Abstract

Background: Studies on the effect of intracytoplasmic injection of hyaluronan-bound spermatozoa (HA-ICSI) on infertility are insufficient, and its use in treating patients remains controversial. Therefore, we aimed to determine the effectiveness of HA-ICSI in couples with infertility. Methods: A systematic literature review and meta-analysis were conducted to explore the effect of HA-ICSI on couples with infertility. All studies were examined using relative risks (RR) with 95% confidence intervals (95% CI). Results: A total of 1174 publications were retrieved, of which 16 (10 randomized controlled trials (RCTs), five cohort trials, and one publication, including an RCT and a cohort trial) were considered eligible for inclusion. Meta-analysis of the cohort studies indicated a significant advantage for HA-ICSI in terms of live birth rate (LBR), clinical pregnancy rate (CPR), biochemical pregnancy rate (BPR), implantation rate (IR), fertilization rate (FR), and good-quality embryo rate. No difference in spontaneous abortion rate (SAR) or cleavage rate between the HA-ICSI and conventional intracytoplasmic sperm injection (ICSI) groups was observed. Based on the pooled results of all available studies and RCTs, SAR was significantly reduced in the HA-ICSI group than in the conventional ICSI group. The benefits of CPR, IR, and FR were recognized in the pooled results of all available studies; however, RCT analysis did not demonstrate these benefits. Conclusions: The cohort studies indicated a significant advantage of HA-ICSI in terms of LBR, CPR, BPR, IR, FR, and good-quality embryo rates. In RCTs, HA-ICSI significantly reduced the SAR compared to conventional ICSI. Further RCTs with larger sample sizes are required to confirm the beneficial effects of HA-ICSI.

1. Introduction

Intracytoplasmic sperm injection (ICSI) improves fertilization rate (FR) in couples with male factor infertility. ICSI is a significant achievement in assisted reproductive technology (ART) and has become probably the most important therapy for male infertility in recent years. Globally, ICSI use is increasing, mainly because of increased ICSI use in cycles carried out for non-male factors, such as frozen oocytes, in vitro maturation of human immature oocytes, preimplantation genetic testing, and infertility with previous fertilization failure. ICSI use has been observed in 70–80% of fresh cycles, with increasing applications encountered [1]. ICSI is considered the most “revolutionary” in vitro insemination technique since an embryologist artificially selects a single spermatozoon for injection, which can fertilize an oocyte notwithstanding its morphology or motility. Additionally, some natural fertilization processes, such as sperm-cumulus interaction, sperm-zone penetration, and acrosome reaction, are circumvented in the ICSI process [2]. During conventional ICSI, sperm are selected based on motility and morphology, which may not reflect sperm quality. Theoretically, the prominent use of ICSI may increase the possibility of injecting spermatozoa that are defective in centrosome integrity, genetic constitution, phospholipase C zeta content, or DNA methylation [3, 4, 5]. Embryo quality is influenced by the quality of gametes, oocytes, and spermatozoa. Natural barriers to fertilization are circumvented in ICSI; therefore, embryo quality is affected. Therefore, ICSI treatments may be optimized by selecting the ideal spermatozoa before injection. However, the shapes of individual spermatozoa do not indicate chromatin integrity and chromosomal aberrations. Visual shape assessment, which selects the best-looking sperm during ICSI, is unreliable and may result in abnormal chromosomes in subsequent developmental stages [6, 7]. Concerns regarding the potential adverse effects of ICSI on subsequent fertilization, embryo development, and offspring health owing to deviations from natural selection exist. Therefore, a practical test for selecting healthy sperm for ICSI is required.

Polyvinylpyrrolidone (PVP) is used in conventional ICSI to reduce sperm velocity and facilitate the smooth injection of oocytes. However, PVP causes submicroscopic changes in sperm structure and damages sperm membrane integrity and sperm nucleus [8, 9]. Moreover, human oocytes are unable to degrade PVP, subsequently affecting pregnancy rates [10, 11, 12].

Recently, several sperm-selection techniques have been developed. These techniques are categorized into methods based on sperm density, morphology, motility, membrane integrity, surface charge, and nuclear integrity. However, these techniques have not demonstrated enhanced clinical outcomes that would support routine clinical application despite their ability to improve sample quality.

