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ORIGINAL ARTICLE

Development and validation of a nomogram to predict the risk of cesarean delivery in macrosomia

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Pages 518-523 | Received 15 Oct 2007, Published online: 03 Aug 2009

References

  • Surkan PJ, Hsieh CC, Johansson AL, Dickman PW, Cnattingius S. Reasons for increasing trends in large for gestational age births. Obstet Gynecol. 2004; 104: 720–6
  • Chauhan SP, Grobman WA, Gherman RA, Chauhan VB, Chang G, Magann EF, et al. Suspicion and treatment of the macrosomic fetus: a review. Am J Obstet Gynecol 2005; 193: 332–46
  • American College of Obstetricians and Gynecologists (ACOG). Fetal macrosomia. Washington, DC: American College of Obstetricians and Gynecologists (ACOG), 2000. ACOG Practice Bulletin No. 22.
  • 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)9–14
  • Deter RL, Spence LR. Identification of macrosomic, normal and intrauterine growth retarded neonates using the modified Neonatal Growth Assessment Score. Fetal Diagn Ther. 2004; 19(1)58–67
  • Boulet SL, Salihu HM, Alexander GR. Mode of delivery and birth outcomes of macrosomic infants. J Obstet Gynaecol. 2004; 24(6)622–9
  • Orskou J, Henriksen TB, Kesmodel U, Secher NJ. Maternal characteristics and lifestyle factors and the risk of delivering high birth weight infants. Obstet Gynecol. 2003; 102(1)115–20
  • Sanchez-Ramos L, Bernstein S, Kaunitz AM. Expectant management versus labor induction for suspected fetal macrosomia: a systematic review. Obstet Gynecol. 2002; 100: 997–1002
  • Levens A. Nomography. Wiley, New York 1959
  • Dreiseitl S, Harbauer A, Binder M, Kittler H. Nomographic representation of logistic regression models: a case study using patient self-assessment data. J Biomed Inform. 2005; 38: 389–94
  • Efron B. Bootstrap methods. Ann Stat. 1979; 7: 1–26
  • Smith GC, Dellens M, White IR, Pell JP. Combined logistic and Bayesian modeling of cesarean section risk. Am J Obstet Gynecol. 2004; 191: 2029–34
  • Sims CJ, Meyn L, Caruana R, Rao RB, Mitchell T, Krohn M. Predicting cesarean delivery with decision tree models. Am J Obstet Gynecol. 2000; 183: 1198–206
  • Seshadri L, Mukherjee B. A predictive model for cesarean section in low risk pregnancies. Int J Gynaecol Obstet. 2005; 89: 94–8
  • Krucoff MW, Croll MA, Pope JE, Granger CB, Pieper KS, Sigmon KN, et al. Heuristic and logistic principles of ST-segment interpretation in the time domain. Evolution in the context of the TAMI 7 trial design. J Electrocardiol. 1990; 23 Suppl: 6–10
  • MacDowell M, Somoza E, Rothe K, Fry R, Brady K, Bocklet A. Understanding birthing mode decision making using artificial neural networks. Med Decis Making. 2001; 21: 433–43
  • Macones GA, Hausman N, Edelstein R, Stamilio DM, Marder SJ. Predicting outcomes of trials of labor in women attempting vaginal birth after cesarean delivery: a comparison of multivariate methods with neural networks. Am J Obstet Gynecol. 2001; 184: 409–13
  • Van Zee KJ, Manasseh DM, Bevilacqua JL, Boolbol SK, Fey JV, Tan LK, et al. A nomogram for predicting the likelihood of additional nodal metastases in breast cancer patients with a positive sentinel node biopsy. Ann Surg Oncol. 2003; 10: 1140–51
  • Bochner BH, Kattan MW, Vora KC. International Bladder Cancer Nomogram Consortium. Postoperative nomogram predicting risk of recurrence after radical cystectomy for bladder cancer. J Clin Oncol. 2006; 24(24)3967–72
  • Rouzier R, Pusztai L, Delaloge S, Gonzalez-Angulo AM, Andre F, Hess KR, et al. Nomograms to predict pathologic complete response and metastasis-free survival after preoperative chemotherapy for breast cancer. J Clin Oncol. 2005; 23: 8331–9
  • Parrish KM, Holt VL, Easterling TR, Connell FA, LoGerfo JP. Effect of changes in maternal age, parity, and birth weight distribution on primary cesarean delivery rates. JAMA. 1994; 271: 443–7
  • Patel RR, Peters TJ, Murphy DJ; ALSPAC Study Team. Prenatal risk factors for caesarean section. Analyses of the ALSPAC cohort of 12,944 women in England. Int J Epidemiol. 2005;34:353–67.

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