Literature DB >> 34532372

Comparison of in vitro maturation and in vitro fertilization for polycystic ovary syndrome patients: a systematic review and meta-analysis.

Yalan Xu1,2,3,4,5, Jie Qiao1,2,3,4,5.   

Abstract

BACKGROUND: There are two common treatments for polycystic ovary syndrome (PCOS): in vitro fertilization (IVF) and in vitro maturation (IVM). Our study aimed to assess the clinical effects and safety of IVM versus IVF for PCOS.
METHODS: We searched randomized controlled trials and retrospective cohort studies comparing IVM versus IVF for PCOS. Data were extracted from eligible studies. We sought to evaluate fertilization rate, clinical pregnancy rate, live birth rate, and miscarriage. Results were expressed as risk ratio (RR) with 95% confidence intervals (CIs).
RESULTS: Eight studies with a total of 1,579 patients were included in the present study. According to the heterogeneity analysis, there were no differences between the IVM group and IVF group in terms of fertilization rate, clinical pregnancy rate and miscarriage. Additionally, the IVF group had a higher live birth rate than the IVM group (overall P=0.0007). Sensitivity analysis and funnel plot showed that our study was robust and based on the funnel plot this article had low publication bias. DISCUSSION: The findings of the present study indicated that IVM had similar clinical effects compared with IVF in patients with PCOS. However, IVM might be a suitable option for PCOS in terms of cost and successful pregnancy rate. 2021 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  In vitro maturation (IVM); in vitro fertilization (IVF); meta-analysis; polycystic ovary syndrome (PCOS)

Year:  2021        PMID: 34532372      PMCID: PMC8421970          DOI: 10.21037/atm-21-3037

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


Introduction

In vitro fertilization (IVF) is used for the treatment of infertility. During IVF, eggs that have developed to near ovulation are removed from the ovary and placed in a culture medium to fertilize them (1,2). Fertilized eggs that have grown to a certain degree are placed into the uterus. However, ovarian hyperstimulation syndrome (OHSS) may occur, especially in patients with polycystic ovary syndrome (PCOS) (3). A potentially helpful alternative for women with PCOS is to remove mature oocytes from small antral follicles early, without hormone stimulation, and then perform in vitro maturation (IVM) of oocytes (4). IVM in patients with PCOS can eliminate the risk of OHSS and the cost, but when compared with IVF, the success rate of IVM is lower (5). PCOS is the most common endocrine abnormality in women of childbearing age, affecting 6.6–8% of women in this age group. It is the leading cause of anovulatory infertility, and is characterized by chronic anovulation, hyperandrogenemia, and polycystic ovarian disease (6,7). PCOS is a complex heterogeneous disorder of uncertain etiology and the diagnosis of PCOS is based on the onset of puberty, abnormal menstruation and ovulation, hirsutism, increased serum luteinizing hormone (LH) and LH/follicle-stimulating hormone (FSH) ratio, combined with high androgen level, polycystic ovary signs in ultrasound examination, and exclusion of other similar diseases (7). Women with PCOS have a significantly increased risk of OHSS. In assisted conception, OHSS is an iatrogenic complication of ovulation induction and ovarian stimulation cycles (8). In severe cases, it may be life threatening (9). It is characterized by enlarged ovarian cysts and rapid transfer of fluid from the vascular cavity to the third space (10). IVM was first used in 1991 for successful pregnancies and the delivery of live babies. Since then, several variants of IVM have been successfully used as alternatives to IVF in different patient groups, with varying success rates, but they have not been widely accepted (11,12). IVM is an option-assisted reproductive technology. In IVM, small follicles with a diameter of 2–10 mm are removed without prior administration of human chorionic gonadotropin and then mature in vitro (13). Compared with IVF, this method has several advantages, including no (or minimal) controlled ovarian stimulation, improved convenience, and lower monitoring burden (14). IVM is a successful and widely used assisted reproductive technology in advanced livestock breeding. IVM includes the extraction of immature oocytes in the foaming stage and in vitro culturing of entire cumulus-oocyte complexes until metaphase II, then routine IVF or intracytoplasmic injection (15). In the present study, meta-analysis was used to combine the results of different research, and several evaluation outcomes were compared with intervention methods to provide a choice for PCOS patients. In this study, we compared two treatment for PCOS in several aspects from the start fertilization to the end live birth, and included several recent published articles to further analyze the effects of IVM. We present the following article in accordance with the PRISMA reporting checklist (available at https://dx.doi.org/10.21037/atm-21-3037).

