{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T13:13:09Z","timestamp":1782825189507,"version":"3.54.5"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,11,27]],"date-time":"2022-11-27T00:00:00Z","timestamp":1669507200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,11,27]],"date-time":"2022-11-27T00:00:00Z","timestamp":1669507200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Arch Gynecol Obstet"],"DOI":"10.1007\/s00404-022-06860-2","type":"journal-article","created":{"date-parts":[[2022,11,27]],"date-time":"2022-11-27T11:30:13Z","timestamp":1669548613000},"page":"1505-1514","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Fetal pancreas size and maternal serum biomarkers glycated albumin and insulin-regulated aminopeptidase provide no potential for early prediction of gestational diabetes mellitus"],"prefix":"10.1007","volume":"308","clinical-trial-number":[{"clinical-trial-number":"nct05392231","registry":"10.18810\/clinical-trials-gov"}],"author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4577-3368","authenticated-orcid":false,"given":"Filiz Yarsilikal","family":"Guleroglu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1787-2692","authenticated-orcid":false,"given":"Aliye Balkan","family":"Ozmen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1666-0452","authenticated-orcid":false,"given":"Isil Turan","family":"Bakirci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6785-2089","authenticated-orcid":false,"given":"Sevilay Yavuz","family":"Dogu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4719-0246","authenticated-orcid":false,"given":"Ibrahim","family":"Y\u0131lmaz","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5767-7894","authenticated-orcid":false,"given":"Ali","family":"Cetin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,11,27]]},"reference":[{"key":"6860_CR1","doi-asserted-by":"publisher","first-page":"e0252501","DOI":"10.1371\/journal.pone.0252501","volume":"16","author":"B Man","year":"2021","unstructured":"Man B, Schwartz A, Pugach O, Xia Y, Gerber B (2021) A clinical diabetes risk prediction model for prediabetic women with prior gestational diabetes. PLoS\u00a0One 16:e0252501\u2013e0252501. https:\/\/doi.org\/10.1371\/journal.pone.0252501","journal-title":"PLoS\u00a0One"},{"key":"6860_CR2","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1097\/FM9.0000000000000019","volume":"1","author":"C Shou","year":"2019","unstructured":"Shou C, Wei Y-M, Wang C, Yang H-X (2019) Updates in long-term maternal and fetal adverse effects of gestational diabetes mellitus. Matern Fetal Med 1:91\u201394","journal-title":"Matern Fetal Med"},{"key":"6860_CR3","doi-asserted-by":"publisher","first-page":"679","DOI":"10.2337\/dc16-2397","volume":"40","author":"WH Tam","year":"2017","unstructured":"Tam WH, Ma RCW, Ozaki R, Li AM, Chan MHM, Yuen LY et al (2017) In utero exposure to maternal hyperglycemia increases childhood cardiometabolic risk in offspring. Diabetes Care 40:679\u2013686. https:\/\/doi.org\/10.2337\/dc16-2397","journal-title":"Diabetes Care"},{"key":"6860_CR4","doi-asserted-by":"publisher","first-page":"e1191","DOI":"10.1210\/clinem\/dgaa899","volume":"106","author":"Y-T Wu","year":"2021","unstructured":"Wu Y-T, Zhang C-J, Mol BW, Kawai A, Li C, Chen L et al (2021) Early prediction of gestational diabetes mellitus in the Chinese population via advanced machine learning. J Clin Endocrinol Metab 106:e1191\u2013e1205. https:\/\/doi.org\/10.1210\/clinem\/dgaa899","journal-title":"J Clin Endocrinol Metab"},{"key":"6860_CR5","doi-asserted-by":"publisher","DOI":"10.3390\/nu12103094","author":"N Salmeri","year":"2020","unstructured":"Salmeri N, Villanacci R, Ottolina J, Bartiromo L, Cavoretto P, Dolci C et al (2020) Maternal arsenic exposure and gestational diabetes: a systematic review and