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• W4384343487 abstract "Two models, derived from the Eunice Kennedy Shriver National Institute of Child Health and Human Development Maternal-Fetal Medicine Units (MFMU) Network Cesarean Registry, 1 Landon M.B. Hauth J.C. Leveno K.J. et al. Maternal and perinatal outcomes associated with a trial of labor after prior cesarean delivery. N Engl J Med. 2004; 351: 2581-2589 Crossref PubMed Scopus (978) Google Scholar were previously developed to estimate the chance of vaginal birth after cesarean delivery (VBAC) for those undertaking a trial of labor after cesarean delivery (TOLAC). 2 Grobman W.A. Lai Y. Landon M.B. et al. Development of a nomogram for prediction of vaginal birth after cesarean delivery. Obstet Gynecol. 2007; 109: 806-812 Crossref PubMed Scopus (325) Google Scholar ,3 Grobman W.A. Lai Y. Landon M.B. et al. Does information available at admission for delivery improve prediction of vaginal birth after cesarean?. Am J Perinatol. 2009; 26: 693-701 Crossref PubMed Scopus (93) Google Scholar One model used variables obtainable early in pregnancy, 2 Grobman W.A. Lai Y. Landon M.B. et al. Development of a nomogram for prediction of vaginal birth after cesarean delivery. Obstet Gynecol. 2007; 109: 806-812 Crossref PubMed Scopus (325) Google Scholar whereas the other model included variables that may not be known until admission for delivery. 3 Grobman W.A. Lai Y. Landon M.B. et al. Does information available at admission for delivery improve prediction of vaginal birth after cesarean?. Am J Perinatol. 2009; 26: 693-701 Crossref PubMed Scopus (93) Google Scholar Both included the socially constructed variables of race and ethnicity, which may reify these factors as a biologic construct of race and ethnicity and perpetuate health disparities. 4 Vyas D.A. Eisenstein L.G. Jones D.S. Hidden in plain sight - reconsidering the use of race correction in clinical algorithms. N Engl J Med. 2020; 383: 874-882 Crossref PubMed Scopus (662) Google Scholar With the same dataset, we developed a third model based on variables known early in pregnancy that excluded race and ethnicity, which was well calibrated and had a similar classification ability as the previous “early variable” model. 2 Grobman W.A. Lai Y. Landon M.B. et al. Development of a nomogram for prediction of vaginal birth after cesarean delivery. Obstet Gynecol. 2007; 109: 806-812 Crossref PubMed Scopus (325) Google Scholar ,5 Grobman W.A. Sandoval G. Rice M.M. et al. Prediction of vaginal birth after cesarean delivery in term gestations: a calculator without race and ethnicity. Am J Obstet Gynecol. 2021; 225: 664.e1-664.e7 Abstract Full Text Full Text PDF PubMed Scopus (57) Google Scholar Our objective here was to develop a prediction model for VBAC that did not include race or ethnicity but that added variables known at the end of pregnancy." @default.
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• W4384343487 title "Prediction of vaginal birth after cesarean using information at admission for delivery: a calculator without race or ethnicity" @default.
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