{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T16:59:28Z","timestamp":1789837168676,"version":"4.0.1"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T00:00:00Z","timestamp":1739232000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T00:00:00Z","timestamp":1739232000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61927819"],"award-info":[{"award-number":["61927819"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61927819"],"award-info":[{"award-number":["61927819"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61927819"],"award-info":[{"award-number":["61927819"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61927819"],"award-info":[{"award-number":["61927819"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61927819"],"award-info":[{"award-number":["61927819"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61927819"],"award-info":[{"award-number":["61927819"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61927819"],"award-info":[{"award-number":["61927819"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61927819"],"award-info":[{"award-number":["61927819"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61927819"],"award-info":[{"award-number":["61927819"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61927819"],"award-info":[{"award-number":["61927819"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Beijing Municipal Administration of Hospitals Incubation Program","award":["px2022039"],"award-info":[{"award-number":["px2022039"]}]},{"name":"Beijing Municipal Administration of Hospitals Incubation Program","award":["px2022039"],"award-info":[{"award-number":["px2022039"]}]},{"name":"Beijing Municipal Administration of Hospitals Incubation Program","award":["px2022039"],"award-info":[{"award-number":["px2022039"]}]},{"name":"Beijing Municipal Administration of Hospitals Incubation Program","award":["px2022039"],"award-info":[{"award-number":["px2022039"]}]},{"name":"Beijing Municipal Administration of Hospitals Incubation Program","award":["px2022039"],"award-info":[{"award-number":["px2022039"]}]},{"name":"Beijing Municipal Administration of Hospitals Incubation Program","award":["px2022039"],"award-info":[{"award-number":["px2022039"]}]},{"name":"Beijing Municipal Administration of Hospitals Incubation Program","award":["px2022039"],"award-info":[{"award-number":["px2022039"]}]},{"name":"Beijing Municipal Administration of Hospitals Incubation Program","award":["px2022039"],"award-info":[{"award-number":["px2022039"]}]},{"name":"Beijing Municipal Administration of Hospitals Incubation Program","award":["px2022039"],"award-info":[{"award-number":["px2022039"]}]},{"name":"Beijing Municipal Administration of Hospitals Incubation Program","award":["px2022039"],"award-info":[{"award-number":["px2022039"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Pregnancy Childbirth"],"DOI":"10.1186\/s12884-025-07239-2","type":"journal-article","created":{"date-parts":[[2025,2,11]],"date-time":"2025-02-11T09:52:23Z","timestamp":1739267543000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Machine learning approaches for predicting fetal macrosomia at different stages of pregnancy: a retrospective study in China"],"prefix":"10.1186","volume":"25","author":[{"given":"Qingyuan","family":"Liu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simin","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lan","family":"Ma","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenqian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaotong","family":"Sun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanyan","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yifan","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhen","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,11]]},"reference":[{"key":"7239_CR1","doi-asserted-by":"crossref","unstructured":"Macrosomia ACOGP, Bulletin. Number 216. Obstet Gynecol. 