Hyaluronan (hyaluronic acid, HA) is a linear anionic polysaccharide containing N-acetyl-D-glucosamine and D-glucuronic acid bound with β-1,3 and β-1,4 glycosidic bonds [13]. This macromolecule is a constituent of the cumulus cell matrix in human oocytes. HA is a physiological selector, and only mature spermatozoa with low chromosomal aneuploidy and low fragmentation can bind to it [14]. The head region of mature spermatozoa contains HA receptors that facilitate passage through the extracellular matrix to the oocyte [15]. Sperms without HA receptors may be deselected, resulting in a lower possibility of reaching oocytes. Immature sperms lacking HA-binding sites are also associated with an increased frequency of chromosomal aberrations [14]. However, sperm without HA receptors can be selected and injected into oocytes during conventional ICSI. Sperm morphology is not associated with the selection of haploid spermatozoa [16]; however, the frequency of chromosomal diploidy in HA-selected spermatozoa is reduced by 4- to 6-fold compared to that in semen sperm [17]. This selection process is expected to facilitate the selection of a single mature spermatozoon with desirable morphological characteristics and without cytoplasmic retention, persistent histones, chromosomal aneuploidy, or DNA fragmentation [17, 18].

Theoretically, the selection of HA-bound sperm for ICSI facilitates fertilization and produces high-quality embryos, leading to better clinical outcomes. Studies on intracytoplasmic injection of hyaluronan-bound spermatozoa (HA-ICSI) are insufficient, and the application of HA-ICSI to treat infertility remains controversial, although it has been used for over a decade. HA-ICSI includes HA-coated dishes (PICSI dishes) and HA-containing media (SpermSlowTM and SpermCatchTM). Several studies have documented the practical benefits of HA-ICSI in terms of fertilization, embryo quality, and pregnancy outcomes [19, 20, 21, 22]. However, some studies have challenged the application of HA-ICSI [23, 24]. Therefore, we performed a meta-analysis and systematic review to evaluate the effectiveness of HA-ICSI in couples with infertility.

2. Materials and Methods
2.1 Literature Search and Study Selection

This systematic review and meta-analysis was previously registered with PROSPERO (CRD42024540998) and followed PRISMA guidelines. A comprehensive PubMed, Embase, and Cochrane search was performed to identify studies aimed at comparing the clinical outcomes of HA-ICSI with those of conventional ICSI in couples with infertility. The search was restricted to papers fully published in English on 13 October, 2023, using the following keywords: (“sperm” or “spermatozoa” or “spermatozoon” or “IVF” or “in vitro fertilization” or “ICSI” or “intracytoplasmic sperm injection”) and (“hyaluronic acid” or “hyaluronan”). Our study’s title and abstract were used to screen all items retrieved from the primary search. Irrelevant items were removed, and the articles of potential interest were further investigated for citations that met the inclusion criteria. We also manually reviewed the bibliographies of original and reviewed articles.

2.2 Eligibility Criteria

All studies investigating the effect of HA-ICSI met the following inclusion criteria: (1) randomized controlled trials (RCTs) or cohort trials, (2) had outcomes, such as live birth rate (LBR), clinical pregnancy rate (CPR), spontaneous abortion rate (SAR), biochemical pregnancy rate (BPR), implantation rate (IR), fertilization rate (FR), cleavage rate, and good-quality embryo rate, and (3) published in English.

Exclusion criteria were as follows: (1) no original data for retrieval, (2) duplicate publications, (3) no full texts, and (4) review articles, case reports, or comments from editors. Two authors independently identified relevant studies, and any discrepancies were discussed.

2.3 Data Extraction and Quality Assessment

Two authors independently extracted data from each included article. The extracted data included the first author’s name, year of publication, country, study design and period, HA-binding methods, control group, number of cycles or patients in the HA and control groups, and inclusion and exclusion criteria. Disagreements between the two authors were resolved through discussion. A third reviewer’s input was required for unresolved disagreements.

The Cochrane Collaboration tool was used to evaluate the methods of random allocation, the presence and quality of allocation concealment and blinding, and the existence of incomplete outcome data and selective outcome reporting for all included RCTs [25]. The Newcastle–Ottawa Scale (NOS) was used to evaluate the quality of individual cohort studies. The NOS uses a star system with a maximum of nine stars to assess a study in three domains: selection of study groups, comparability of groups, and ascertainment of interest outcome. We determined studies that received a score of nine stars to be of a low risk of bias. Studies scoring seven or eight stars were of a moderate risk of bias, and those scoring six were classified as high risk. Quality assessment was performed independently by two authors, and disagreements were resolved through discussion.

2.4 Statistical Analysis

The effect of HA-ICSI was examined using relative risk (RR) with 95% confidence intervals (95% CI). The Q (significance level of p < 0.1) and I2 statistics were used to determine the statistical heterogeneity between studies. Absence of, moderate, high, and extreme heterogeneities were indicated by I2 <25%, 25% I2 < 50%, 50% I2 < 75%, and I2 75%, respectively. The random-effects model (DerSimonian and Laird method) was employed if the p-value of the Q test was <0.1; otherwise, the fixed-effects model (Mantel–Haenszel method) was used. When 10 studies were included in a single analysis, Begg’s funnel plot and Egger’s linear regression were used to assess the possibility of publication bias. A subgroup analysis was performed based on the type of study design (RCTs versus cohort studies) to explore potential sources of heterogeneity. When three or more studies were included in an analysis, a sensitivity analysis was performed by excluding one study from each round and evaluating each study’s influence on the overall effect size. Data were analyzed using the STATA software (StataCorp, College Station, TX, USA). Statistical significance was set at p < 0.05.

