Prediction models of vaginal birth after cesarean delivery: A systematic review.
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[1] P. Royle,et al. Optimal surveillance strategies for patients with stage 1 cutaneous melanoma post primary tumour excision: three systematic reviews and an economic model. , 2021, Health technology assessment.
[2] S. Min,et al. Risk Prediction Models for Inadvertent Intraoperative Hypothermia: A Systematic Review. , 2021, Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses.
[3] Joshua I. Rosenbloom,et al. Prediction of successful preterm vaginal birth after cesarean among women who never delivered vaginally , 2021, Archives of Gynecology and Obstetrics.
[4] Ann Wright,et al. A comparison of antenatal prediction models for vaginal birth after caesarean section. , 2021, Annals of the Academy of Medicine, Singapore.
[5] Xiaoqin Luo,et al. Evaluation of factors that predict the success rate of trial of labor after the cesarean section , 2021, BMC Pregnancy and Childbirth.
[6] Jun Zhang,et al. Trends and projections of caesarean section rates: global and regional estimates , 2021, BMJ Global Health.
[7] M. Rice,et al. Prediction of vaginal birth after cesarean in term gestations: A calculator without race and ethnicity. , 2021, American journal of obstetrics and gynecology.
[8] E. Mayo-Wilson,et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews , 2021, BMJ.
[9] N. Assefa,et al. Predictors of success of trial of labor after cesarean section: A nested case–control study at public hospitals in Eastern Ethiopia , 2021, Women's health.
[10] M. Upadhyay,et al. A prospective study of a new prediction model of vaginal birth after cesarean section at a tertiary care centre , 2020, Turkish journal of obstetrics and gynecology.
[11] Jinying Luo,et al. Establishment of an antepartum predictive scoring model to identify candidates for vaginal birth after cesarean , 2020, BMC Pregnancy and Childbirth.
[12] Yangyu Zhao,et al. Development and Validation of Predictive Models for Vaginal Birth After Cesarean Delivery in China , 2020, Medical science monitor : international medical journal of experimental and clinical research.
[13] A. Asefa,et al. Validation of a Vaginal Birth after Cesarean Delivery Prediction Model in Teaching Hospitals of Addis Ababa University: A Cross-Sectional Study , 2020, BioMed research international.
[14] Huixia Yang,et al. The trend of caesarean birth rate changes in China after ‘universal two-child policy’ era: a population-based study in 2013–2018 , 2020, BMC Medicine.
[15] A. Betrán,et al. Reducing unnecessary caesarean sections: scoping review of financial and regulatory interventions , 2020, Reproductive Health.
[16] A. Frick. Advanced maternal age and adverse pregnancy outcomes. , 2020, Best practice & research. Clinical obstetrics & gynaecology.
[17] Zhaodong Liu,et al. Prediction of vaginal birth after cesarean delivery in Southeast China: a retrospective cohort study , 2020, BMC Pregnancy and Childbirth.
[18] Jing Luo,et al. Verification a model of predicting vaginal birth after cesarean delivery in Chinese pregnant women , 2019, Medicine.
[19] K. Källén,et al. Third‐trimester prediction of successful vaginal birth after one cesarean delivery—A Swedish model , 2019, Acta obstetricia et gynecologica Scandinavica.
[20] A. Chang,et al. Examining the validity of a predictive model for vaginal birth after cesarean , 2019, Journal of perinatal medicine.
[21] Jing Lin,et al. Establishment and validation of a prediction model for vaginal delivery after cesarean and its pregnancy outcomes-Based on a prospective study. , 2019, European journal of obstetrics, gynecology, and reproductive biology.
[22] S. Bhattacharya,et al. Planned mode of delivery after previous cesarean section and short-term maternal and perinatal outcomes: A population-based record linkage cohort study in Scotland , 2019, PLoS medicine.
[23] Yun-xiu Li,et al. Predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in China , 2019, BMJ Open.
[24] R. Hiscock,et al. Estimating success of vaginal birth after caesarean section in a regional Australian population: Validation of a prediction model , 2019, The Australian & New Zealand journal of obstetrics & gynaecology.
[25] Karel Moons,et al. PROBAST: A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration , 2019, Annals of Internal Medicine.
[26] Yanping Xing,et al. Development of a Modified Score System as Prediction Model for Successful Vaginal Birth After Cesarean Delivery , 2018, Clinical and translational science.
[27] G. Collins,et al. PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies , 2019, Annals of Internal Medicine.
[28] F. Barros,et al. Global epidemiology of use of and disparities in caesarean sections , 2018, The Lancet.
[29] C. Homer,et al. Short-term and long-term effects of caesarean section on the health of women and children , 2018, The Lancet.
[30] Cihan Çetin,et al. The effect of advanced maternal age on perinatal outcomes in nulliparous singleton pregnancies , 2018, BMC Pregnancy and Childbirth.
[31] Juan Liang,et al. Prior caesarean section and likelihood of vaginal birth, 2012–2016, China , 2018, Bulletin of the World Health Organization.
