Journal of Assisted Reproduction and Genetics

, Volume 30, Issue 11, pp 1445–1450 | Cite as

Live birth rates and birth outcomes by diagnosis using linked cycles from the SART CORS database

  • Judy E. SternEmail author
  • Morton B. Brown
  • Ethan Wantman
  • Suleena Kansal Kalra
  • Barbara Luke
Assisted Reproduction Technologies



This study uses linked cycles of assisted reproductive technology (ART) to examine cumulative live birth rates, birthweight, and length of gestation by diagnostic category.


We studied 145,660 women with 235,985 ART cycles reported to the Society for Assisted Reproductive Technology Clinic Outcomes Reporting System during 2004–2010. ART cycles were linked to individual women by name, date of birth, social security number, partner’s name, and sequence of ART treatments. The study population included the first four autologous oocyte cycles for women with a single diagnosis of male factor, endometriosis, ovulation disorders, diminished ovarian reserve, or unexplained infertility. Live birth rates were calculated per cycle, per cycle number (1–4), and cumulatively. Birthweight and length of gestation were calculated for singleton births.


Within each diagnosis, live birth rates were highest in the first cycle and declined with successive cycles. Women with diminished ovarian reserve had the lowest live birth rate (cumulative rate of 28.3 %); the live birth rate for the other diagnoses were very similar (cumulative rates from 62.1 % to 65.7 %). Singleton birthweights and lengths of gestation did not differ substantially across diagnoses, ranging from 3,112 to 3,286 g and 265 to 270 days, respectively. These outcomes were comparable with national averages for singleton births in the United States (3,296 g and 271 days).


Women with the diagnosis of diminished ovarian reserve had substantially lower live birth rates. However, singleton birthweights and lengths of gestation outcomes were similar across all other diagnoses.


Diagnosis Assisted reproductive technology Linked cycles SART CORS Birthweight Gestational age 



SART wishes to thank all of its members for providing clinical information to the SART CORS database for use by patients and researchers. Without the efforts of our members, this research would not have been possible.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Judy E. Stern
    • 1
    Email author
  • Morton B. Brown
    • 2
  • Ethan Wantman
    • 3
  • Suleena Kansal Kalra
    • 4
  • Barbara Luke
    • 5
  1. 1.Obstetrics and GynecologyGeisel School of Medicine at DartmouthLebanonUSA
  2. 2.BiostatisticsSchool of Public Health, University of MichiganAnn ArborUSA
  3. 3.Redshift Technologies, IncNew YorkUSA
  4. 4.Division of Reproductive Endocrinology & InfertilityHospital of University of PennsylvaniaPhiladelphiaUSA
  5. 5.Obstetrics, Gynecology and Reproductive BiologyMichigan State UniversityEast LansingUSA

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