3. Results
3.1 Literature Search

A total of 1174 results were obtained from the PubMed, Embase, and Cochrane databases and other sources. A total of 1122 articles were excluded after reading the titles and abstracts. Two authors read the full texts of the 52 articles, and 16 articles were finally analyzed (Fig. 1).

Fig. 1.

Flowchart of the selection of studies for inclusion in this meta-analysis. RCTs, randomized controlled trials.

3.2 Characteristics of Included Studies

A total of 16 publications (10 RCTs, five cohort studies, and one publication, including an RCT and a cohort trial) met the inclusion criteria and were analyzed in our study [19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]. Table 1 (Ref. [19, 20, 21, 22, 23, 24, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]) summarizes the characteristics of the included studies.

Table 1.Characteristics of the studies included in the systematic review.
Author, Year of publication Country Study design/period Hyaluronic acid binding methods Control group Number of cycles/patients in HA-ICSI group Number of cycles/patients in control group Inclusion criteria Exclusion criteria
Scaruffi P, et al. 2022 [19] Italy Cohort/not mentioned Sperm Slow Polyvinylpyrrolidone (PVP)-ICSI 104 cycles 101 cycles In 2010–2020, patients had a failed ICSI cycle which had a low fertilization rate and poor embryo quality. Only fresh oocytes and ejaculated sperm. Egg or sperm donors.
Novoselsky Persky M, et al. 2021 [20] Israel RCT/January 2017 to April 2020 PICSI PVP-ICSI 45 cycles 45 cycles Patients had a failed cycle with poor fertilization, poor embryo quality, repeated implantation failure, or repeated pregnancy loss. Cycles in which only a single method was used.
Rezaei M, et al. 2021 [21] Iran Cohort/August 2016 to Jun 2020 PICSI PVP-ICSI 16 cycles 18 cycles Sperm count <39 × 106/mL, normal morphology <4%, and concentration <15 × 106/mL. Patients with normozoospermia, seminal infection, asthenozoospermia, testicular sperm, systemic diseases or a history of cryptorchidism.
Kim SJ, et al. 2020 [22] Korea Cohort/From January 2016 to December 2018 Sperm Slow Standard ICSI 77 patients 75 patients Sperm morphology with <1%. Not mentioned.
Liu Y, et al. 2019 [26] Australia RCT/between July 2014 and March 2015 Sperm Slow PVP-ICSI 21 cycles 21 cycles Patients allowed to use of the EmbryoscopeTM; motile sperm count 1 × 106/mL on the day of oocyte collection; metaphase II (MII) oocytes 4. Motile sperm count <1 × 106/mL on the day of oocyte collection.
Miller D, et al. 2019 [23] UK RCT/from February 1, 2014 to August 31, 2016 PICSI Standard ICSI 1381 patients 1371 patients Women were 18–43 years old; women’s BMI was 19–35 kg/m2; a FSH concentration was 3–20 mIU/mL or, an AMH concentration 1.5 pmol/L. Men were 18–55 years old; abstinence for at least 3 days. Donor or frozen gametes or undergoing split IVF–ICSI. Men had a vasovasostomy or were treated for cancer in the 24 months before recruitment.
Erberelli RF, et al. 2017 [27] Brazil Cohort/July 2013 to July 2014 PICSI PVP-ICSI 19 cycles 37 cycles Moderate to severe male factor. Percutaneous epididymal sperm aspiration (PESA), testicular sperm aspiration (TESA) or micro TESA.
Troya J and Zorrilla I 2015 [24] Peru RCT/From January 2013 to July 2014 Sperm Slow PVP-ICSI 47 patients 55 patients Infertile patients having normal sperm concentration in according to WHO 2010 criterion. Endometriosis.
Majumdar G and Majumdar A 2013 [28] India RCT/January to November 2012 PICSI PVP-ICSI 71 patients 80 patients Unexplained infertile patients with normal semen parameters in according to WHO 2010 criterion for first cycle. Age >38; presence of uterine anomalies, hydrosalpinx, or morderate and severe endometriosis; oocytes 3.
Worrilow KC, et al. 2013 [29] USA RCT/2-year period PICSI standard ICSI 237 patients 245 patients Patients received ICSI treatment. Patients using testicular sperm, donor or cryopreserved gametes; patients receiving preimplantation genetic diagnosis, sperm sorting, or a partial ICSI. Women was >40 years old; MII oocytes at retrieval <4; hyaluronan-bound score <2%; motile sperm count <10,000/mL.
Choe SA, et al. 2012 [30] Korea RCT/between July and December 2011 Sperm Slow PVP-ICSI 18 patients 112 patients Women were 30–42 years old; serum FSH level on menstrual day 3 20 IU/L; total sperm number >2.0 × 106/mL and strict morphology >4% according to WHO 2010 criteria; women were free of significant uterine pathology. The fertilization rate of previous IVF cycle was <20% and/or a history of multiple IVF failures. Only fresh ICSI cycles were included in the analyses. Women were <30 or >42 years old; serum FSH level on menstrual day 3 >20 IU/L; oocytes at retrieval <4; total sperm number <2.0 × 106/mL and strict morphology 4% according to WHO 2010 criteria.
Parmegiani L, et al. 2010 [31] Italy Cohort/January 2005 to January 2009 Sperm Slow PVP-ICSI 293 patients 86 patients Women were 39 years old; motile sperm count 1 × 106 and sperm motility 5%. Not mentioned.
Parmegiani L, et al. 2010 [32] Italy RCT/March 2004 to December 2005 Sperm Slow PVP-ICSI 125 cycles 107 cycles Ejaculate motile sperm count >106 and sperm motility >5%. Not mentioned.
Van Den Bergh MJ, et al. 2009 [33] Switzerland RCT, cohort/not mentioned Sperm Slow RCT: HA unbound sperm; Cohort: PVP-ICSI RCT: 44 patients; Cohort: not mentioned 44 patients Not mentioned Woman was <38 years old; MII oocytes at retrieval 4. Patients with frozen–thawed ejaculated sperm, fresh or frozen–thawed epidydymal, or testicular sperm; non-progressive spermatozoa.
Ciray HN, et al. 2008 [34] Turkey RCT/March 2007 PICSI HA unbound sperm 10 cycles 10 cycles First cycle with 12 MII oocytes and a sperm concentration of 5 × 106/mL. Not mentioned.
Balaban B, et al. 2003 [35] Sweden RCT/not mentioned Sperm CatchTM PVP-ICSI 48 patients 44 patients Patients with male factor infertility. Not mentioned.