2020;135(1):e18-e35.","DOI":"10.1097\/AOG.0000000000003606"},{"issue":"9865","key":"7239_CR2","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1016\/S0140-6736(12)61605-5","volume":"381","author":"A Koyanagi","year":"2013","unstructured":"Koyanagi A, Zhang J, Dagvadorj A, Hirayama F, Shibuya K, Souza JP, et al. Macrosomia in 23 developing countries: an analysis of a multicountry, facility-based, cross-sectional survey. Lancet. 2013;381(9865):476\u201383.","journal-title":"Lancet"},{"issue":"4","key":"7239_CR3","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1111\/ppe.12133","volume":"28","author":"G Li","year":"2014","unstructured":"Li G, Kong L, Li Z, Zhang L, Fan L, Zou L, et al. Prevalence of macrosomia and its risk factors in China: a multicentre survey based on birth data involving 101,723 singleton term infants. Paediatr Perinat Epidemiol. 2014;28(4):345\u201350.","journal-title":"Paediatr Perinat Epidemiol"},{"issue":"6","key":"7239_CR4","doi-asserted-by":"publisher","first-page":"672","DOI":"10.1016\/j.ajog.2009.02.035","volume":"200","author":"TF Esakoff","year":"2009","unstructured":"Esakoff TF, Cheng YW, Sparks TN, Caughey AB. The association between birthweight 4000\u00a0g or greater and perinatal outcomes in patients with and without gestational diabetes mellitus. Am J Obstet Gynecol. 2009;200(6):672.e1-.e4","journal-title":"Am J Obstet Gynecol"},{"issue":"3","key":"7239_CR5","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1002\/uog.20279","volume":"54","author":"J Beta","year":"2019","unstructured":"Beta J, Khan N, Khalil A, Fiolna M, Ramadan G, Akolekar R. Maternal and neonatal complications of fetal macrosomia: systematic review and meta-analysis. Ultrasound Obstet Gynecol. 2019;54(3):308\u201318.","journal-title":"Ultrasound Obstet Gynecol"},{"issue":"1","key":"7239_CR6","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/S0301-2115(03)00154-4","volume":"111","author":"MC Jolly","year":"2003","unstructured":"Jolly MC, Sebire NJ, Harris JP, Regan L, Robinson S. Risk factors for macrosomia and its clinical consequences: a study of 350,311 pregnancies. Eur J Obstet Gynecol Reprod Biol. 2003;111(1):9\u201314.","journal-title":"Eur J Obstet Gynecol Reprod Biol"},{"issue":"7","key":"7239_CR7","doi-asserted-by":"publisher","first-page":"844","DOI":"10.1111\/j.1600-0412.2012.01412.x","volume":"91","author":"A Weissmann-Brenner","year":"2012","unstructured":"Weissmann-Brenner A, Simchen MJ, Zilberberg E, Kalter A, Weisz B, Achiron R, et al. Maternal and neonatal outcomes of large for gestational age pregnancies. Acta Obstet Gynecol Scand. 2012;91(7):844\u20139.","journal-title":"Acta Obstet Gynecol Scand"},{"issue":"5","key":"7239_CR8","doi-asserted-by":"publisher","first-page":"1255","DOI":"10.1002\/oby.23701","volume":"31","author":"Y Zhang","year":"2023","unstructured":"Zhang Y, Liu P, Zhou W, Hu J, Cui L, Chen ZJ. Association of large for gestational age with cardiovascular metabolic risks: a systematic review and meta-analysis. Obes (Silver Spring). 2023;31(5):1255\u201369.","journal-title":"Obes (Silver Spring)"},{"issue":"1","key":"7239_CR9","doi-asserted-by":"publisher","first-page":"390","DOI":"10.1186\/s12884-020-03071-y","volume":"20","author":"Y Sun","year":"2020","unstructured":"Sun Y, Shen Z, Zhan Y, Wang Y, Ma S, Zhang S, et al. Effects of pre-pregnancy body mass index and gestational weight gain on maternal and infant complications. BMC Pregnancy Childbirth. 2020;20(1):390.","journal-title":"BMC Pregnancy Childbirth"},{"issue":"21","key":"7239_CR10","doi-asserted-by":"publisher","first-page":"2207","DOI":"10.1001\/jama.2017.3635","volume":"317","author":"RF Goldstein","year":"2017","unstructured":"Goldstein RF, Abell SK, Ranasinha S, Misso M, Boyle JA, Black MH, et al. Association of Gestational Weight Gain with Maternal and infant outcomes: a systematic review and Meta-analysis. JAMA. 2017;317(21):2207\u201325.","journal-title":"JAMA"},{"issue":"Suppl 2","key":"7239_CR11","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1159\/000371628","volume":"66","author":"K Kc","year":"2015","unstructured":"Kc K, Shakya S, Zhang H. Gestational diabetes mellitus and macrosomia: a literature review. Ann Nutr Metab. 