meta-analysis. Nutrients. https:\/\/doi.org\/10.3390\/nu12103094","journal-title":"Nutrients"},{"key":"6860_CR6","doi-asserted-by":"publisher","first-page":"74.e1","DOI":"10.1016\/j.ajog.2021.12.032","volume":"227","author":"B Eskenazi","year":"2022","unstructured":"Eskenazi B, Rauch S, Iurlaro E, Gunier RB, Rego A, Gravett MG et al (2022) Diabetes mellitus, maternal adiposity, and insulin-dependent gestational diabetes are associated with COVID-19 in pregnancy: the INTERCOVID study. Am J Obstet Gynecol 227:74.e1-74.e16. https:\/\/doi.org\/10.1016\/j.ajog.2021.12.032","journal-title":"Am J Obstet Gynecol"},{"key":"6860_CR7","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1007\/s00404-021-06024-8","volume":"304","author":"I Yoles","year":"2021","unstructured":"Yoles I, Sheiner E, Wainstock T (2021) First pregnancy risk factors and future gestational diabetes mellitus. Arch Gynecol Obstet 304:929\u2013934. https:\/\/doi.org\/10.1007\/s00404-021-06024-8","journal-title":"Arch Gynecol Obstet"},{"key":"6860_CR8","doi-asserted-by":"publisher","first-page":"995","DOI":"10.1007\/s00404-021-06279-1","volume":"305","author":"JA Grieger","year":"2022","unstructured":"Grieger JA, Leemaqz SY, Knight EJ, Grzeskowiak LE, McCowan LM, Dekker GA et al (2022) Relative importance of metabolic syndrome components for developing gestational diabetes. Arch Gynecol Obstet 305:995\u20131002. https:\/\/doi.org\/10.1007\/s00404-021-06279-1","journal-title":"Arch Gynecol Obstet"},{"key":"6860_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/s00404-022-06673-3","author":"A Sirico","year":"2022","unstructured":"Sirico A, Rossi ED, Degennaro VA, Arena V, Rizzi A, Tartaglione L et al (2022) Placental diabesity: placental VEGF and CD31 expression according to pregestational BMI and gestational weight gain in women with gestational diabetes. Arch Gynecol Obstet. https:\/\/doi.org\/10.1007\/s00404-022-06673-3","journal-title":"Arch Gynecol Obstet"},{"key":"6860_CR10","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1038\/nrendo.2017.167","volume":"14","author":"I Leong","year":"2018","unstructured":"Leong I (2018) ANGPTL8 as an early predictor of gestational diabetes mellitus. Nat Rev Endocrinol 14:64. https:\/\/doi.org\/10.1038\/nrendo.2017.167","journal-title":"Nat Rev Endocrinol"},{"key":"6860_CR11","doi-asserted-by":"publisher","first-page":"891","DOI":"10.1007\/s00592-016-0867-8","volume":"53","author":"H Ning","year":"2016","unstructured":"Ning H, Tao H, Weng Z, Zhao X (2016) Plasma fatty acid-binding protein 4 (FABP4) as a novel biomarker to predict gestational diabetes mellitus. Acta Diabetol 53:891\u2013898. https:\/\/doi.org\/10.1007\/s00592-016-0867-8","journal-title":"Acta Diabetol"},{"key":"6860_CR12","doi-asserted-by":"publisher","first-page":"536","DOI":"10.4103\/ijem.IJEM_319_19","volume":"23","author":"SV Madhu","year":"2019","unstructured":"Madhu SV, Bhardwaj S, Jhamb R, Srivastava H, Sharma S, Raizada N (2019) Prediction of gestational diabetes from first trimester serum adiponectin levels in indian women. Indian J Endocrinol Metab 23:536\u2013539. https:\/\/doi.org\/10.4103\/ijem.IJEM_319_19","journal-title":"Indian J Endocrinol Metab"},{"key":"6860_CR13","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1159\/000486853","volume":"45","author":"AN Sweeting","year":"2019","unstructured":"Sweeting AN, Wong J, Appelblom H, Ross GP, Kouru H, Williams PF et al (2019) A novel early pregnancy risk prediction model for gestational diabetes mellitus. Fetal Diagn Ther 45:76\u201384. https:\/\/doi.org\/10.1159\/000486853","journal-title":"Fetal Diagn Ther"},{"key":"6860_CR14","doi-asserted-by":"publisher","first-page":"121","DOI":"10.20945\/2359-3997000000126","volume":"63","author":"H Kansu-Celik","year":"2019","unstructured":"Kansu-Celik H, Ozgu-Erdinc AS, Kisa B, Findik RB, Yilmaz C, Tasci Y (2019) Prediction of gestational diabetes mellitus in the first trimester: comparison of maternal fetuin-A, N-terminal proatrial natriuretic peptide, high-sensitivity