HA-ICSI, hyaluronan-bound spermatozoa; ICSI, intracytoplasmic sperm injection; RCT, randomized controlled trials; PICSI, HA-coated; BMI, body mass index; FSH, follicle-stimulating hormone; AMH, anti-mullerian hormone; IVF, in vitro fertilization; WHO, World Health Organization.

A total of 4, 2, 5, and 10 RCTs were at low risk for random sequence generation and allocation concealment, blinding of outcome assessment, outcome completion, and outcome selective reporting, respectively. None of the trials had a low risk of blinding the participants or other biases. Table 2 (Ref. [20, 23, 24, 26, 28, 29, 30, 32, 33, 34, 35]) presents the details of the risk of bias assessment. Furthermore, of the six cohort trials, four studies had a moderate risk of bias, and two had a high risk of bias (Table 3, Ref. [19, 21, 22, 27, 31, 33]).

Table 2.Risk of bias assessment for RCTs.
References Random sequence generation Allocation concealment Blinding of participants Blinding of outcome assessment Outcome complete Outcome selective reporting Other bias
Novoselsky Persky M, et al. 2021 [20] Unclear Unclear High risk Unclear High risk Low risk Unclear
Liu Y, et al. 2019 [26] Unclear Unclear High risk Unclear High risk Low risk Unclear
Miller D, et al. 2019 [23] Low risk Low risk High risk Low risk Low risk Low risk Unclear
Troya J and Zorrilla I 2015 [24] Unclear Low risk High risk Low risk High risk Low risk Unclear
Majumdar G and Majumdar A 2013 [28] Low risk Unclear High risk Unclear High risk Low risk Unclear
Worrilow KC, et al. 2013 [29] Low risk Low risk High risk Unclear High risk High risk High risk
Choe SA, et al. 2012 [30] Low risk Unclear High risk Unclear Low risk Low risk Unclear
Parmegiani L, et al. 2010 [32] Unclear Low risk High risk Unclear High risk Low risk High risk
Van Den Bergh MJ, et al. 2009 [33] Unclear Unclear High risk Unclear Low risk Low risk Unclear
Ciray HN, et al. 2008 [34] Unclear Unclear High risk Unclear Low risk Low risk Unclear
Balaban B, et al. 2003 [35] Unclear Unclear High risk Unclear Low risk Low risk Unclear
Table 3.Risk of bias assessment for cohort studies.
Study Selection Comparability Outcome Summary score
Scaruffi P, et al. 2022 [19] ✩✩✩ ✩✩✩ 7
Rezaei M, et al. 2021 [21] ✩✩✩ / ✩✩✩ 6
Kim SJ, et al. 2020 [22] ✩✩✩ ✩✩✩ 7
Erberelli RF, et al. 2017 [27] ✩✩✩ ✩✩✩ 7
Parmegiani L, et al. 2010 [31] ✩✩✩ ✩✩ ✩✩✩ 8
Van Den Bergh MJ, et al. 2009 [33] ✩✩✩ / ✩✩✩ 6

A star system with a maximum of nine stars was used to assess a study in three domains.

