Abstract
Purpose
This study attempted at identifying the main parameters influencing the outcome of frozen embryo transfers.
Methods
This is a single-center retrospective cohort study of 830 frozen-embryo-transfer cycles performed at a German university hospital from January 2012 to December 2016. Main outcome parameters were the clinical pregnancy and live birth rate. Twelve patient- and cycle-dependent factors were analyzed in terms of their influence on the outcome of frozen embryo transfers. Multivariate logistic regression analysis was used for the modelling of the dependency of the different parameters on outcomes.
Results
The clinical pregnancy rate in our study was 25.5%, the live birth rate was 16.1% with an average maternal age of 34.2 years at the time of the oocyte retrieval. In the univariate analysis age, number of transferred embryos, blastocyst versus cleavage stage transfer, embryo quality and mode of endometrial preparation affected the birth rate significantly. The birth rate after artificial endometrial preparation was significantly lower than the birth rate after transfers in modified natural cycles (12.8 versus 20.6% with p = 0.031). The multivariate logistic regression analysis showed a significant independent influence of age, number of transferred embryos, culture duration and mode of endometrial preparation on the frozen embryo transfer success rates. Body mass index, nicotine abuse, a history of PCO syndrome or endometriosis and the co-transfer of a second poor-quality embryo to a good-quality embryo appeared to be irrelevant for the outcome in our collective.
Conclusion
Age, number of transferred embryos, embryo culture duration and the mode of endometrial preparation are independent predictive factors of frozen embryo transfer outcomes.
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Age, number of transferred embryos, embryo culture duration and the mode of endometrial preparation are independent predictors of the outcome of frozen embryo transfer cycles. |
Introduction
In Europe, every year approximately 2–6% of all children born were conceived by artificial reproductive techniques [1]. Since the report of the first pregnancy achieved by transfer of a cryopreserved embryo in 1983 [2] frozen–thawed embryo transfer (FET) has become one of the most important techniques of medically assisted reproduction (MAR) [3, 4]. The influencing factors of IVF and ICSI have been studied extensively, but less data are available about key factors for FET. Although there have been investigations of FET in America [5], the Netherlands [6], Australia [7], Finland [8] and China [9], these results cannot be simply transferred to MAR units in Germany where legal restrictions regulate the use of assisted reproductive technologies [10]. Several previous studies have analyzed the effect of single parameters such as age, embryo quality, blastocyst culture, endometrial preparation, or endometrial thickness [11,12,13,14,15,16]. Only few studies examined the interrelation of these numerous influencing factors by multivariate logistic regression analysis [6, 8, 17]. These studies had controversial results.
Using multivariate logistic regression analysis, this study tries to identify the main parameters influencing the outcome of frozen embryo transfers to optimize reproductive treatment in German fertility clinics.
Material and methods
Study design
This is a unicentric retrospective cohort study of all FET cycles performed at the Heidelberg university hospital from January 1, 2012 to December 31, 2016. In this period 830 FET cycles were initiated. Only the first FET cycle of a couple was considered for analysis. Cycles with maternal age older than 42 years, triple embryo transfers and missing pregnancy test results were excluded. Of these FET cycles 122 cycles had to be cancelled before the transfer (due to degeneration of PN cells/embryos or abnormal preimplantation genetic testing findings). Finally, 431 cycles remained for analysis.
The following cycle data were documented: Age (years at the time of the oocyte retrieval and years at the time of the transfer), BMI (kg/m2), nicotine abuse at the time of the oocyte retrieval, previous history of endometriosis and PCO syndrome, number of previous IVF treatments, protocol for endometrial preparation, endometrial thickness (maximum diameter in mm), number of transferred embryos, quality of transferred embryos and embryo culture duration (days). Cycles after January 2017 were not included into the study collective as the embryo culture media was changed at this time.
IVF treatment and cryopreservation protocols
Controlled ovarian stimulation and IVF/ICSI protocols haven been described previously [18]. According to the German Embryo Protection Act a limited number of PN oocytes is allowed to be cultured up to the blastocyst stage. Supernumerary fertilized PN stage oocytes or unintentionally developed blastocysts can be frozen. If more oocytes were fertilized than needed for transfer on day 2 or 3 or for a blastocyst culture, supernumerary PN cells were frozen according to the slow freezing protocol with the K-SICS-5000 Sydney IVF Cryopreservation Kit (Cook Medical, Bloomington, USA) or -from Oct 19 2016 on- with Freeze Kit Cleave (10166, Vitrolife, Sweden) in cryo tubes using a Biofreeze BV-65 (Consarctic, Westerngrund, Germany) and thawed with the K-SITS-5000 Sydney IVF Thawing Kit (Cook Medical, Bloomington, USA) or -from Oct 19 2016 on- Thaw Kit Cleave (10167, Vitrolife, Sweden).