C-reactive protein, and fasting glucose levels. Arch Endocrinol Metab 63:121\u2013127. https:\/\/doi.org\/10.20945\/2359-3997000000126","journal-title":"Arch Endocrinol Metab"},{"key":"6860_CR15","first-page":"271","volume":"20","author":"RA Hattan","year":"1982","unstructured":"Hattan RA, Rees GK, Johnson ML (1982) Normal fetal anatomy. Radiol Clin North Am 20:271\u2013284","journal-title":"Radiol Clin North Am"},{"key":"6860_CR16","first-page":"27","volume":"7","author":"DR Cyr","year":"1983","unstructured":"Cyr DR (1983) Ultrasonic visualization of the fetal pancreas and hepatic venous circulation. Med Ultrasound 7:27\u201331","journal-title":"Med Ultrasound"},{"key":"6860_CR17","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1002\/jcu.1870170704","volume":"17","author":"LM Hill","year":"1989","unstructured":"Hill LM, Peterson C, Rivello D, Hixson J, Belfar HL (1989) Sonographic detection of the fetal pancreas. J Clin Ultrasound 17:475\u2013479. https:\/\/doi.org\/10.1002\/jcu.1870170704","journal-title":"J Clin Ultrasound"},{"key":"6860_CR18","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/0020-7292(88)90197-x","volume":"26","author":"K Hata","year":"1988","unstructured":"Hata K, Hata T, Kitao M (1988) Ultrasonographic identification and measurement of the human fetal pancreas in utero. Int J Gynaecol Obstet Off Organ Int Fed Gynaecol Obstet 26:61\u201364. https:\/\/doi.org\/10.1016\/0020-7292(88)90197-x","journal-title":"Int J Gynaecol Obstet Off Organ Int Fed Gynaecol Obstet"},{"key":"6860_CR19","doi-asserted-by":"publisher","first-page":"1997","DOI":"10.1002\/jum.14233","volume":"36","author":"Z Kivilevitch","year":"2017","unstructured":"Kivilevitch Z, Achiron R, Perlman S, Gilboa Y (2017) The Normal Fetal Pancreas. J Ultrasound Med Off J Am Inst Ultrasound Med 36:1997\u20132005. https:\/\/doi.org\/10.1002\/jum.14233","journal-title":"J Ultrasound Med Off J Am Inst Ultrasound Med"},{"key":"6860_CR20","doi-asserted-by":"publisher","first-page":"2387","DOI":"10.1080\/14767058.2018.1551351","volume":"33","author":"H Akkaya","year":"2020","unstructured":"Akkaya H, B\u00fcke B, Uysal G (2020) Fetal pancreatic hyperechogenicity may be an early ultrasonographic sign of gestational diabetes mellitus. J Matern Neonatal Med Off J Eur Assoc Perinat Med Fed Asia Ocean Perinat Soc Int Soc Perinat Obstet 33:2387\u20132394. https:\/\/doi.org\/10.1080\/14767058.2018.1551351","journal-title":"J Matern Neonatal Med Off J Eur Assoc Perinat Med Fed Asia Ocean Perinat Soc Int Soc Perinat Obstet"},{"key":"6860_CR21","doi-asserted-by":"publisher","first-page":"382","DOI":"10.5114\/aoms\/140578","volume":"18","author":"Y Gilboa","year":"2022","unstructured":"Gilboa Y, Krekora M, Perlman S, Bardin R, Kassif E, Achiron R et al (2022) Sonographic measurement of the fetal pancreas in women with gestational diabetes. Arch Med Sci 18:382\u2013387. https:\/\/doi.org\/10.5114\/aoms\/140578","journal-title":"Arch Med Sci"},{"key":"6860_CR22","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1016\/j.diabres.2018.05.001","volume":"145","author":"AP Nombo","year":"2018","unstructured":"Nombo AP, Mwanri AW, Brouwer-Brolsma EM, Ramaiya KL, Feskens EJM (2018) Gestational diabetes mellitus risk score: a practical tool to predict gestational diabetes mellitus risk in Tanzania. Diabetes Res Clin Pract 145:130\u2013137. https:\/\/doi.org\/10.1016\/j.diabres.2018.05.001","journal-title":"Diabetes Res Clin Pract"},{"issue":"654","key":"6860_CR23","doi-asserted-by":"publisher","first-page":"e1","DOI":"10.1016\/j.ajog.2010.04.006","volume":"202","author":"DR Coustan","year":"2010","unstructured":"Coustan DR, Lowe LP, Metzger BE, Dyer AR (2010) The hyperglycemia and adverse pregnancy outcome (HAPO) study: paving the way for new diagnostic criteria for gestational diabetes mellitus. Am J Obstet Gynecol 202(654):e1-6. https:\/\/doi.org\/10.1016\/j.ajog.2010.04.006","journal-title":"Am