PMID- 34978170
OWN - NLM
STAT- MEDLINE
DCOM- 20220809
LR  - 20220914
IS  - 1518-0557 (Electronic)
IS  - 1517-5693 (Print)
IS  - 1517-5693 (Linking)
VI  - 26
IP  - 3
DP  - 2022 Aug 4
TI  - The Correlation Between Gross Domestic Product Per Capita and the Success Rate of 
      Assisted Reproductive Technologies Worldwide.
PG  - 398-406
LID - 10.5935/1518-0557.20210078 [doi]
AB  - OBJECTIVE: Although there has been increased utilization of assisted reproductive 
      technologies (ART) in the world, there is no conclusive definition about the 
      relationship between the success rate of ART and national wealth. METHODS: In 
      this study, using the data from the International Committee for Monitoring 
      Assisted Reproductive Technologies (ICMART), we sought to determine whether there 
      is a correlation between the success rate of ART (represented by pregnancy and 
      delivery rates) and national wealth represented by the gross domestic product 
      (GDP) per capita. Moreover, to further understand the effect of GDP per capita on 
      ART effectiveness, we analyzed the association between ART success rate and GDP 
      per capita in 50 US states. RESULTS: Our data showed that the number of ART 
      treatment cycles increased as the GDP per capita increased. However, we found a 
      negative correlation between ART success rates and GDP per capita in ICMART 
      countries, although no correlation was seen in the US states. Using rough 
      estimation, we derived that the success rate of ART was not related to GDP per 
      capita in the ICMART countries with a GDP per capita greater than USD 13,000. 
      CONCLUSIONS: In conclusion, for the first time, we showed that when the GDP per 
      capita of an economic territory reaches (or exceeds) USD 13,000, ART pregnancy 
      and delivery rates were not associated with GDP per capita, and ART success rates 
      remained stable.
FAU - Dong, Jie
AU  - Dong J
AD  - Reproductive Medical Center, Department of Obstetrics and Gynecology, Tangdu 
      Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China.
FAU - Yan, Song
AU  - Yan S
AD  - Reproductive Medical Center, Department of Obstetrics and Gynecology, Tangdu 
      Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China.
FAU - Qian, Chenxi
AU  - Qian C
AD  - Reproductive Medical Center, Department of Obstetrics and Gynecology, Tangdu 
      Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China.
FAU - Wang, Xiaohong
AU  - Wang X
AD  - Reproductive Medical Center, Department of Obstetrics and Gynecology, Tangdu 
      Hospital, Air Force Medical University, Xi'an, Shaanxi Province, China.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20220804
PL  - Brazil
TA  - JBRA Assist Reprod
JT  - JBRA assisted reproduction
JID - 101684552
SB  - IM
MH  - Female
MH  - *Gross Domestic Product/statistics & numerical data
MH  - Humans
MH  - Pregnancy
MH  - *Reproductive Techniques, Assisted/statistics & numerical data
PMC - PMC9355443
OTO - NOTNLM
OT  - GDP
OT  - assisted reproductive technologies
OT  - delivery rate
OT  - pregnancy rate
COIS- CONFLICT OF INTEREST The authors have no conflict of interest to declare.
EDAT- 2022/01/04 06:00
MHDA- 2022/08/10 06:00
PMCR- 2022/07/01
CRDT- 2022/01/03 06:49
PHST- 2022/01/04 06:00 [pubmed]
PHST- 2022/08/10 06:00 [medline]
PHST- 2022/01/03 06:49 [entrez]
PHST- 2022/07/01 00:00 [pmc-release]
AID - 10.5935/1518-0557.20210078 [doi]
PST - epublish
SO  - JBRA Assist Reprod. 2022 Aug 4;26(3):398-406. doi: 10.5935/1518-0557.20210078.