MII oocytes, cleavage stage embryos and blastocysts were cryopreserved by vitrification using Kitazato Vitrification Media (91101 or 91171, Kitazato BioPharma Co, Tokyo, Japan) and the Kitazato Cryotop (open system). Warming was performed using Kitazato Thawing Media (91121 or 91182, Kitazato BioPharma Co, Tokyo, Japan).
The endometrium was prepared either by hormonal substitution (HRT-FET) or in a modified natural cycle (mNC-FET) with spontaneous follicle maturation followed by spontaneous or LH triggered ovulation and low dose luteal support with 200 mg progesterone. Indications for HRT cycles were anovulatory cycles, oligomenorrhea and amenorrhea.
For an intended blastocyst transfer up to 9 PN stage oocytes were thawed in order to culture up to 5 cells (in accordance with the German embryo protection act) or cryopreserved day 4 or 5 embryos were warmed and transferred the same day. In case of cryopreserved day 2 and 3 embryos, these were warmed and transferred on the same day without further culture.
Outcome measures
The primary outcomes were clinical pregnancy and live birth rate. Definition of outcome measures:
Biochemical pregnancy: A serum HCG level of at least 10 IU/l 14 days after ovulation/13 days after start of progesterone in HRT cycles.
Clinical pregnancy: The presence of an intrauterine gestational sac at 6 weeks of gestation in the transvaginal ultrasound.
Live birth: Birth of at least one child after 24 + 0 weeks or with a birth weight of at least 500 g.
Miscarriage: Clinical pregnancies which did not continue to ongoing pregnancies. Twin pregnancies with vanishing of one twin were classified as ongoing pregnancies.
Implantation rate: Number of gestational sacs observed divided by the number of embryos transferred.
Assessment of embryo quality
Embryo quality was determined daily according to the ESHRE Istanbul consensus [19]. For our study embryo quality was assessed at the day of transfer. It was retrospectively classified into 2 groups (1 = good-quality embryos = GQE), 2 = poor-quality embryo = PQE). Good-quality embryos were defined as 2–4-cell and grade A or B on day 2; 5–8-cell and grade A or B on day 3; 9–16-cell and grade A or B, compacting or fully compacted morula on day 4; blastocyst grade ≥ 3BB on day 5. Double embryo transfers were divided into three groups: (a) transfer of two good quality embryos, (b) transfer of a good- and poor-quality embryo and (c) transfer of two poor-quality embryos.
Statistics
Statistical analysis was performed by SAS (SAS Institute, Cary, NC, USA) and SPSS (IBM SPSS Statistic, version 27.0, Armonk, NY, USA) in cooperation with the Institute of Medical Biometry and Informatics Heidelberg. Statistical significance level was set to p = 0.05. Confidence intervals were described as 95% intervals (95% CI). Significant differences between interval scaled parameters were calculated with t tests. Not normally distributed data were analyzed using Mann–Whitney-U test. Chi-Square tests were used for dichotomous traits. For the modelling of the dependency of the pregnancy outcome the multivariate logistic regression analysis was used.
Results
Out of 431 FET 110 cycles led to a clinical pregnancy (clinical pregnancy rate = 25.5%, Table 1). Of these 110 clinical pregnancies 8 were lost to follow-up and 68 gave birth to a child (68/423; birth rate = 16.1%). 12 pregnancies were twin pregnancies (10.9% of the clinical pregnancies; 11 twin pregnancies after DET and 1 after SET), 7 patients gave birth to twins (10.3% of all births). The implantation rate per transferred embryo was 19.5% (Table 2).
Univariate analysis
Patients with clinical pregnancies were significantly younger at the time of the oocyte collection than non-pregnant patients (Table 1, 32.9 vs 34.7 years, p < 0.0001). The clinical pregnancy rate was significantly higher after double embryo transfers compared to single embryo transfers (30.1% after DET vs 20.8% after SET) and after blastocyst culture with transfer on day 4–5 (36.1% after blastocyst culture vs 15.7% after day 2–3 transfer) (Table 1 and Fig. 1a–c).