J Obstet Gynecol"},{"key":"6860_CR24","doi-asserted-by":"publisher","first-page":"S173","DOI":"10.1016\/S0020-7292(15)30033-3","volume":"131","author":"M Hod","year":"2015","unstructured":"Hod M, Kapur A, Sacks DA, Hadar E, Agarwal M, Di Renzo GC et al (2015) The international federation of gynecology and obstetrics (FIGO) initiative on gestational diabetes mellitus: a pragmatic guide for diagnosis, management, and care#. Int J Gynecol Obstet 131:S173\u2013S211. https:\/\/doi.org\/10.1016\/S0020-7292(15)30033-3","journal-title":"Int J Gynecol Obstet"},{"key":"6860_CR25","doi-asserted-by":"publisher","first-page":"3833","DOI":"10.2174\/1381612827666210125155428","volume":"27","author":"C Chatzakis","year":"2021","unstructured":"Chatzakis C, Cavoretto P, Sotiriadis A (2021) Gestational diabetes mellitus pharmacological prevention and treatment. Curr Pharm Des 27:3833\u20133840. https:\/\/doi.org\/10.2174\/1381612827666210125155428","journal-title":"Curr Pharm Des"},{"key":"6860_CR26","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1159\/000369970","volume":"38","author":"A Syngelaki","year":"2015","unstructured":"Syngelaki A, Pastides A, Kotecha R, Wright A, Akolekar R, Nicolaides KH (2015) First-trimester screening for gestational diabetes mellitus based on maternal characteristics and history. Fetal Diagn Ther 38:14\u201321. https:\/\/doi.org\/10.1159\/000369970","journal-title":"Fetal Diagn Ther"},{"key":"6860_CR27","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.ejogrb.2019.10.019","volume":"243","author":"A Sirico","year":"2019","unstructured":"Sirico A, Lanzone A, Mappa I, Sarno L, S\u0142odki M, Pitocco D et al (2019) The role of first trimester fetal heart rate in the prediction of gestational diabetes: a multicenter study. Eur J Obstet Gynecol Reprod Biol 243:158\u2013161. https:\/\/doi.org\/10.1016\/j.ejogrb.2019.10.019","journal-title":"Eur J Obstet Gynecol Reprod Biol"},{"key":"6860_CR28","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.ejogrb.2018.11.003","volume":"232","author":"A Sirico","year":"2019","unstructured":"Sirico A, Sarno L, Zullo F, Martinelli P, Maruotti GM (2019) Pregestational diabetes and fetal heart rate in the first trimester of pregnancy. Eur J Obstet Gynecol Reprod Biol 232:30\u201332. https:\/\/doi.org\/10.1016\/j.ejogrb.2018.11.003","journal-title":"Eur J Obstet Gynecol Reprod Biol"},{"key":"6860_CR29","doi-asserted-by":"publisher","first-page":"885","DOI":"10.1007\/s00404-021-06010-0","volume":"304","author":"F Xi","year":"2021","unstructured":"Xi F, Chen H, Chen Q, Chen D, Chen Y, Sagnelli M et al (2021) Second-trimester and third-trimester maternal lipid profiles significantly correlated to LGA and macrosomia. Arch Gynecol Obstet 304:885\u2013894. https:\/\/doi.org\/10.1007\/s00404-021-06010-0","journal-title":"Arch Gynecol Obstet"},{"key":"6860_CR30","doi-asserted-by":"publisher","first-page":"837","DOI":"10.1016\/S0140-6736(98)07019-6","volume":"352","author":"UK Prospective Diabetes Study (UKPDS) Group","year":"1998","unstructured":"UK Prospective Diabetes Study (UKPDS) Group (1998) Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). Lancet (London, England) 352:837\u2013853","journal-title":"Lancet (London, England)"},{"key":"6860_CR31","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.cca.2015.03.024","volume":"445","author":"G Cavagnolli","year":"2015","unstructured":"Cavagnolli G, Pimentel AL, Freitas PAC, Gross JL, Camargo JL (2015) Factors affecting A1C in non-diabetic individuals: review and meta-analysis. Clin Chim Acta 445:107\u2013114. https:\/\/doi.org\/10.1016\/j.cca.2015.03.024","journal-title":"Clin Chim Acta"},{"key":"6860_CR32","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1590\/2359-3997000000272","volume":"61","author":"PAC Freitas","year":"2017","unstructured":"Freitas PAC, Ehlert LR, Camargo JL (2017) Glycated albumin: a potential biomarker in diabetes. Arch