Methods

Literature search

From January 2000 to March 2021, we carried out a systematic search on databases, including PubMed, Embase, Cochrane Library, and China National Knowledge Infrastructure, using the following keywords: in vitro maturation or IVM, in vitro fertilization or IVF, and polycystic ovary syndrome or PCOS. The search term was combined using the Boolean operator “and”. The language of publication did not restrict the literature search. We manually searched the reference lists of the retrieved articles to find any relevant research that the search strategy might have missed.

Inclusion and exclusion criteria

We included terms that met the following inclusion criteria: (I) PCOS patients; (II) the experimental group was treated with IVM and the control group was treated with IVF; (III) indicators to evaluate the effectiveness and safety of the IVM group and the IVF group; and (IV) full-text articles. We excluded research for the following reasons: (I) the research did not meet the inclusion criteria; (II) unreported or unavailable results of interest; and (III) reviews, abstracts, and repeated publications.

Literature screening and data extraction

After screening the titles and abstracts of possible eligible studies, two reviewers independently read the full text and extracted relevant data, including the first author’s name, study design, sample size, patients’ age, and sex, year of onset, study duration, and the main result. The methodological quality of the included studies was assessed using the Cochrane risk-of-bias assessment tool.

Statistical methods

Meta-analysis was performed using Review Manager 5.4 (Cochrane). P<0.05 or I2>50% indicated that there was a certain degree of heterogeneity between the studies, and the random-effects model was used for analysis. P≥0.05 and I2≤50% indicated that there was no heterogeneity between the lessons or the heterogeneity was small, and the fixed-effects model for analysis. Risk ratio (RR) was used to analyze binary variables, mean difference (MD) and 95% confidence interval (CI) were used to analyze continuous variables, and U-test was used to test hypotheses. Sensitivity analysis was performed by excluding individual studies.

Results

Literature search results

We identified 865 studies following our electronic search. Following abstract reading and analysis, 816 articles were excluded because they did not meet the study’s inclusion criteria. Of these, 49 articles were further excluded because of different study designs or insufficient data available. Finally, eight papers met the selection criteria and were included in the meta-analysis (16-23). The search process and full inclusion/exclusion criteria are shown in .
Figure 1

Flowchart of inclusion.

Flowchart of inclusion.

Characteristics of the selected literature

The characteristics of the eight studies included in our meta-analysis are shown in . The published years were from 2011 to 2020. The studies included 1,579 patients (753 patients receiving IVM and 826 patients receiving IVF). The primary outcomes were fertilization rate, clinical pregnancy rate, live birth, and miscarriage.
Table 1

Characteristics of studies included in the meta-analysis

StudyYearLanguageCountryGroupsBMIAge (years)N (oocytes)Years of study
Das et al.2014EnglishCanadaIVM24.5±3.230.8±0.31022006–2011
IVF25.5±4.231.7±0.560
Gulekli et al.2011EnglishTurkeyIVM24.8±3.530.3±3.523March 2007–December 2009
IVF24.3±3.129.9±3.323
Li et al.2021EnglishChinaIVM23.8±3.129.8±2.915November 2018–September 2019
IVF23.2±4.229.0±2.214
Shalom-Paz et al.2012EnglishCanadaIVM23.9±3.332.9±4.11082005–2009
IVF23.2±3.233.5±4.7108
Shavit et al.2014EnglishIsraelIVM31.9±6.231.8±4.961January 2010–December 2011
IVF28±6.830.9±4.653
Vuong et al.2020EnglishAustraliaIVM22.2±3.029.9±3.4273January 2018–April 2019
IVF22.1±3.529.6±3.6273
Walls et al.2015EnglishAustraliaIVM22.5±3.331.9±2.456March 2007–December 2012
IVF23±4.332.6±2.165
Yu et al.2019EnglishKoreaIVM24.3±3.332.6±3115January 1999–December 2015
IVF24.8±3.533±2.9230

BMI, body mass index; IVF, in vitro fertilization; IVM, in vitro maturation.