In cycles with DET the clinical pregnancy rate differed significantly as a function of the quality of the transferred embryos (36.4% after transfer of two good-quality embryos vs 15.4% after two poor-quality embryos). The age-stratified subgroup analysis comparing cycles with single and double embryo transfer showed that in patients younger than 35 years no significant difference of the outcome can be seen. A sonographic endometrial diameter of less than 8 mm led to a lower clinical pregnancy rate (27.3% with EMR of at least 8 mm vs 18.2% with EMR < 8 mm) but reached only in the subgroup of women younger than 35 years statistical significance. Here, an endometrial diameter of less than 8 mm correlated negatively with the clinical pregnancy rate (35.1% vs 16.7%, Table 1). In our collective, the lowest endometrial diameter with a live birth as outcome measured 6 mm. In the subgroup analysis of patients ≥ 35 years, FET in modified natural cycles led to significant higher clinical pregnancy rates in comparison to HRT cycles (30.0% versus 13.7%, Table 1, Fig. 2).
The effects of maternal age at the time of the oocyte retrieval, the number of transferred embryos, the mode of endometrial preparation and the culture duration were also reflected in the birth rates after FET. In cycles with blastocyst culture the co-transfer of a second embryo of poor quality to one good quality embryo did not improve the pregnancy or birth rate compared to a SET with a good quality embryo only (Table 1).
No significant difference for the BMI, nicotine abuse, a former diagnosis of endometriosis or PCO and the number of prior embryo transfers (fresh or frozen) was detected between successful FETs and FETs without clinical pregnancy or birth.
Multivariate regression analysis
In the multivariate logistic regression analysis, the maternal age at the time of the oocyte retrieval, the number of transferred embryos and the culture duration had significant effects both on the clinical pregnancy rate and the birth rate (Tables 3 and 4; Fig. 3a, b). The birth rate was additionally affected by the mode of the endometrial preparation as already seen in the univariate analysis. The time of embryo transfer was the factor with the highest impact on the FET success.
Discussion
Our data clearly show that younger age, double embryo transfer, blastocyst culture, good embryo quality and in older patients additionally endometrial preparation with modified natural cycle (compared to HRT cycle) are positive prognostic factors for ART success. To our knowledge, this is the most comprehensive multivariate regression analysis of prognostic factors of FET cycles published so far.
With an average clinical pregnancy rate of 25.5% the success rate of our FET collective is comparable to the German cPR per transfer of 25.4% in 2016 [20] and slightly lower than the European average pregnancy rate after FET (cPR 29.2% in 2015 [21]) during the same time. In the European comparison the difference is fully explainable by the strict German embryo protection act: In Germany it is prohibited by law to culture more embryos than needed for transfer. The number of cultured embryos must be assessed based on the patient´s age and/or results of previous IVF cycles.
As expected, our patients with a clinical pregnancy after FET were significantly younger at the time of the oocyte retrieval than patients without successful FET. In the multivariate regression analysis, age at the time of the oocyte retrieval is one of the independent factors that affect the pregnancy and birth rate. This finding is consistent with the current literature for fresh transfers as well as for frozen embryo transfers [11, 12] and is explained by the lower oocyte quality and higher aneuploidy rate in older patients.
As in fresh ART cycles, the success rates of FET depend on the number of transferred embryos. In our collective, double embryo transfers in FET cycles resulted in higher clinical pregnancy rates and birth rates compared to FET of a single embryo. In the multivariate regression analysis, the number of transferred embryos was confirmed as an independent influencer of the clinical pregnancy and birth rate, confirming the results of a former study by Veleva [8].
A FET after blastocyst culture is associated with significantly higher clinical pregnancy and birth rates compared to the transfer of cleavage stage embryos, both in the whole collective and in the age-stratified subgroups (Fig. 1), comparable to the results of a Chinese study of He et al. [22]. A limiting factor was the use of two different freezing protocols: Slow freezing was used for PN oocytes and vitrification for MII oocytes and embryos. According the revised ESHRE guidelines for good practice in IVF laboratories [23] vitrification is recommended for MII oocytes, cleavage embryos and blastocysts, but for PN stages good results can also be obtained using slow freezing methods.