3.3 Meta-Analysis Results
3.3.1 Meta-Analysis of Live Birth Rate

We evaluated the LBR between the HA-ICSI and conventional ICSI groups in six studies (five RCTs and one cohort study). The statistical analysis performed using the random effects model revealed no significant difference in the LBR between the two groups (RR = 1.25, 95% CI: 0.94–1.65); however, a high heterogeneity was observed (I2 = 49.3%). A subgroup analysis was performed based on the included study designs. The pooled outcomes from the five RCTs also showed no significant difference (RR = 1.09, 95% CI: 0.98–1.21). Additionally, no heterogeneity between the two groups was observed (I2 = 0%). However, a significantly higher LBR was observed in the HA-ICSI group than in the conventional ICSI group from the single cohort study (RR = 3.20, 95% CI: 1.59–6.42). The pooled LBR results did not vary with the removal of any study from the overall included studies or RCTs (Supplementary Material), demonstrating no differences in LBR between the two groups.

3.3.2 Meta-Analysis of Clinical Pregnancy Rate

A total of eight RCTs and four cohort studies reported the CPR between the HA-ICSI and conventional ICSI groups. The pooled results suggested that CPR was significantly higher in the HA-ICSI group than in the conventional ICSI group (RR = 1.21, 95% CI: 1.01–1.43), with a high heterogeneity observed (I2 = 53.5%). However, the pooled outcomes from the eight RCTs showed no significant difference (RR = 1.00, 95% CI: 0.92–1.09), and no significant heterogeneity between the two groups was observed (I2 = 0%). The pooled outcomes from the four cohort studies revealed a significantly higher CPR in the HA-ICSI group than in the conventional ICSI group (RR = 1.86, 95% CI: 1.40–2.48), with no heterogeneity observed (I2 = 0%). In contrast to the pooled overall results, removing the studies by Scaruffi P, et al. [19], Rezaei M, et al. [21], Erberelli RF, et al. [27], Parmegiani L, et al. [31], or Troya J and Zorrilla I [24] led to a different sensitivity analysis result (Supplementary Material), demonstrating no difference in CPR between the two groups. However, for the RCTs, the pooled CPR results did not vary with the removal of any study (Supplementary Material), demonstrating no differences in CPR between the two groups. For the cohort studies, the pooled CPR results did not vary with the removal of any study; however, a significantly higher CPR was observed in the HA-ICSI group than in the conventional ICSI group.

3.3.3 Meta-Analysis of Spontaneous Abortion Rate

A total of six RCTs and three cohort studies that provided SAR data were included in our meta-analysis. A significantly lower SAR was observed in the HA-ICSI group than in the conventional ICSI group (RR = 0.65, 95% CI: 0.50–0.84), with no heterogeneity observed (I2 = 0%). The pooled outcomes from the six RCTs also showed a significantly lower SAR in the HA-ICSI group than in the conventional ICSI group (RR = 0.63, 95% CI: 0.48–0.85), with no heterogeneity observed (I2 = 0%). However, no significant difference was observed between the two groups from the three cohort studies (RR = 0.72, 95% CI: 0.39–1.36); however, a moderate heterogeneity was observed (I2 = 38.7%). In contrast to previous pooled overall studies and RCTs’ results, removing the study conducted by Miller, et al. [23] led to a different sensitivity analysis result (Supplementary Material), demonstrating no difference in SAR between the two groups. For the cohort studies, the pooled SAR results did not vary with the removal of any study (Supplementary Material), demonstrating no differences in SAR between the two groups.

3.3.4 Meta-Analysis of Biochemical Pregnancy Rate

We compared the BPR between the HA-ICSI and conventional ICSI groups in seven studies (five RCTs and two cohort studies). The meta-analysis revealed no significant difference between the two groups (RR = 1.16, 95% CI: 0.93–1.46); however, a moderate heterogeneity was observed (I2 = 48.8%). The pooled outcomes from the five RCTs also showed no significant difference between the two groups (RR = 1.00, 95% CI: 0.92–1.10), and no heterogeneity between the two groups was observed (I2 = 0%). The pooled outcomes from the two cohort studies revealed a significantly higher BPR in the HA-ICSI group than in the conventional ICSI group (RR = 1.94, 95% CI: 1.30–2.91), with no heterogeneity observed (I2 = 0%). The pooled BPR results did not vary with the removal of any study from the overall studies or RCTs (Supplementary Material), demonstrating no differences in BPR between the two groups.