2015;66(Suppl 2):14\u201320.","journal-title":"Ann Nutr Metab"},{"issue":"2S","key":"7239_CR12","doi-asserted-by":"publisher","first-page":"S619","DOI":"10.1016\/j.ajog.2017.12.010","volume":"218","author":"T Kiserud","year":"2018","unstructured":"Kiserud T, Benachi A, Hecher K, Perez RG, Carvalho J, Piaggio G, et al. The World Health Organization fetal growth charts: concept, findings, interpretation, and application. Am J Obstet Gynecol. 2018;218(2S):S619\u201329.","journal-title":"Am J Obstet Gynecol"},{"key":"7239_CR13","doi-asserted-by":"publisher","first-page":"495","DOI":"10.2147\/PHMT.S289218","volume":"11","author":"DGEE Adugna","year":"2020","unstructured":"Adugna DGEE, Jemberie MT. Prevalence and Associated Factors of Macrosomia among Newborns Delivered in University of Gondar Comprehensive Specialized Hospital, Gondar, Ethiopia: an Institution-based cross-sectional study. Pediatr Health Med Ther. 2020;11:495\u2013503.","journal-title":"Pediatr Health Med Ther"},{"issue":"2","key":"7239_CR14","doi-asserted-by":"publisher","first-page":"2232072","DOI":"10.1080\/14767058.2023.2232072","volume":"36","author":"P Sun","year":"2023","unstructured":"Sun P, Liu K, Cui X, Zhang L, Cao T. Establishment of a nomogram model to predict the risk of macrosomia in patients with gestational diabetes mellitus. J Matern Fetal Neonatal Med. 2023;36(2):2232072.","journal-title":"J Matern Fetal Neonatal Med"},{"issue":"1","key":"7239_CR15","doi-asserted-by":"publisher","first-page":"392","DOI":"10.1186\/s12884-022-04706-y","volume":"22","author":"J Du","year":"2022","unstructured":"Du J, Zhang X, Chai S, Zhao X, Sun J, Yuan N, et al. Nomogram-based risk prediction of macrosomia: a case-control study. BMC Pregnancy Childbirth. 2022;22(1):392.","journal-title":"BMC Pregnancy Childbirth"},{"issue":"5","key":"7239_CR16","doi-asserted-by":"publisher","first-page":"e5241","DOI":"10.1016\/j.ajog.2014.04.028","volume":"211","author":"LM Harper","year":"2014","unstructured":"Harper LM, Jauk VC, Owen J, Biggio JR. The utility of ultrasound surveillance of fluid and growth in obese women. Am J Obstet Gynecol. 2014;211(5):e5241\u20138.","journal-title":"Am J Obstet Gynecol"},{"key":"7239_CR17","doi-asserted-by":"crossref","unstructured":"Van SN, Cui J, Wang Y, Jiang H, Sha F, Li Y. Identifying First-Trimester Risk Factors for SGA-LGA Using Weighted Inheritance Voting Ensemble Learning. Bioengineering (Basel). 2024;11(7).","DOI":"10.3390\/bioengineering11070657"},{"key":"7239_CR18","doi-asserted-by":"crossref","unstructured":"Akhtar F, Li J, Pei Y, Imran A, Rajput A, Azeem M et al. Diagnosis and prediction of large-for-gestational-age Fetus using the stacked generalization Method. Appl Sci. 2019;9(20).","DOI":"10.3390\/app9204317"},{"key":"7239_CR19","doi-asserted-by":"crossref","unstructured":"Ye S, Zhang H, Shi F, Guo J, Wang S, Zhang B. Ensemble learning to improve the prediction of fetal macrosomia and large-for-gestational age. J Clin Med. 2020;9(2).","DOI":"10.3390\/jcm9020380"},{"key":"7239_CR20","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1186\/1471-2458-7-168","volume":"7","author":"S Bhattacharya","year":"2007","unstructured":"Bhattacharya S, Campbell DM, Liston WA, Bhattacharya S. Effect of body Mass Index on pregnancy outcomes in nulliparous women delivering singleton babies. BMC Public Health. 2007;7:168.","journal-title":"BMC Public Health"},{"key":"7239_CR21","doi-asserted-by":"crossref","unstructured":"Lewandowska M. Maternal obesity and risk of low Birth Weight, fetal growth restriction, and Macrosomia: multiple analyses. Nutrients. 