In our collective patients with FET in a modified natural cycle had significantly higher birth rates compared to patients with full hormone replacement as endometrial preparation (Table 4). The superiority of transfers in modified spontaneous cycles to HRT cycles in terms of the life birth rate has also been shown in a Finish retrospective non-randomized cohort study of 1972 FET [8] and a multicentric French study [24]. Other studies found no correlation between the mode of endometrial preparation and the FET success [14, 25,26,27], including the prospective randomized-controlled non-inferiority ANTARCTICA trial from the Netherland [25] and a Cochrane analysis [28]. The main limitation of our analysis with respect to the endometrial preparation is the retrospective non-randomized study design: Patients with chronic anovulation, oligomenorrhea and PCOS were regularly allocated to the artificial cycle FET group. An age-related bias was minimized by stratification into two age-subgroups. But a selection bias due to a higher comorbidity in the older artificial cycle-FET group cannot be ruled out without further investigation of the patient records. At least, the BMI did not differ between the group of mNC and HRT as endometrial preparation (23.7 ± 4.2 in both groups). However these findings should be taken into account in the clinical setting, as a large number of studies have shown an increased risk of preeclampsia, hypertensive disorders and birth complication after HRT-FETs compared to natural cycles, modified natural cycles and low dose FSH-stimulation in recent years [29,30,31,32]. The underlying cause seems to be the missing corpus luteum in HRT cycles with missing production of vasoactive substances.
Many studies did not show a correlation of the endometrial diameter with the pregnancy rate in FET [16, 25, 33]. Others found a dependency in their collectives [9, 13, 34, 35]. In our collective, a sonographic endometrial diameter of at least 8 mm in patients younger than 35 years is associated with higher implantation rates compared to a diameter of 7 mm or lower (Table 1). The rate of double embryo transfers and blastocyst culture was comparable between both younger-aged subgroups (44% DET in EMR < 8 mm versus 47% in EMR ≥ 8 mm; 52.8% blastocyst culture in EMR < 8 mm versus 50.0% in EMR ≥ 8 mm).
In order to analyze the influence of an additional poor-quality embryo we compared DET of a good-quality and a poor-quality embryo with a SET of a good-quality embryo after blastocyst culture. While no benefit from performing a DET over a SET in this constellation could be found, -conversely- the addition of a poor-quality embryo to a good-quality embryo did neither have an adverse effect on the clinical pregnancy rate nor on the birth rate over a SET with a good-quality embryo only.
The number of previous transfers, diagnosis of a PCOS, nicotine abuse at the time of the oocyte retrieval and a history of endometriosis did not affect the outcome in our collective; however, the number of affected women within these groups was low. In contrast to the studies of Veleva [8], we could not see any correlation of the FET outcome with the BMI, both in the univariate and the multivariate analysis. This might be explained by the fact that we regularly exclude patients with severe obesity (BMI > 35) from the ART program due to the obesity-associated pregnancy and birth risks. As in fresh ART cycles, an influence of the BMI on the FET success is biologically plausible and may be substance for further investigations.
Conclusion
In conclusion, we found a significant and independent influence of maternal age, blastocyst culture, number of transferred embryos and the mode of endometrial preparation on the outcome of cryo-embryo-transfers. Together with the recent data about adverse pregnancy outcomes after programmed FET cycles, our analysis contributes to the decision to clearly favor natural FET cycles whenever possible.
Data availability statement
The dataset generated for this study are available on request to the corresponding author.
Abbreviations
- BMI:
-
Body mass index
- BR:
-
Birth rate
- cPR:
-
Clinical pregnancy rate
- DET:
-
Double embryo transfer
- FET:
-
Frozen embryo transfer
- GQE:
-
Good-quality embryo
- hCG:
-
Human chorionic gonadotropin
- HRT:
-