[32] A. Puertas,et al. An integrated model with classification criteria to predict vaginal delivery success after cesarean section , 2018, The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians.
[33] Shiliang Liu,et al. Mode of delivery after a previous cesarean birth, and associated maternal and neonatal morbidity , 2018, Canadian Medical Association Journal.
[34] M. Shafiee,et al. Antenatal scoring system in predicting the success of planned vaginal birth following one previous caesarean section , 2018, Journal of obstetrics and gynaecology : the journal of the Institute of Obstetrics and Gynaecology.
[35] C. Ekelund,et al. Risk of Adverse Pregnancy Outcomes at Advanced Maternal Age. , 2018, Obstetrics and gynecology.
[36] Xuejing Song,et al. Prediction of vaginal birth after cesarean delivery in Chinese parturients , 2018, Scientific Reports.
[37] A. Barros,et al. Within country inequalities in caesarean section rates: observational study of 72 low and middle income countries , 2018, British Medical Journal.
[38] J.-B. Haumonté,et al. French validation and adaptation of the Grobman nomogram for prediction of vaginal birth after cesarean delivery. , 2017, Journal of gynecology obstetrics and human reproduction.
[39] Mayur D. Patel,et al. Predicting Successful Trial of Labor After Cesarean Delivery: Evaluation of Two Scoring Systems , 2018, The Journal of Obstetrics and Gynecology of India.
[40] P. Albert,et al. Interpregnancy weight change and adverse maternal outcomes: a retrospective cohort study. , 2017, Annals of Epidemiology.
[41] E. Gratacós,et al. Validation of the prediction model for success of vaginal birth after cesarean delivery at the university hospital in Barcelona , 2017, Journal of Maternal-Fetal & Neonatal Medicine.
[42] L. Trasande,et al. Geographic Variations and Temporal Trends in Cesarean Delivery Rates in China, 2008-2014 , 2017 .
[43] K. Atwa,et al. Validation of the close‐to‐delivery prediction model for vaginal birth after cesarean delivery in a Middle Eastern cohort , 2016, International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics.
[44] A. Bhide,et al. Prediction of vaginal birth after cesarean delivery , 2016, International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics.
[45] Y. Yogev,et al. Prediction of successful trial of labor after cesarean – the benefit of prior vaginal delivery , 2015, The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians.
[46] R. Mikolajczyk,et al. Association between rates of caesarean section and maternal and neonatal mortality in the 21st century: a worldwide population‐based ecological study with longitudinal data , 2015, BJOG : an international journal of obstetrics and gynaecology.
[47] R. Mikolajczyk,et al. WHO Statement on Caesarean Section Rates , 2015, BJOG : an international journal of obstetrics and gynaecology.
[48] R. Segurado,et al. Vaginal birth after caesarean section prediction models: a UK comparative observational study. , 2015, European journal of obstetrics, gynecology, and reproductive biology.
[49] K. Maršál,et al. Predicting the chance of vaginal delivery after one cesarean section: validation and elaboration of a published prediction model. , 2015, European journal of obstetrics, gynecology, and reproductive biology.
[50] K. Moons,et al. Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement , 2015, BJOG : an international journal of obstetrics and gynaecology.
[51] G. Collins,et al. Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist , 2014, PLoS medicine.
[52] C. Lohse,et al. Predicting Vaginal Birth after Cesarean Section: A Cohort Study , 2014, Gynecologic and Obstetric Investigation.
[53] G. Kleiverda,et al. Vaginal birth after a caesarean section: the development of a Western European population‐based prediction model for deliveries at term , 2014, BJOG : an international journal of obstetrics and gynaecology.
[54] G. Stoddard,et al. Simple, Validated Vaginal Birth After Cesarean Delivery Prediction Model for Use at the Time of Admission , 2013, Obstetrics and gynecology.
[55] W. Grobman,et al. Validation of a prediction model for vaginal birth after caesarean. , 2013, Journal of obstetrics and gynaecology Canada : JOGC = Journal d'obstetrique et gynecologie du Canada : JOGC.
[56] K. Miyazaki,et al. Validation of the Prediction Model for Success of Vaginal Birth after Cesarean Delivery in Japanese Women , 2012, International journal of medical sciences.
[57] G. Saade,et al. Does information available at delivery improve the accuracy of predicting vaginal birth after cesarean? Validation of the published models in an independent patient cohort. , 2011, American journal of perinatology.
[58] M. McDonagh,et al. Vaginal birth after cesarean: new insights. , 2010, Evidence report/technology assessment.
[59] B. Sibai,et al. Does Information Available at Admission for Delivery Improve Prediction of Vaginal Birth after Cesarean? , 2009, American journal of perinatology.
[60] Dwight J Rouse,et al. Development of a Nomogram for Prediction of Vaginal Birth After Cesarean Delivery , 2007, Obstetrics and gynecology.
[61] J. Peipert,et al. Predicting Failure of a Vaginal Birth Attempt After Cesarean Delivery , 2005, Obstetrics and gynecology.