Probability of live birth after IVF/ICSI treatments in female early onset cancer survivors: a Finnish population-based registry study

2021 ◽  
Author(s):  
J Melin ◽  
A Tiitinen ◽  
E Hirvonen ◽  
N Malila ◽  
J Pitkäniemi ◽  
...  

Abstract STUDY QUESTION Does the probability of a live birth after fresh IVF/ICSI cycles with autologous oocytes differ in early onset female cancer survivors compared to their siblings? SUMMARY ANSWER The probability of a live birth was similar in female cancer survivors and siblings after four fresh IVF/ICSI cycles. WHAT IS KNOWN ALREADY Fertility preservation strategies are rapidly being developed to help female cancer patients who wish to have children later. However, there are only a few studies available on fertility treatments and following live births in female cancer survivors before fertility preservation strategies became available. In one of them, the probability of a live birth was reduced after assisted reproductive technology with autologous oocytes in cancer survivors compared to siblings. STUDY DESIGN, SIZE, DURATION In this retrospective, register-based study, data from Finnish registers on cancer, birth and prescribed medications were merged to identify 8944 female cancer survivors (diagnosed with cancer between 1953 and 2012 at the age of 0–40 years) and 9848 female siblings of survivors eligible for IVF/ICSI treatments between January 1993 and December 2012. PARTICIPANTS/MATERIALS, SETTING, METHODS Fresh IVF/ICSI cycles and following live birth rates (LBRs) within 22–48 weeks in cancer survivors and siblings at the age of 20–41 years were identified. A binomial regression model with log-link function was used to calculate risk ratio (RR) for live births after fresh IVF/ICSI cycles in survivors compared to siblings, adjusting for attained age and calendar time. A Poisson regression model was used to estimate incidence rate ratios (IRRs) for an IVF/ICSI treatment, as well as overall live births, including both pregnancies after fertility treatments and spontaneous pregnancies, in survivors compared to siblings. MAIN RESULTS AND THE ROLE OF CHANCE We observed an overall decreased LBR, irrespective of IVF/ICSI treatments, in cancer survivors compared to siblings (IRR 0.68, 95% CI 0.64–0.71). All in all, 179 (2.0%) survivors and 230 (2.3%) siblings were prescribed fertility drugs for IVF/ICSI treatments (IRR 0.72, 95% CI 0.62–0.84). For the first fresh IVF/ICSI cycle, the LBR was 17.2% among survivors and 15.7% among siblings (RR 1.13, 95% CI 0.72–1.87). The mean LBR after four fresh IVF/ICSI cycles was not statistically different in survivors compared to siblings. LIMITATIONS, REASONS FOR CAUTION In this study, only IVF/ICSI treatments with autologous oocytes were included. The probability of a live birth after a frozen embryo transfer or oocyte donation could not be evaluated in this study. Information on miscarriages, extrauterine pregnancies or termination of pregnancies was not available. WIDER IMPLICATIONS OF THE FINDINGS For those early onset cancer survivors, who received IVF/ICSI treatments, the probability of live birth was not different from siblings who received IVF/ICSI treatments. However, an overall decreased LBR, irrespective of IVF/ICSI treatments, was observed in cancer survivors compared to siblings, indicating that cancer survivors receiving IVF/ICSI treatments in our study consisted of a selected group with at least a moderate ovarian reserve. STUDY FUNDING/COMPETING INTEREST(S) This study was supported by a grant from the Cancer Foundation (Finland) (grant number 130079) and by a grant from LähiTapiola. The authors have no potential conflicts of interest. TRIAL REGISTRATION NUMBER N/A.

Cancer ◽  
2016 ◽  
Vol 122 (13) ◽  
pp. 2101-2109 ◽  
Author(s):  
Catherine Benedict ◽  
Bridgette Thom ◽  
Danielle N. Friedman ◽  
Debbie Diotallevi ◽  
Elaine M. Pottenger ◽  
...  

2017 ◽  
Vol 56 (8) ◽  
pp. 1089-1093 ◽  
Author(s):  
Johanna Melin ◽  
Laura Madanat-Harjuoja ◽  
Sirpa Heinävaara ◽  
Nea Malila ◽  
Mika Gissler ◽  
...  