Hormone replacement therapy, hormonal substitution
- ICSI:
-
Intracytoplasmic sperm injection
- IVF:
-
In-vitro fertilization
- LFU:
-
Lost for follow-up
- LGA:
-
Large for gestational age
- MAR:
-
Medically assisted reproduction
- mNC:
-
Modified natural cycle
- ns:
-
Non-significant
- PQE:
-
Poor-quality embryo
- sdv:
-
Standard deviation
- SET:
-
Single embryo transfer
- 95% CI:
-
95% Confidence interval
References
Berntsen S, Soderstrom-Anttila V, Wennerholm UB, Laivuori H, Loft A, Oldereid NB et al (2019) The health of children conceived by ART: “the chicken or the egg?” Hum Reprod Update 25(2):137–158
Trounson A, Mohr L (1983) Human pregnancy following cryopreservation, thawing and transfer of an eight-cell embryo. Nature 305(5936):707–709
Dyer S, Chambers GM, de Mouzon J, Nygren KG, Zegers-Hochschild F, Mansour R et al (2016) International committee for monitoring assisted reproductive technologies world report: assisted reproductive technology 2008, 2009 and 2010. Hum Reprod 31(7):1588–1609
Wong KM, Mastenbroek S, Repping S (2014) Cryopreservation of human embryos and its contribution to in vitro fertilization success rates. Fertil Steril 102(1):19–26
Crawford S, Boulet SL, Kawwass JF, Jamieson DJ, Kissin DM (2017) Cryopreserved oocyte versus fresh oocyte assisted reproductive technology cycles, United States, 2013. Fertil Steril 107(1):110–118
Groenewoud ER, Cohlen BJ, Al-Oraiby A, Brinkhuis EA, Broekmans FJM, de Bruin JP et al (2018) The influence of endometrial thickness on pregnancy rates in modified natural cycle frozen-thawed embryo transfer. Acta Obstet Gynecol Scand 97:808–815
Sullivan EA, Wang YA, Hayward I, Chambers GM, Illingworth P, McBain J et al (2012) Single embryo transfer reduces the risk of perinatal mortality, a population study. Hum Reprod 27(12):3609–3615
Veleva Z, Orava M, Nuojua-Huttunen S, Tapanainen JS, Martikainen H (2013) Factors affecting the outcome of frozen-thawed embryo transfer. Hum Reprod 28(9):2425–2431
Yang W, Zhang T, Li Z, Ren X, Huang B, Zhu G et al (2018) Combined analysis of endometrial thickness and pattern in predicting clinical outcomes of frozen embryo transfer cycles with morphological good-quality blastocyst: A retrospective cohort study. Medicine (Baltimore) 97(2):e9577
ESchG (1990) Gesetz zum Schutz von Embryonen (Embryonenschutzgesetz–EschG). Berlin Bundesgesetzblatt. 8:2746
Bdolah Y, Zemet R, Aizenman E, Lossos F, Abram TB, Shufaro Y (2015) Frozen-thawed embryo transfer success rate is affected by age and ovarian response at oocyte aspiration regardless of blastomere survival rate. JBRA Assist Reprod 19(4):210–215
Eftekhar M, Rahmani E, Pourmasumi S (2014) Evaluation of clinical factors influencing pregnancy rate in frozen embryo transfer. Iran J Reprod Med 12(7):513–518
El-Toukhy T, Coomarasamy A, Khairy M, Sunkara K, Seed P, Khalaf Y et al (2008) The relationship between endometrial thickness and outcome of medicated frozen embryo replacement cycles. Fertil Steril 89(4):832–839
Hancke K, More S, Kreienberg R, Weiss JM (2012) Patients undergoing frozen-thawed embryo transfer have similar live birth rates in spontaneous and artificial cycles. J Assist Reprod Genet 29(5):403–407
Veeck LL (1993) Freezing of preembryos: early vs late stages. J Assist Reprod Genet 10(3):181–185
Check JH, Dietterich C, Graziano V, Lurie D, Choe JK (2004) Effect of maximal endometrial thickness on outcome after frozen embryo transfer. Fertil Steril 81(5):1399–1400
Takahashi T, Hasegawa A, Igarashi H, Amita M, Matsukawa J, Takehara I et al (2017) Prognostic factors for patients undergoing vitrified-warmed human embryo transfer cycles: a retrospective cohort study. Hum Fertil (Camb) 20(2):140–146
Holschbach V, Weigert J, Dietrich JE, Roesner S, Montag M, Strowitzki T et al (2017) Pregnancy rates of day 4 and day 5 embryos after culture in an integrated time-lapse incubator. Reprod Biol Endocrinol 15(1):37
Alpha Scientists in Reproductive M Embryology ESIGo (2011) The Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting. Hum Reprod. 26(6):1270–83
Blumenauer VC, Fehr U, Fiedler D, Gnoth K, Krüssel C, Kupka JS, Ott MS, Tandler-Schneider A (2017) A. D.i.R-Annual 2016 - The German IVF Registry. J Reproduktionsmed Endokrinol. 14(5):272–305
De Geyter C, Calhaz-Jorge C, Kupka MS, Wyns C, Mocanu E, Motrenko T et al (2020) ART in Europe, 2015: results generated from European registries by ESHRE. Hum Reprod Open. 2020(1):hoz038
