[1] Qiao J, Feng HL. Assisted reproductive technology in China: compliance and non-compliance[J]. Transl Pediatr, 2014, 3(2): 91–97.
[2] Zhou Z, Zheng D, Wu H, et al. Epidemiology of infertility in China: a population-based study[J]. BJOG, 2018, 125(4): 432–441.
[3] Zarinara A, Zeraati H, Kamali K, et al. Models predicting success of infertility treatment: a systematic review[J]. J Reprod Infertil, 2016, 17(2): 68–81.
[4] Nelson SM, Lawlor DA. Predicting live birth, preterm delivery, and low birth weight in infants born from in vitro fertilisation: a prospective study of 144,018 treatment cycles[J]. PLoS Med, 2011, 8(1): e1000386.
[5] De Neubourg D, Gerris J, Mangelschots K, et al. Single top quality embryo transfer as a model for prediction of early pregnancy outcome[J]. Hum Reprod, 2004, 19(6): 1476–1479.
[6] De Mouzon J, Goossens V, Bhattacharya S, et al. Assisted reproductive technology in Europe, 2006: results generated from European registers by ESHRE[J]. Hum Reprod, 2010, 25(8): 1851–1862.
[7] McLernon DJ, Steyerberg EW, Te Velde ER, et al. Predicting the chances of a live birth after one or more complete cycles of in vitro fertilisation: population based study of linked cycle data from 113873 women[J]. BMJ, 2016, 355: i5735.
[8] Clarke JF, van Rumste MME, Farquhar CM, et al. Measuring outcomes in fertility trials: can we rely on clinical pregnancy rates?[J]. Fertil Steril, 2010, 94(5): 1647–1651.
[9] Schieve LA, Peterson HB, Meikle SF, et al. Live-birth rates and multiple-birth risk using in vitro fertilization[J]. JAMA, 1999, 282(19): 1832–1888.
[10] Wang AC, Wang Y, Wu FX, et al. Assessing predictors for the success of GnRH antagonist protocol in reproductive women in IVF/ICSI - in fresh cycles[J]. Biomed Rep, 2017, 7(5): 482–486.
[11] Cai QF, Wan F, Huang R, et al. Factors predicting the cumulative outcome of IVF/ICSI treatment: a multivariable analysis of 2450 patients[J]. Hum Reprod, 2011, 26(9): 2532–2540.
[12] Verberg MFG, Eijkemans MJC, Macklon NS, et al. Predictors of ongoing pregnancy after single-embryo transfer following mild ovarian stimulation for IVF[J]. Fertil Steril, 2008, 89(5): 1159–1165.
[13] Blank C, Wildeboer RR, DeCroo I, et al. Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective[J]. Fertil Steril, 2019, 111(2): 318–326.
[14] Lintsen AME, Eijkemans MJC, Hunault CC, et al. Predicting ongoing pregnancy chances after IVF and ICSI: a national prospective study[J]. Hum Reprod, 2007, 22(9): 2455–2462.
[15] Borque Á, Esteban LM, Sanz G, et al. Usefulness of clinical nomograms and predictive models for PCA. Predictive clinical factors of tumor agressiveness[J]. Arch Esp Urol (in Spanish), 2015, 68(3): 267–281.
[16] Ashmita J, Vikas S, Swati G. The impact of progesterone level on day of hCG injection in IVF cycles on clinical pregnancy rate[J]. J Hum Reprod Sci, 2017, 10(4): 265–270.
[17] Dhillon RK, McLernon DJ, Smith PP, et al. Predicting the chance of live birth for women undergoing IVF: a novel pretreatment counselling tool[J]. Hum Reprod, 2016, 31(1): 84–92.
[18] Hansen KR, He ALW, Styer AK, et al. Predictors of pregnancy and live-birth in couples with unexplained infertility after ovarian stimulation-intrauterine insemination[J]. Fertil Steril, 2016, 105(6): 1575–1583.e2.
[19] Broekmans FJ, Knauff EAH, te Velde ER, et al. Female reproductive ageing: current knowledge and future trends[J]. Trends Endocrinol Metab, 2007, 18(2): 58–65.
[20] van Loendersloot LL, van Wely M, Repping S, et al. Individualized decision-making in IVF: calculating the chances of pregnancy[J]. Hum Reprod, 2013, 28(11): 2972–2980.
[21] Ulug U, Ben-Shlomo I, Turan E, et al. Conception rates following assisted reproduction in poor responder patients: a retrospective study in 300 consecutive cycles[J]. Reprod Biomed Online, 2003, 6(4): 439–443.
[22] Kawwass JF, Crawford S, Kissin DM, et al. Tubal factor infertility and perinatal risk after assisted reproductive technology[J]. Obstet Gynecol, 2013, 121(6): 1263–1271.
[23] Luke B, Brown MB, Stern JE, et al. Using the Society for Assisted Reproductive Technology Clinic Outcome System morphological measures to predict live birth after assisted reproductive technology[J]. Fertil Steril, 2014, 102(5): 1338–1344.
[24] Rozen S. Defending male fertility[J]. Sci Transl Med, 2011, 3(92): 92ps31.
[25] Palermo G, Joris H, Devroey P, et al. Pregnancies after intracytoplasmic injection of single spermatozoon into an oocyte[J]. Lancet, 1992, 340(8810): 17–18.
[26] Baker VL, Luke B, Brown MB, et al. Multivariate analysis of factors affecting probability of pregnancy and live birth with in vitro fertilization: an analysis of the society for assisted reproductive technology clinic outcomes reporting system[J]. Fertil Steril, 2010, 94(4): 1410–1416.
[27] Huang Y, Li JY, Zhang F, et al. Factors affecting the live-birth rate in women with diminished ovarian reserve undergoing IVF-ET[J]. Arch Gynecol Obstet, 2018, 298(5): 1017–1027.
[28] Pandian Z, Marjoribanks J, Ozturk O, et al. Number of embryos for transfer following in vitro fertilisation or intra-cytoplasmic sperm injection[J]. Cochrane Database Syst Rev, 2013, (7): CD003416.
[29] Li HWR, Lee VCY, Lau EYL, et al. Role of baseline antral follicle count and anti-Mullerian hormone in prediction of cumulative live birth in the first in vitro fertilisation cycle: a retrospective cohort analysis[J]. PLoS One, 2013, 8(4): e61095.
[30] Roberts SA, Hirst WM, Brison DR, et al. Embryo and uterine influences on IVF outcomes: an analysis of a UK multi-centre cohort[J]. Hum Reprod, 2010, 25(11): 2792–2802.
[31] Dechanet C, Brunet C, Anahory T, et al. Effects of cigarette smoking on female reproduction: from oocyte to embryo (Part I)[J]. Gynecol Obstet Fertil (in French), 2011, 39(10): 559–566.
[32] Rockliff HE, Lightman SL, Rhidian E, et al. A systematic review of psychosocial factors associated with emotional adjustment in in vitro fertilization patients[J]. Hum Reprod Update, 2014, 20(4): 594–613.
[33] Yang XK, Li Y, Li CD, et al. Current overview of pregnancy complications and live-birth outcome of assisted reproductive technology in mainland China[J]. Fertil Steril, 2014, 101(2): 385–391.e2.