Endocrinol Metab 61:296\u2013304. https:\/\/doi.org\/10.1590\/2359-3997000000272","journal-title":"Arch Endocrinol Metab"},{"key":"6860_CR33","doi-asserted-by":"publisher","first-page":"108040","DOI":"10.1016\/j.jdiacomp.2021.108040","volume":"35","author":"T Kohzuma","year":"2021","unstructured":"Kohzuma T, Tao X, Koga M (2021) Glycated albumin as biomarker: evidence and its outcomes. J Diabetes Complic 35:108040. https:\/\/doi.org\/10.1016\/j.jdiacomp.2021.108040","journal-title":"J Diabetes Complic"},{"key":"6860_CR34","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/s40618-016-0605-7","volume":"41","author":"J Zhu","year":"2018","unstructured":"Zhu J, Chen Y, Li C, Tao M, Teng Y (2018) The diagnostic value of glycated albumin in gestational diabetes mellitus. J Endocrinol Invest 41:121\u2013128. https:\/\/doi.org\/10.1007\/s40618-016-0605-7","journal-title":"J Endocrinol Invest"},{"key":"6860_CR35","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1007\/s12020-021-02673-6","volume":"72","author":"FC Chume","year":"2021","unstructured":"Chume FC, Renz PB, Hernandez MK, Freitas PAC, Camargo JL (2021) Is there a role for glycated albumin in the diagnosis of gestational diabetes mellitus? Endocrine 72:681\u2013687. https:\/\/doi.org\/10.1007\/s12020-021-02673-6","journal-title":"Endocrine"},{"key":"6860_CR36","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1248\/bpb.27.761","volume":"27","author":"SR Keller","year":"2004","unstructured":"Keller SR (2004) Role of the insulin-regulated aminopeptidase IRAP in insulin action and diabetes. Biol Pharm Bull 27:761\u2013764. https:\/\/doi.org\/10.1248\/bpb.27.761","journal-title":"Biol Pharm Bull"},{"key":"6860_CR37","doi-asserted-by":"publisher","first-page":"586225","DOI":"10.3389\/fmolb.2020.586225","volume":"7","author":"K Krskova","year":"2020","unstructured":"Krskova K, Balazova L, Dobrocsyova V, Olszanecki R, Suski M, Chai SY et al (2020) Insulin-regulated aminopeptidase inhibition ameliorates metabolism in obese zucker rats. Front Mol Biosci 7:586225","journal-title":"Front Mol Biosci"},{"key":"6860_CR38","doi-asserted-by":"publisher","first-page":"e230","DOI":"10.1016\/j.clinthera.2021.05.003","volume":"43","author":"TM Mostafa","year":"2021","unstructured":"Mostafa TM, El-Gharbawy NM, Werida RH (2021) Circulating IRAPe, Irisin, and IL-34 in relation to insulin resistance in patients with type 2 diabetes. Clin Ther 43:e230\u2013e240. https:\/\/doi.org\/10.1016\/j.clinthera.2021.05.003","journal-title":"Clin Ther"},{"key":"6860_CR39","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1016\/j.ijgo.2016.05.016","volume":"135","author":"C Tian","year":"2016","unstructured":"Tian C, Huang Z, Wen Z (2016) Associations between serum placental leucine aminopeptidase and pregnancy outcomes. Int J Gynecol Obstet 135:255\u2013258. https:\/\/doi.org\/10.1016\/j.ijgo.2016.05.016","journal-title":"Int J Gynecol Obstet"}],"container-title":["Archives of Gynecology and Obstetrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00404-022-06860-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00404-022-06860-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00404-022-06860-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T13:33:40Z","timestamp":1744205620000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00404-022-06860-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,27]]},"references-count":39,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2023,11]]}},"alternative-id":["6860"],"URL":"https:\/\/doi.org\/10.1007\/s00404-022-06860-2","relation":{},"ISSN":["1432-0711"],"issn-type":[{"value":"1432-0711","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,11,27]]},"assertion":[{"value":"14 July 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 November 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 November 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}