3.3.5 Meta-Analysis of Implantation Rate

Pooled results from three RCTs and two cohort studies indicated a significantly higher IR in the HA-ICSI group than in the conventional ICSI group (RR = 1.43, 95% CI: 1.01–2.04), with high heterogeneity observed (I2 = 64.6%). The meta-analysis of the three RCTs revealed no difference in IR between the HA-ICSI and conventional ICSI groups (RR = 1.11, 95% CI: 0.86–1.45), and no heterogeneity was observed (I2 = 0%). The pooled outcomes from the two cohort studies revealed a significantly higher IR in the HA-ICSI group than in the conventional ICSI group (RR = 2.03, 95% CI: 1.45–2.83), with high heterogeneity observed (I2 = 61.7%) (Table 4). In contrast to previous pooled overall results, removing the studies by Scaruffi P, et al. [19], Majumdar G and Majumdar A [28], Parmegiani L, et al. [31], or Parmegiani L, et al. [32] led to a different sensitivity analysis result (Supplementary Material), demonstrating no differences in IR between the two groups. However, for RCTs, the pooled IR results did not vary with the removal of any study (Supplementary Material), demonstrating no differences in IR between the two groups.

Table 4.Meta-analysis results.
No. of studies RR (95% CI) Test of heterogeneity
p value I2 (%)
Live birth rate
all 6 1.25 (0.94, 1.65) 0.080 49.3
RCT 5 1.09 (0.98, 1.21) 0.950 0.0
cohort study 1 3.20 (1.59, 6.42) - -
Clinical pregnancy rate
all 12 1.21 (1.01, 1.43) 0.010 53.5
RCT 8 1.00 (0.92, 1.09) 0.890 0.0
cohort study 4 1.86 (1.40, 2.48) 0.470 0.0
Spontaneous abortion rate
all 9 0.65 (0.50, 0.84) 0.820 0.0
RCT 6 0.63 (0.48, 0.85) 0.950 0.0
cohort study 3 0.72 (0.39, 1.36) 0.200 38.7
Biochemical pregnancy rate
all 7 1.16 (0.93, 1.46) 0.070 48.8
RCT 5 1.00 (0.92, 1.10) 0.750 0.0
cohort study 2 1.94 (1.30, 2.91) 0.380 0.0
Implantation rate
all 5 1.43 (1.01, 2.04) 0.020 64.6
RCT 3 1.11 (0.86, 1.45) 0.730 0.0
cohort study 2 2.03 (1.45, 2.83) 0.110 61.7
Fertilization rate
all 11 1.05 (1.00, 1.09) 0.001 65.8
RCT 7 1.02 (0.97, 1.07) 0.090 45.0
cohort study 4 1.10 (1.06, 1.14) 0.100 51.8
Cleavage rate
all 6 0.97 (0.94, 0.99) 0.002 74.3
RCT 3 0.98 (0.94, 1.03) 0.060 64.2
cohort study 3 0.96 (0.92, 1.01) 0.010 78.5
Good-quality embryo rate
all 7 1.19 (0.97, 1.46) <0.001 83.8
RCT 5 1.04 (0.90, 1.21) 0.080 51.9
cohort study 2 1.56 (1.36, 1.79) 0.930 0.0

RR, relative risk; 95% CI, 95% confidence interval.

3.3.6 Meta-Analysis of Fertilization Rate

A total of seven RCTs and four cohort studies provided FR data and were included in the meta-analysis. The overall results showed a significantly higher FR in the HA-ICSI group than in the conventional ICSI group (RR = 1.05, 95% CI: 1.003–1.09), with high heterogeneity observed (I2 = 65.8%). The pooled results from the seven RCTs revealed no difference in FR between the HA-ICSI and conventional ICSI groups (RR = 1.02, 95% CI: 0.97–1.07); however, moderate heterogeneity was observed (I2 = 45.0%). The pooled outcomes from the four cohort studies revealed a significantly higher FR in the HA-ICSI group than in the conventional ICSI group (RR = 1.10, 95% CI: 1.06–1.14), with high heterogeneity observed (I2 = 51.8%). In contrast to the pooled overall results, removing the studies conducted by Kim et al. [22], Liu, et al. [26], Erberelli, et al. [27], Parmegiani, et al. [31], Parmegiani, et al. [32], and Van Den Bergh, et al. [33] led to a different sensitivity analysis result (Supplementary Material), demonstrating no differences in FR between the two groups. For RCTs, the pooled FR results did not vary with the removal of any study (Supplementary Material), demonstrating no differences in FR between the two groups. For the cohort studies, the pooled FR results did not vary with the removal of any study (Supplementary Material); however, a significantly higher FR in the HA-ICSI group than in the conventional ICSI group was observed.

