Personalized prediction of first-cycle in vitro fertilization success

Fertility and Sterility

Volumn 99, Issue 7, 2013, Pages 1905-1911

  Choi, Bokyung ^a   Bosch, Ernesto ^b   Lannon, Benjamin M ^c,d,e   Leveille, Marie Claude ^f   Wong, Wing H ^a,g   Leader, Arthur ^f   Pellicer, Antonio ^b   Penzias, Alan S ^c,d,e   Yao, Mylene W M ^a  

^a Univfy ^*  (United States)

^b INSTITUTO VALENCIANO DE INFERTILIDAD   (Spain)

^c BOSTON IVF   (United States)

^d BETH ISRAEL DEACONESS MEDICAL CENTER   (United States)

^e HARVARD MEDICAL SCHOOL   (United States)

^f Ottawa Fertility Centre   (Canada)

^g STANFORD UNIVERSITY   (United States)

Author keywords

infertility; IVF outcomes; IVF prediction; IVF success rate; Personalized medicine

Indexed keywords

ADULT; ARTICLE; CALIBRATION; CONTROLLED STUDY; FEMALE; FERTILIZATION IN VITRO; HUMAN; LIVE BIRTH; MALE; MULTICENTER STUDY; OUTCOME ASSESSMENT; OUTPATIENT; PREDICTION; PRIORITY JOURNAL; PROBABILITY; RETROSPECTIVE STUDY;

BOSTON; CANADA; DECISION SUPPORT TECHNIQUES; FEMALE; FERTILIZATION IN VITRO; HUMANS; INDIVIDUALIZED MEDICINE; LIKELIHOOD FUNCTIONS; LIVE BIRTH; MALE; MODELS, STATISTICAL; ONTARIO; PREDICTIVE VALUE OF TESTS; PREGNANCY; PROBABILITY; REPRODUCIBILITY OF RESULTS; RETROSPECTIVE STUDIES; ROC CURVE; SPAIN; TREATMENT OUTCOME;

EID: 84878517227     PISSN: 00150282     EISSN: 15565653     Source Type: Journal    
DOI: 10.1016/j.fertnstert.2013.02.016     Document Type: Article

References (17)

1. Society for Reproductive Technologies. SART CORS Online. All SART Member Clinics: Clinic Summary Report. Available at: https://www.sartcorsonline.com/ rptCSR-PublicMultYear.aspx?ClinicPKID=0. Accessed February 5, 2013.
2. American Society for Reproductive Medicine. ASRM resources for patients. Available at: http://www.reproductivefacts.org/. Accessd February 5, 2013.
3. L. Bunting, and J. Boivin Development and preliminary validation of the fertility status awareness tool: Fertistat Hum Reprod 25 2010 1722 1733
4. S. Sunderam, D.M. Kissin, L. Flowers, J.E. Anderson, S.G. Folger, and D.J. Jamieson Assisted reproductive technology surveillance - United States, 2009 MMWR Surveill Summ 61 2012 1 23
5. P. Banerjee, B. Choi, L.K. Shahine, S.H. Jun, K. O'Leary, and R.B. Lathi Deep phenotyping to predict live birth outcomes in in vitro fertilization Proc Natl Acad Sci U S A 107 2010 13570 13575
6. B.M. Lannon, B. Choi, M.R. Hacker, L.E. Dodge, B.A. Malizia, and C.B. Barrett Predicting personalized multiple birth risks after in vitro fertilization-double embryo transfer Fertil Steril 98 2012 69 76
7. E. Leushuis, J.W. van der Steeg, P. Steures, P.M. Bossuyt, M.J. Eijkemans, and F. van der Veen Prediction models in reproductive medicine: a critical appraisal Hum Reprod Update 15 2009 537 552
8. J.L. Eaton, M.R. Hacker, D. Harris, K.L. Thornton, and A.S. Penzias Assessment of day-3 morphology and euploidy for individual chromosomes in embryos that develop to the blastocyst stage Fertil Steril 91 2009 2432 2436
9. E. Labarta, E. Bosch, P. Alama, C. Rubio, L. Rodrigo, and A. Pellicer Moderate ovarian stimulation does not increase the incidence of human embryo chromosomal abnormalities in in vitro fertilization cycles J Clin Endocrinol Metab 97 2012 E1987 E1994
10. S.W. Wen, A. Leader, R.R. White, M.C. Leveille, V. Wilkie, and J. Zhou A comprehensive assessment of outcomes in pregnancies conceived by in vitro fertilization/intracytoplasmic sperm injection Eur J Obstet Gynecol Reprod Biol 150 2010 160 165
11. N. Garrido, J. Bellver, J. Remohi, C. Simon, and A. Pellicer Cumulative live-birth rates per total number of embryos needed to reach newborn in consecutive in vitro fertilization (IVF) cycles: a new approach to measuring the likelihood of IVF success Fertil Steril 96 2011 40 46
12. B.A. Malizia, M.R. Hacker, and A.S. Penzias Cumulative live-birth rates after in vitro fertilization N Engl J Med 360 2009 236 243
13. Yao M. Part 1: Complex IVF data and machine learning. In: Fertility chronicles: predicting IVF success 101. October 5, 2012. Available at: https://www.univfy.com/fertilitychronicles/personalizedprognosticsblog. Accessed February 5, 2013.
14. Yao M. Part 2: Rethinking our assumptions in fertility. In: fertility chronicles: predicting IVF success 101. October 12, 2012. Available at: https://www.univfy.com/fertilitychronicles/rethinking-IVF-assumptions. Accessed February 5, 2013.
15. Yao M. Part 3: Applying boosted tree to build IVF prediction models. In: Fertility chronicles: predicting IVF success 101. October 22, 2012. Available at: https://www.univfy.com/fertilitychronicles/Boosted-Tree. Accessed February 5, 2013.
16. Yao M. Part 4: Testing whether an IVF prediction model "works." In: Fertility chronicles: predicting IVF success 101. November 21, 2012. Available at: https://www.univfy.com/fertilitychronicles/Prediction-Modeling. Accessed February 5, 2013.
17. Yao M. Part 5: How accurate is your IVF prediction model? In: Fertility chronicles: predicting IVF success 101. December 13, 2012. Available at: https://www.univfy.com/fertilitychronicles/Accuracy-MY. Accessed February 5, 2013.