2021;13(4).","DOI":"10.3390\/nu13041213"},{"issue":"1","key":"7239_CR22","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1186\/s13148-019-0612-6","volume":"11","author":"P Nogues","year":"2019","unstructured":"Nogues P, Dos Santos E, Jammes H, Berveiller P, Arnould L, Vialard F, et al. Maternal obesity influences expression and DNA methylation of the adiponectin and leptin systems in human third-trimester placenta. Clin Epigenetics. 2019;11(1):20.","journal-title":"Clin Epigenetics"},{"issue":"3","key":"7239_CR23","doi-asserted-by":"publisher","first-page":"620","DOI":"10.1111\/birt.12819","volume":"51","author":"ZH Teoh","year":"2024","unstructured":"Teoh ZH, Mariapun J, Ko VSY, Dominic NA, Jeganathan R, Karalasingam SD, et al. Maternal height, and ethnicity and birth weight: a retrospective cohort study of uncomplicated term vaginal deliveries in Malaysia. Birth. 2024;51(3):620\u20138.","journal-title":"Birth"},{"issue":"8","key":"7239_CR24","doi-asserted-by":"publisher","first-page":"e1001865","DOI":"10.1371\/journal.pmed.1001865","volume":"12","author":"G Zhang","year":"2015","unstructured":"Zhang G, Bacelis J, Lengyel C, Teramo K, Hallman M, Helgeland O, et al. Assessing the causal relationship of maternal height on birth size and gestational age at birth: a mendelian randomization analysis. PLoS Med. 2015;12(8):e1001865.","journal-title":"PLoS Med"},{"issue":"9","key":"7239_CR25","doi-asserted-by":"publisher","first-page":"1016","DOI":"10.1515\/jpm-2017-0102","volume":"46","author":"E Spada","year":"2018","unstructured":"Spada E, Chiossi G, Coscia A, Monari F, Facchinetti F. Effect of maternal age, height, BMI and ethnicity on birth weight: an Italian multicenter study. J Perinat Med. 2018;46(9):1016\u201321.","journal-title":"J Perinat Med"},{"issue":"4","key":"7239_CR26","doi-asserted-by":"publisher","first-page":"875","DOI":"10.1097\/AOG.0000000000002854","volume":"132","author":"MA Kominiarek","year":"2018","unstructured":"Kominiarek MA, Saade G, Mele L, Bailit J, Reddy UM, Wapner RJ, et al. Association between Gestational Weight Gain and Perinatal outcomes. Obstet Gynecol. 2018;132(4):875\u201381.","journal-title":"Obstet Gynecol"},{"issue":"21","key":"7239_CR27","doi-asserted-by":"publisher","first-page":"2207","DOI":"10.1001\/jama.2017.3635","volume":"317","author":"RFAS Goldstein","year":"2017","unstructured":"Goldstein RFAS, Ranasinha S, Misso M, Boyle JA, Black MH, Li N, Hu G, Corrado F, Rode L, Kim YJ, Haugen M, Song WO, Kim MH, Bogaerts A, Devlieger R, Chung JH, Teede HJ. Association of Gestational Weight Gain with Maternal and infant outcomes: a systematic review and Meta-analysis. JAMA. 2017;317(21):2207\u201325.","journal-title":"JAMA"},{"issue":"4","key":"7239_CR28","doi-asserted-by":"publisher","first-page":"e3391","DOI":"10.1016\/j.ajog.2009.07.002","volume":"201","author":"AM Siega-Riz","year":"2009","unstructured":"Siega-Riz AM, Viswanathan M, Moos MK, Deierlein A, Mumford S, Knaack J, et al. A systematic review of outcomes of maternal weight gain according to the Institute of Medicine recommendations: birthweight, fetal growth, and postpartum weight retention. Am J Obstet Gynecol. 2009;201(4):e3391\u201314.","journal-title":"Am J Obstet Gynecol"},{"issue":"1","key":"7239_CR29","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1186\/s41043-023-00431-0","volume":"42","author":"S Adjei-Gyamfi","year":"2023","unstructured":"Adjei-Gyamfi S, Musah B, Asirifi A, Hammond J, Aryee PA, Miho S, et al. Maternal risk factors for low birthweight and macrosomia: a cross-sectional study in Northern Region, Ghana. J Health Popul Nutr. 2023;42(1):87.","journal-title":"J Health Popul Nutr"},{"issue":"4","key":"7239_CR30","doi-asserted-by":"publisher","first-page":"338","DOI":"10.3109\/14767050903300969","volume":"23","author":"N Melamed","year":"2010","unstructured":"Melamed N, Yogev Y, Glezerman M. Fetal gender and pregnancy outcome. J Matern Fetal Neonatal Med. 2010;23(4):338\u201344.","journal-title":"J Matern Fetal Neonatal Med"},{"issue":"4","key":"7239_CR31","doi-asserted-by":"publisher","first-page":"348","DOI":"10.3961\/jpmph.23.133","volume":"56","author":"T Okui","year":"2023","unstructured":"Okui T. Analysis of the incidence of Macrosomia in Japan by parental nationalities at 5-year intervals from 1995 to 2020. J Prev Med Public Health. 