3.3.7 Meta-Analysis of Cleavage Rate

We evaluated the cleavage rate between the HA-ICSI and conventional ICSI groups in six studies (three RCTs and three cohort studies). The meta-analysis revealed a significantly lower cleavage rate in the HA-ICSI group than in the traditional ICSI group (RR = 0.97, 95% CI: 0.94–0.999), with high heterogeneity observed (I2 = 74.3%). However, the pooled outcomes from the three RCTs showed no significant difference between the two groups (RR = 0.98, 95% CI: 0.94–1.03), with high heterogeneity observed (I2 = 64.2%). A similar result was observed from the pooled results of the three cohort studies (RR = 0.96, 95% CI: 0.92–1.01), with a high heterogeneity observed (I2 = 78.5%). In contrast to the previous pooled overall results, removing the studies conducted by Kim SJ, et al. [22], Parmegiani L, et al. [31], Parmegiani L, et al. [32], or Ciray HN, et al. [34] led to a different sensitivity analysis result (Supplementary Material), demonstrating no differences in cleavage rates between the two groups. For the RCTs and cohort studies, the pooled cleavage rate results did not vary with the removal of any study (Supplementary Material), demonstrating no differences in cleavage rate between the two groups.

3.3.8 Meta-Analysis of Good-Quality Embryo Rate

We evaluated the good-quality embryo rate between the HA-ICSI and conventional ICSI groups in seven studies (five RCTs and two cohort studies). No significant difference between the two groups was observed (RR = 1.19, 95% CI: 0.97–1.46), with high heterogeneity observed (I2 = 83.8%). The pooled outcomes from the five RCTs revealed no difference in good-quality embryo rate between the HA-ICSI and conventional ICSI groups (RR = 1.04, 95% CI: 0.90–1.21), with a high heterogeneity observed (I2 = 51.9%). The pooled outcomes from the two cohort studies revealed a significantly higher good-quality embryo rate in the HA-ICSI group than in the traditional ICSI group (RR = 1.56, 95% CI: 1.36–1.79); however, no heterogeneity was observed (I2 = 0%). For all studies and RCTs, the pooled results of good-quality embryo rates did not vary with the removal of any study (Supplementary Material), demonstrating no differences in good-quality embryo rates between the two groups.

3.4 Publication Bias

In our meta-analysis, evidence of a publication bias was observed. Begg’s funnel plot and Egger’s linear regression for CPR yielded p values of 0.19 and 0.04, respectively. In addition, for studies examining FR, Begg’s funnel plot and Egger’s linear regression yielded p values of 0.88 and 0.57, respectively.

4. Discussion

Our meta-analysis included RCTs and cohort studies. We identified whether HA-ICSI was beneficial for patients compared to conventional ICSI in terms of LBR, CPR, SAR, BPR, IR, FR, cleavage rate, and good-quality embryo rate. We screened 16 publications (10 RCTs, five cohort studies, and one publication, including an RCT and a cohort trial). Our meta-analysis of the cohort studies indicated a significant advantage for HA-ICSI in terms of LBR, CPR, BPR, IR, FR, and good-quality embryo rate, and no differences in SAR and cleavage rate between the HA-ICSI and control groups. Compared with that in the conventional ICSI group, the SAR in the HA-ICSI group significantly decreased in a meta-analysis of all available studies and RCTs. Similar to the RCT results, a meta-analysis of all studies revealed no difference between the HA-ICSI and control groups in terms of LBR, BPR, and good-quality embryo rates. The advantages of CPR, IR, and FR have been recognized in a meta-analysis of all available studies. However, a meta-analysis of RCTs did not demonstrate these advantages. HA-ICSI significantly decreased the cleavage rate in the meta-analysis of all available studies; however, for RCTs, no difference in the cleavage rate between the HA-ICSI and conventional ICSI groups was observed.

Our conclusions differ from those of the previous studies. Based on data from four RCTs, Lepine S, et al. [36] discovered that HA-ICSI reduced miscarriage but did not improve LBR or CPR. When our meta-analysis was limited to data sets from RCTs, we obtained similar results. RCTs have superior study designs owing to their internal validity; however, they may lack external validity [37, 38, 39]. Therefore, it is necessary to include cohort studies. Beck-Fruchter R, et al. [40] reviewed six RCTs and two cohort studies. It was concluded that using the HA-ICSI technique yielded no improvement in fertilization and pregnancy rates. A meta-analysis of all available studies showed an improvement in embryo quality and IR, and a meta-analysis of RCTs only revealed an improvement in embryo quality. We conducted a meta-analysis of all cohort studies and recent RCTs, resulting in an extensive dataset for analysis and different results. Our meta-analysis and systematic review, including RCTs and cohort studies, are the most comprehensive analyses of the effects of HA binding on sperm selection in ICSI. In contrast to previous reviews, we thoroughly searched for relevant articles and updated some recent studies.