He QH, Wang L, Liang LL, Zhang HL, Zhang CL, Li HS et al (2016) Clinical outcomes of frozen-thawed single blastocyst transfer in patients requiring whole embryo freezing. Syst Biol Reprod Med 62(2):133–138
EGGoGPiI L, De los Santos MJ, Apter S, Coticchio G, Debrock S, Lundin K et al (2016) Revised guidelines for good practice in IVF laboratories (2015). Hum Reprod 31(4):685–686
Vinsonneau L, Labrosse J, Porcu-Buisson G, Chevalier N, Galey J, Ahdad N et al (2022) Impact of endometrial preparation on early pregnancy loss and live birth rate after frozen embryo transfer: a large multicenter cohort study (14 421 frozen cycles. Hum Reprod Open. 2022(2):hoac007
Groenewoud ER, Cohlen BJ, Al-Oraiby A, Brinkhuis EA, Broekmans FJ, de Bruin JP et al (2016) A randomized controlled, non-inferiority trial of modified natural versus artificial cycle for cryo-thawed embryo transfer. Hum Reprod 31(7):1483–1492
Gelbaya TA, Nardo LG, Hunter HR, Fitzgerald CT, Horne G, Pease EE et al (2006) Cryopreserved-thawed embryo transfer in natural or down-regulated hormonally controlled cycles: a retrospective study. Fertil Steril 85(3):603–609
Agha-Hosseini M, Hashemi L, Aleyasin A, Ghasemi M, Sarvi F, Shabani Nashtaei M et al (2018) Natural cycle versus artificial cycle in frozen-thawed embryo transfer: a randomized prospective trial. Turk J Obstet Gynecol 15(1):12–17
Ghobara T, Gelbaya TA, Ayeleke RO (2017) Cycle regimens for frozen-thawed embryo transfer. Cochrane Database Syst Rev 7:CD003414
Ginstrom Ernstad E, Wennerholm UB, Khatibi A, Petzold M, Bergh C (2019) Neonatal and maternal outcome after frozen embryo transfer: Increased risks in programmed cycles. Am J Obstet Gynecol 221(2):126e1-e18
Saito K, Kuwahara A, Ishikawa T, Morisaki N, Miyado M, Miyado K et al (2019) Endometrial preparation methods for frozen-thawed embryo transfer are associated with altered risks of hypertensive disorders of pregnancy, placenta accreta, and gestational diabetes mellitus. Hum Reprod 34(8):1567–1575
Wang Z, Liu H, Song H, Li X, Jiang J, Sheng Y et al (2020) Increased risk of pre-eclampsia after frozen-thawed embryo transfer in programming cycles. Front Med (Lausanne) 7:104
Asserhoj LL, Spangmose AL, Aaris Henningsen AK, Clausen TD, Ziebe S, Jensen RB et al (2021) Adverse obstetric and perinatal outcomes in 1,136 singleton pregnancies conceived after programmed frozen embryo transfer (FET) compared with natural cycle FET. Fertil Steril 115(4):947–956
Gingold JA, Lee JA, Rodriguez-Purata J, Whitehouse MC, Sandler B, Grunfeld L et al (2015) Endometrial pattern, but not endometrial thickness, affects implantation rates in euploid embryo transfers. Fertil Steril 104(3):620–8 e5
Bu Z, Wang K, Dai W, Sun Y (2016) Endometrial thickness significantly affects clinical pregnancy and live birth rates in frozen-thawed embryo transfer cycles. Gynecol Endocrinol 32(7):524–528
Shi W, Zhang S, Zhao W, Xia X, Wang M, Wang H et al (2013) Factors related to clinical pregnancy after vitrified-warmed embryo transfer: a retrospective and multivariate logistic regression analysis of 2313 transfer cycles. Hum Reprod 28(7):1768–1775
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We thank all our patients without whom this work would have been impossible.
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VH: study conception and design, data analysis, manuscript writing. HK: study conception and design, clinical data collection, data analysis, manuscript editing. JED: other (IVF lab procedures and IVF data collection), manuscript editing. TB: study conception and design, data analysis. TS: manuscript editing. AG: study conception and design, data analysis, manuscript editing. All authors read and approved the final manuscript.
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The study was approved by the ethics committee of the University of Heidelberg (S649/2016).
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Holschbach, V., Kordes, H., Dietrich, J.E. et al. Patient- and cycle-specific factors affecting the outcome of frozen–thawed embryo transfers. Arch Gynecol Obstet 307, 2001–2010 (2023). https://doi.org/10.1007/s00404-023-07019-3
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DOI: https://doi.org/10.1007/s00404-023-07019-3