2023;56(4):348\u201356.","journal-title":"J Prev Med Public Health"},{"key":"7239_CR32","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1186\/s13293-015-0052-8","volume":"6","author":"YH Weng","year":"2015","unstructured":"Weng YH, Yang CY, Chiu YW. Neonatal outcomes in relation to sex differences: a national cohort survey in Taiwan. Biol Sex Differ. 2015;6:30.","journal-title":"Biol Sex Differ"},{"issue":"3","key":"7239_CR33","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1016\/0002-9378(72)90493-0","volume":"112","author":"LC Chesley","year":"1972","unstructured":"Chesley LC. Plasma and red cell volumes during pregnancy. Am J Obstet Gynecol. 1972;112(3):440\u201350.","journal-title":"Am J Obstet Gynecol"},{"issue":"2","key":"7239_CR34","doi-asserted-by":"publisher","first-page":"199","DOI":"10.3109\/14767058.2016.1168395","volume":"30","author":"A Stangret","year":"2017","unstructured":"Stangret A, Wnuk A, Szewczyk G, Pyzlak M, Szukiewicz D. Maternal hemoglobin concentration and hematocrit values may affect fetus development by influencing placental angiogenesis. J Matern Fetal Neonatal Med. 2017;30(2):199\u2013204.","journal-title":"J Matern Fetal Neonatal Med"},{"issue":"17","key":"7239_CR35","doi-asserted-by":"publisher","first-page":"2106","DOI":"10.3109\/14767058.2014.979149","volume":"28","author":"M Bakacak","year":"2015","unstructured":"Bakacak M, Avci F, Ercan O, Kostu B, Serin S, Kiran G, et al. The effect of maternal hemoglobin concentration on fetal birth weight according to trimesters. J Matern Fetal Neonatal Med. 2015;28(17):2106\u201310.","journal-title":"J Matern Fetal Neonatal Med"},{"issue":"1","key":"7239_CR36","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1111\/nyas.14112","volume":"1450","author":"J Jung","year":"2019","unstructured":"Jung J, Rahman MM, Rahman MS, Swe KT, Islam MR, Rahman MO, et al. Effects of hemoglobin levels during pregnancy on adverse maternal and infant outcomes: a systematic review and meta-analysis. Ann N Y Acad Sci. 2019;1450(1):69\u201382.","journal-title":"Ann N Y Acad Sci"},{"key":"7239_CR37","doi-asserted-by":"crossref","unstructured":"Peng Z, Si S, Cheng H, Zhou H, Chi P, Mo M et al. The associations of maternal hemoglobin concentration in different time points and its changes during pregnancy with Birth Weight outcomes. Nutrients. 2022;14(12).","DOI":"10.3390\/nu14122542"},{"key":"7239_CR38","doi-asserted-by":"crossref","unstructured":"Diaz-Torres S, Diaz-Lopez A, Arija V. Effect of prenatal Iron supplementation adapted to hemoglobin levels in early pregnancy on fetal and neonatal Growth-ECLIPSES study. Nutrients. 2024;16(3).","DOI":"10.3390\/nu16030437"},{"issue":"1","key":"7239_CR39","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/0029-7844(96)00095-6","volume":"88","author":"PGMS Whittaker","year":"1996","unstructured":"Whittaker PGMS, Lind T. Serial hematologic changes and pregnancy outcome. Obstet Gynecol. 1996;88(1):33\u20139.","journal-title":"Obstet Gynecol"},{"issue":"2","key":"7239_CR40","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1111\/jdi.12552","volume":"8","author":"A Collier","year":"2017","unstructured":"Collier A, Abraham EC, Armstrong J, Godwin J, Monteath K, Lindsay R. Reported prevalence of gestational diabetes in Scotland: the relationship with obesity, age, socioeconomic status, smoking and macrosomia, and how many are we missing? J Diabetes Investig. 