I2 was relatively high in most analyses, indicating significant heterogeneity among these analyses. Therefore, a random-effects model was employed to minimize heterogeneity. An absence of heterogeneity in the RCTs or cohort studies in the meta-analysis of LBR, CPR, BPR, IR, and good-quality embryo rates was observed after a subgroup analysis was performed based on the type of study design, suggesting that differences in design and methods affect heterogeneity.

For the cohort studies, none of the outcomes varied significantly with the removal of any study, demonstrating that the results were not highly influenced by any study, suggesting the stability and reliability of the findings. For RCTs, all outcomes, except the SAR, did not vary with the removal of any study, demonstrating that the meta-analysis was thorough and that none of the studies greatly influenced the results. However, in our meta-analysis, the SAR outcome in RCTs was unreliable. Six RCTs reported SARs, excluding the study conducted by Miller D, et al. [23], which led to a different result of no significant difference in the SAR between the two groups, similar to the pooled results of cohort studies. Therefore, we suggest that the pooled SAR result in RCTs was greatly influenced by the study by Miller D, et al. [23], in which 2772 couples undergoing ICSI were randomly assigned to receive either HA-ICSI or conventional ICSI, and a lower miscarriage rate in HA-ICSI was observed. Additionally, the results of most of the included studies were not significant.

Our study had several limitations. First, the significant problem was that the results showed a high degree of statistical heterogeneity in some analyses. We conducted a subgroup analysis and discovered that the design and methodological differences between the RCTs and cohort studies may have contributed to the high heterogeneity observed. However, we were unable to eliminate the effects of other factors, such as the etiology of infertility, ovarian stimulation protocols, and exclusion criteria, which were not available for subgroup analysis owing to insufficient data. Moreover, the use of EmbryoscopeTM for embryo culture in one study [26] is a significant factor that affects heterogeneity. Second, some of the included articles were of low quality, and the number of included articles was insufficient. Third, a potential publication bias was observed. FR and Begg’s funnel plot showed no apparent publication bias for CPR; however, Egger’s linear regression results showed evidence of publication bias for CPR. The language of the included articles was restricted to English; therefore, the presence of another publication bias is possible. Additionally, our search was limited to published articles; as a result, unpublished articles with a possibility of meeting our inclusion criteria might have been excluded. Fourth, our meta-analysis included studies that met different inclusion and exclusion criteria. The enrollment of couples undergoing ICSI from the general in vitro fertilization (IVF) population, unselected for specific indications, might underestimate the potential advantages of HA-ICSI. Hence, the final results should be interpreted carefully and further evaluated using large samples, multiple centers, and high-quality studies.

Notwithstanding these limitations, our analysis included recently published articles, which provided greater detail on ICSI outcomes and focused on subgroup analysis according to the included study designs, leading to an increased significance of our meta-analysis. Additionally, most of the meta-analyzed studies demonstrated improved clinical outcomes with HA-ICSI. No study reported that HA-ICSI adversely affected ICSI outcomes. If a comprehensive multicenter prospective randomized study confirms the positive effects of HA-ICSI, HA-ICSI is a potential first-line infertility treatment for ‘physiological’ sperm selection before ICSI because of its ability to reduce genetic complications and its non-toxic state.

5. Conclusions

In summary, the cohort studies indicated a statistically significant advantage of HA-ICSI in terms of LBR, CPR, BPR, IR, FR, and good-quality embryo rate. All included studies and RCTs revealed that HA-ICSI significantly decreased SAR compared to conventional ICSI. The advantages of CPR, IR, cleavage rate, and FR have been recognized in a meta-analysis of all available studies. However, a meta-analysis of RCTs did not demonstrate these advantages. HA-ICSI did not have detrimental effects on ICSI outcome parameters. Extensive multicenter prospective randomized studies are required to confirm the beneficial effects of HA-ICSI. Additionally, HA-ICSI should be considered for physiological sperm selection before ICSI.

Availability of Data and Materials

All data generated or analysed during this study are included in this article. Further enquiries can be directed to the corresponding author.

Author Contributions

WF designed and performed the study, collected and analyzed the data, and wrote the paper. WG collected and analyzed the data, reviewed and edited the manuscript. QC collected and analyzed the data and reviewed and edited the manuscript. All authors contributed to editorial changes in the manuscript. All authors read and approved the final manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work.

Ethics Approval and Consent to Participate

Not applicable.

Acknowledgment

Thanks to all the peer reviewers for their opinions and suggestions.

Funding

This research received no external funding.

Conflict of Interest

The authors declare no conflict of interest.

Supplementary Material

Supplementary material associated with this article can be found, in the online version, at https://doi.org/10.31083/j.ceog5106147.

References

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