BMI, body mass index; IVF, in vitro fertilization; IVM, in vitro maturation.

Methodological quality of the selected studies

According to the Cochrane risk-of-bias assessment tool, we assessed the methodological quality of the included studies for risk of bias. We found high selection bias and other biases in three different studies (). A summary of the risk-of-bias assessment of the eight included studies is shown in .
Figure 2

Assessment of the quality of the included studies: low risk of bias (green), unclear risk of bias (yellow), and high risk of bias (red).

Figure 3

Quality assessment of included studies.

Assessment of the quality of the included studies: low risk of bias (green), unclear risk of bias (yellow), and high risk of bias (red). Quality assessment of included studies.

Meta-analysis results

Heterogeneity analysis of fertilization rate between IVM and IVF

To analyze the difference in fertilization rate between the IVM and the IVF groups, we performed a meta-analysis to calculate the RR using the fixed-effect model based on heterogeneity analysis. The overall RR was 0.93 with 95% CI: 0.86–1.00. The P value of overall effect was 0.07 and I2=48%, which demonstrated that there was no significant difference in fertilization rate between the IVM and IVF groups ().
Figure 4

Forest plots of fertilization rate between IVM and IVF. IVM, in vitro maturation; IVF, in vitro fertilization; CI, confidence interval.

Forest plots of fertilization rate between IVM and IVF. IVM, in vitro maturation; IVF, in vitro fertilization; CI, confidence interval.

Heterogeneity analysis of clinical pregnancy rate between IVM and IVF

Similarly, a meta-analysis for the difference in clinical pregnancy rate between IVM and IVF groups was conducted. The result showed that there was no significant difference in the clinical pregnancy rate among the two groups (RR =0.90, 95% CI: 0.79–1.01, P=0.08, fixed-effects model), while clinical pregnancy rate among the included studies showed low homogeneous (P=0.19, I2=31%) ().
Figure 5

Forest plots of clinical pregnancy rate between IVM and IVF. IVM, in vitro maturation; IVF, in vitro fertilization; CI, confidence interval.

Forest plots of clinical pregnancy rate between IVM and IVF. IVM, in vitro maturation; IVF, in vitro fertilization; CI, confidence interval.

Heterogeneity analysis of live birth rate between IVM and IVF

For live birth rate, seven studies with 1,234 patients were selected. Meta-analysis showed that, compared with the IVM group, the IVF group had a higher live birth rate (MD =0.82, 95% CI: 0.70–0.94, P=0.007, fixed-effects model), with significant heterogeneity (I2=26%) ().
Figure 6

Forest plots of live birth rate between IVM and IVF. IVM, in vitro maturation; IVF, in vitro fertilization; CI, confidence interval.

Forest plots of live birth rate between IVM and IVF. IVM, in vitro maturation; IVF, in vitro fertilization; CI, confidence interval.

Heterogeneity analysis of miscarriage between IVM and IVF

A fixed-effects model was used to evaluate the heterogeneity of miscarriage, as insignificant heterogeneity was found among the included studies (P=0.40, I2=0%). The results showed that there was no difference between the IVM and IVF groups in the evaluation of miscarriage (MD =1.27 with 95% CI: 0.93–1.74, P=0.14) ().
Figure 7

Forest plots of miscarriage between IVM and IVF. IVM, in vitro maturation; IVF, in vitro fertilization; CI, confidence interval.

Forest plots of miscarriage between IVM and IVF. IVM, in vitro maturation; IVF, in vitro fertilization; CI, confidence interval.

Results of sensitivity analysis and publication bias

A total of eight studies reported fertilization rate. The forest plot showed no significant difference between the IVM and IVF groups (RR =0.93 with 95% CI: 0.86–1.00), while the P value of overall effect was 0.07 and I2=48% (). We performed a sensitivity analysis by removing Shavit et al.’s 2014 study, and I2 changed from 48% to 39%, which indicated that the results of included articles were robust ().
Figure 8

Sensitivity analysis forest plots of fertilization rate between IVM and IVF. IVM, in vitro maturation; IVF, in vitro fertilization; CI, confidence interval.