2017;8(2):161\u20137.","journal-title":"J Diabetes Investig"},{"key":"7239_CR41","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1016\/j.diabres.2019.06.014","volume":"154","author":"W Yang","year":"2019","unstructured":"Yang W, Liu J, Li J, Liu J, Liu H, Wang Y, et al. Interactive effects of prepregnancy overweight and gestational diabetes on macrosomia and large for gestational age: a population-based prospective cohort in Tianjin, China. Diabetes Res Clin Pract. 2019;154:82\u20139.","journal-title":"Diabetes Res Clin Pract"},{"issue":"4","key":"7239_CR42","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1016\/j.beem.2010.05.006","volume":"24","author":"E Herrera","year":"2010","unstructured":"Herrera E, Ortega-Senovilla H. Disturbances in lipid metabolism in diabetic pregnancy - are these the cause of the problem? Best Pract Res Clin Endocrinol Metab. 2010;24(4):515\u201325.","journal-title":"Best Pract Res Clin Endocrinol Metab"},{"key":"7239_CR43","doi-asserted-by":"crossref","unstructured":"Goletzke J, De Haene J, Stotland NE, Murphy EJ, Perez-Rodriguez M, King JC. Effect of a low-glycemic load Diet intervention on maternal and pregnancy outcomes in obese pregnant women. Nutrients. 2021;13(3).","DOI":"10.3390\/nu13030748"},{"key":"7239_CR44","doi-asserted-by":"crossref","unstructured":"Kusinski LC, Murphy HR, De Lucia Rolfe E, Rennie KL, Oude Griep LM, Hughes D et al. Dietary intervention in pregnant women with gestational diabetes; protocol for the DiGest Randomised Controlled Trial. Nutrients. 2020;12(4).","DOI":"10.3390\/nu12041165"},{"key":"7239_CR45","doi-asserted-by":"publisher","first-page":"c1395","DOI":"10.1136\/bmj.c1395","volume":"340","author":"K Horvath","year":"2010","unstructured":"Horvath K, Koch K, Jeitler K, Matyas E, Bender R, Bastian H, et al. Effects of treatment in women with gestational diabetes mellitus: systematic review and meta-analysis. BMJ. 2010;340:c1395.","journal-title":"BMJ"},{"issue":"1","key":"7239_CR46","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1186\/s12884-019-2704-x","volume":"20","author":"Y Dong","year":"2020","unstructured":"Dong Y, Zhai Y, Wang J, Chen Y, Xie X, Zhang C, Liu J, Lu Y, Tang G, Han L, et al. Glycated albumin in pregnancy: reference intervals establishment and its predictive value in adverse pregnancy outcomes. BMC Pregnancy Childbirth. 2020;20(1):12.","journal-title":"BMC Pregnancy Childbirth"},{"key":"7239_CR47","first-page":"165","volume":"32","author":"YC Zhang","year":"2017","unstructured":"Zhang YC, Ni YH, Ji X, Ying CM. Correlation of neonate birth weight with glycated hemoglobin A1c and glycated albumin levels in patients with gestational diabetes mellitus. Lab Med. 2017;32:165\u20138.","journal-title":"Lab Med"},{"issue":"6","key":"7239_CR48","doi-asserted-by":"publisher","first-page":"496","DOI":"10.1016\/j.pedneo.2016.02.003","volume":"57","author":"D Sugawara","year":"2016","unstructured":"Sugawara D, Maruyama A, Imanishi T, Sugiyama Y, Ichihashi K. Complications in infants of Diabetic Mothers related to glycated albumin and hemoglobin levels during pregnancy. Pediatr Neonatol. 2016;57(6):496\u2013500.","journal-title":"Pediatr Neonatol"},{"issue":"6","key":"7239_CR49","doi-asserted-by":"publisher","first-page":"768","DOI":"10.1080\/01443615.2019.1584886","volume":"39","author":"N Mendes","year":"2019","unstructured":"Mendes N, Alves M, Andrade R, Ribeiro RT, Papoila AL, Serrano F. Association between glycated haemoglobin, glycated albumin and fructosamine with neonatal birthweight and large-for-date status infants in gestational diabetes mellitus: a prospective cohort study. J Obstet Gynaecol. 2019;39(6):768\u201373.","journal-title":"J Obstet Gynaecol"},{"issue":"11","key":"7239_CR50","doi-asserted-by":"publisher","first-page":"1484","DOI":"10.1007\/s00125-002-0958-7","volume":"45","author":"IM Evers","year":"2002","unstructured":"Evers IM, de Valk HW, Mol BW, ter Braak EW, Visser GH. Macrosomia despite good glycaemic control in type I diabetic pregnancy; results of a nationwide study in the Netherlands. Diabetologia. 