in those without a history of GDM than those with unspecified GDM history (0.62 [0.47, 0.81] vs 0.85 [0.76, 0.95]). Metformin interventions are more effective in participants with PCOS than those with unspecified status (0.38 [0.19, 0.74] vs 0.59 [0.25, 1.43]), or when commenced preconception than during pregnancy (0.21 [0.11, 0.40] vs 1.15 [0.86–1.55]). Parity, history of having a large-for-gestational-age infant or family history of diabetes have no effect on intervention responses. Conclusions: GDM prevention through metformin or lifestyle differs according to some individual characteristics. Future research should include trials commencing preconception and provide results disaggregated by a priori defined participant characteristics including social and environmental factors, clinical traits, and other novel risk factors to predict GDM prevention through interventions.
AB - Background: Precision prevention involves using the unique characteristics of a particular group to determine their responses to preventive interventions. This study aimed to systematically evaluate the participant characteristics associated with responses to interventions in gestational diabetes mellitus (GDM) prevention. Methods: We searched MEDLINE, EMBASE, and Pubmed to identify lifestyle (diet, physical activity, or both), metformin, myoinositol/inositol and probiotics interventions of GDM prevention published up to May 24, 2022. Results: From 10347 studies, 116 studies (n = 40940 women) are included. Physical activity results in greater GDM reduction in participants with a normal body mass index (BMI) at baseline compared to obese BMI (risk ratio, 95% confidence interval: 0.06 [0.03, 0.14] vs 0.68 [0.26, 1.60]). Combined diet and physical activity interventions result in greater GDM reduction in participants without polycystic ovary syndrome (PCOS) than those with PCOS (0.62 [0.47, 0.82] vs 1.12 [0.78–1.61]) and in those without a history of GDM than those with unspecified GDM history (0.62 [0.47, 0.81] vs 0.85 [0.76, 0.95]). Metformin interventions are more effective in participants with PCOS than those with unspecified status (0.38 [0.19, 0.74] vs 0.59 [0.25, 1.43]), or when commenced preconception than during pregnancy (0.21 [0.11, 0.40] vs 1.15 [0.86–1.55]). Parity, history of having a large-for-gestational-age infant or family history of diabetes have no effect on intervention responses. Conclusions: GDM prevention through metformin or lifestyle differs according to some individual characteristics. Future research should include trials commencing preconception and provide results disaggregated by a priori defined participant characteristics including social and environmental factors, clinical traits, and other novel risk factors to predict GDM prevention through interventions.
UR - http://www.scopus.com/inward/record.url?scp=85173449756&partnerID=8YFLogxK
U2 - 10.1038/s43856-023-00366-x
DO - 10.1038/s43856-023-00366-x
M3 - Article
AN - SCOPUS:85173449756
SN - 2730-664X
VL - 3
JO - Communications Medicine
JF - Communications Medicine
IS - 1
M1 - 137
ER -