Sensitivity analysis forest plots of fertilization rate between IVM and IVF. IVM, in vitro maturation; IVF, in vitro fertilization; CI, confidence interval. We performed a funnel plot to evaluate the publication bias for recovery rate qualitatively (). The showed that the shape was symmetric. The P value of the Egger test was 0.519, which indicated that no significant publication bias existed in this meta-analysis.
Figure 9

Funnel plot: Each circle represents one included article. If the figure symmetry is good, the publication bias is small.

Funnel plot: Each circle represents one included article. If the figure symmetry is good, the publication bias is small.

Discussion

Difference between IVM and IVF among PCOS patients

In the present study, eight studies met the inclusion criteria to evaluate the difference between IVM and IVF. A meta-analysis of these studies showed that there were differences in the live birth rate, and the IVM group had a lower live birth rate than the IVF group. When comparing the fertilization rate, clinical pregnancy rate, and miscarriage, there was no difference between the IVM and IVF groups. These results were consistent with Alm’s research that the maturity obtained using IVM stimulation program was lower than the standard IVF cycle during ovariectomy. The cytoplasmic immaturation might cause the live birth rate to be significantly lower than that of the standard IVF group (24).

IVM is a suitable method for treating PCOS compared with IVF

When gonadotropin stimulation was ineffective for women undergoing IVF, this was a challenge for reproductive doctors. Several studies have explored dropouts, including poor prognosis and economic or physiological burden (25,26). A new study found that emotional distress and poor prognosis were the main reasons for IVF withdrawal. There are currently different methods to help patients undergoing IVF, including changing the ovarian stimulation program, natural cycle IVF, or oocyte donation (27). IVM of immature oocytes extracted from unstimulated ovaries is a relatively new assisted reproductive technology that has shown promising results in women with polycystic ovaries (28,29). Although the classic indication for IVM is PCOS, it is also suitable for other symptoms, including inadequate response, preservation of fertility in cancer patients, regular responders with a history of poor oocyte/embryo quality, and oocyte donation. The cryopreservation of immature oocytes is the most important method for fertilization (30,31). In terms of IVM safety, some researchers believe that, compared with mature oocytes in vivo, oocytes matured in vitro have the characteristics of multiple cells and molecular defects, which lead to lower development potential of IVM oocytes (32,33). Compared with conventional IVF, IVM involves several additional steps, including isolation, processing, and oocyte culture (34). Compared with mature oocytes in vivo, these steps might exert environmental pressure on oocytes. The spindle change is also related to prolonged maturation time in vitro, making the cells susceptible to aneuploidy or maturation arrest (35). Finally, it was reported that IVM could cause permanent changes in the expression of imprinted genes. DNA methylation played a vital role in regulating embryo growth and establishing genomic imprinting. Incomplete methylation in maternal during in vitro culture might lead to severe consequences, such as Beckwith-Wiedemann syndrome, Angelman syndrome, and Silver-Russell syndrome (36). Some previous studies have shown that epigenetic abnormalities are more likely to occur following IVM (37). It was also reported that, compared with the standard IVF group, the IVM group had a lower maturity rate and a lower average fertilization rate; however, the difference in the average number of oocytes collected or matured per patient was not statistically significant (38). The main goal of the IVM cycle is to enable oocytes to complete meiosis during the mature culture process, and obtained the nucleus and cytoplasm. After that, it can achieve fertilization, embryonic development, and ultimately healthy live birth (39).

Limitations

The present study has some limitations. First, the efficacy indicators were not comprehensive, but results pertaining to length of hospitalization, complications, mortality, safety indicators, and other indicators were lacking. Second, different studies had different follow-up times, affecting the final results.

Conclusions

IVM is essential for treating PCOS, but there is no significant difference in clinical efficacy compared with IVF. Due to the limitations in the number and quality of the research, our finding needs to be confirmed by a large-sample, multicenter, follow-up controlled trial. The article’s supplementary files as
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