2002;45(11):1484\u20139.","journal-title":"Diabetologia"},{"issue":"7","key":"7239_CR51","doi-asserted-by":"publisher","first-page":"640","DOI":"10.2337\/diacare.17.7.640","volume":"17","author":"RGP Schwartz","year":"1994","unstructured":"Schwartz RGP, Petzold K, Brambilla D, Hiilesmaa V, Teramo KA. Hyperinsulinemia and macrosomia in the fetus of the diabetic mother. Diabetes Care. 1994;17(7):640\u20138.","journal-title":"Diabetes Care"},{"issue":"9","key":"7239_CR52","doi-asserted-by":"publisher","first-page":"1858","DOI":"10.2337\/dc08-0039","volume":"31","author":"UM Schaefer-Graf","year":"2008","unstructured":"Schaefer-Graf UM, Graf K, Kulbacka I, Kjos SL, Dudenhausen J, Vetter K, Herrera E. Maternal lipids as strong determinants of fetal environment and growth in pregnancies with gestational diabetes mellitus. Diabetes Care. 2008;31(9):1858\u201363.","journal-title":"Diabetes Care"},{"issue":"5","key":"7239_CR53","doi-asserted-by":"publisher","first-page":"e1001036","DOI":"10.1371\/journal.pmed.1001036","volume":"8","author":"R Luoto","year":"2011","unstructured":"Luoto R, Kinnunen TI, Aittasalo M, Kolu P, Raitanen J, Ojala K, et al. Primary prevention of gestational diabetes mellitus and large-for-gestational-age newborns by lifestyle counseling: a cluster-randomized controlled trial. PLoS Med. 2011;8(5):e1001036.","journal-title":"PLoS Med"},{"issue":"6","key":"7239_CR54","doi-asserted-by":"publisher","first-page":"642","DOI":"10.1016\/j.ajog.2017.05.040","volume":"217","author":"MA Kominiarek","year":"2017","unstructured":"Kominiarek MA, Peaceman AM. Gestational weight gain. Am J Obstet Gynecol. 2017;217(6):642\u201351.","journal-title":"Am J Obstet Gynecol"},{"issue":"3","key":"7239_CR55","first-page":"CD000938","volume":"3","author":"M Boulvain","year":"2023","unstructured":"Boulvain M, Thornton JG. Induction of labour at or near term for suspected fetal macrosomia. Cochrane Database Syst Rev. 2023;3(3):CD000938.","journal-title":"Cochrane Database Syst Rev"},{"issue":"6","key":"7239_CR56","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1038\/s41440-020-0416-2","volume":"43","author":"N Iwama","year":"2020","unstructured":"Iwama N, Oba MS, Satoh M, Ohkubo T, Ishikuro M, Obara T, Sasaki S, Saito M, Murakami Y, Kuriyama SI, et al. Association of maternal home blood pressure trajectory during pregnancy with infant birth weight: the BOSHI study. Hypertens Res. 2020;43(6):550\u20139.","journal-title":"Hypertens Res"}],"container-title":["BMC Pregnancy and Childbirth"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12884-025-07239-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12884-025-07239-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12884-025-07239-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,13]],"date-time":"2025-02-13T10:42:01Z","timestamp":1739443321000},"score":1,"resource":{"primary":{"URL":"https:\/\/bmcpregnancychildbirth.biomedcentral.com\/articles\/10.1186\/s12884-025-07239-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,11]]},"references-count":56,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["7239"],"URL":"https:\/\/doi.org\/10.1186\/s12884-025-07239-2","relation":{},"ISSN":["1471-2393"],"issn-type":[{"value":"1471-2393","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,11]]},"assertion":[{"value":"17 October 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 January 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 February 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"This study was conducted in accordance with the Declaration of Helsinki and received approval from the Institutional Review Board of Beijing Tsinghua Changgung Hospital Ethics Committee (Ethical approval number: 21414-0-02). The need for consent to participate was also waived by Institutional Review Board of Beijing Tsinghua Changgung Hospital Ethics Committee.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare no competing interests.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"140"}}