2008 ◽  
Vol 14 (11) ◽  
pp. 1182-1184 ◽  
Author(s):  
Mats Brännström ◽  
Milan Milenkovic

2021 ◽  
Vol 2 (2) ◽  
pp. C9-C21
Author(s):  
Jack Wilkinson ◽  
Katie Stocking

Health interventions should be tested before being introduced into clinical practice, to find out whether they work and whether they are harmful. However, research studies will only provide reliable answers to these questions if they are appropriately designed and analysed. But these are not trivial tasks. We review some methodological challenges that arise when evaluating fertility interventions and explain the implications for a non-statistical audience. These include flexibility in outcomes and analyses; use of surrogate outcomes instead of live birth; use of inappropriate denominators; evaluating cumulative outcomes and time to live birth; allowing each patient or couple to contribute to a research study more than once. We highlight recurring errors and present solutions. We conclude by highlighting the importance of collaboration between clinical and methodological experts, as well as people with experience of subfertility, for realising high-quality research. Lay summary We do research to find out whether fertility treatments are beneficial and to make sure they don’t cause harm. However, research will only provide reliable answers if it is done properly. It is not unusual for researchers to make mistakes when they are designing research studies and analysing the data that we get from them. In this review, we describe some of the mistakes people make when they do research about fertility treatments and explain how to avoid them. These include challenges which arise due to the large number of things that can be measured and reported when looking to see if fertility treatments work; failure to check whether the treatment increases the number of live births; failing to include all study participants in calculations;challenges in studies where participants may have more than one treatment attempt. We conclude by highlighting the importance of collaboration between clinical and methodological experts, as well as people with experience of fertility problems.


2020 ◽  
Author(s):  
Piotr S. Gromski ◽  
Andrew D.A.C Smith ◽  
Deborah A Lawlor ◽  
Fady I. Sharara ◽  
Scott M Nelson

AbstractBackgroundThe economic and reproductive medicine response to the COVID-19 pandemic in the United States has reduced the affordability and accessibility of fertility care. We sought to determine the impact of the 2008 financial recession and the COVID-19 recession on fertility treatments and cumulative live-births.MethodsWe examined annual US natality, CDC IVF cycle activity and live birth data from 1999 to 2018 encompassing 3,286,349 treatment cycles, to estimate the age-stratified reduction in IVF cycles undertaken after the 2008 financial recession, with forward quantitative modelling of IVF cycle activity and cumulative live-births for 2020 to 2023.ResultsThe financial recession of 2008 caused a four-year plateau in fertility treatments with a predicted 53,026 (95% CI 49,581 to 56,471) fewer IVF cycles and 16,872 (95% CI 16,713 to 17,031) fewer live births. A similar scale of economic recession would cause 67,386 (95% CI: 61,686 to 73,086) fewer IVF cycles between 2020 and 2023, with women younger than 35 years overall undertaking 22,504 (95% CI 14,320 to 30,690) fewer cycles, as compared to 4,445 (95% CI 3,144 to 5749) fewer cycles in women over the age of 40 years. This equates to overall 25,143 (95% CI: 22,408 to 27,877) fewer predicted live-births from IVF, of which only 490 (95% CI 381 to 601) are anticipated to occur in women over the age of 40 years.ConclusionsThe COVID-19 recession could have a profound impact on US IVF live-birth rates in young women, further aggravating pre-existing declines in total fertility rates.Trial registration numbernot applicable


Cancer ◽  
2016 ◽  
Vol 123 (4) ◽  
pp. 707-708
Author(s):  
Ernesto Zanet ◽  
Rosanna Ciancia ◽  
Mariagrazia Michieli ◽  
Umberto Tirelli

Cancer ◽  
2016 ◽  
Vol 123 (4) ◽  
pp. 708-709
Author(s):  
Catherine Benedict ◽  
Bridgette Thom ◽  
Danielle N. Friedman ◽  
Debbie Diotallevi ◽  
Elaine M. Pottenger ◽  
...  

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