Study registration
This protocol of systematic review have been registered on PROSPERO (CRD42021238871), which was drafted according to the Preferred Reporting Item for Systematic Review and Meta-analysis (PRISMA-P) statement.
Inclusion criteria
Types of studies
This study will include RCTs involving patients with infertility who underwent IVF and used TEAS as the main adjuvant treatment versus non-TEAS or sham TEAS control. The languages of publication will be restricted to English and Chinese.
Type of participant
Patients who underwent IVF with or without ICSI treatment will be included, whether or not failure cycles exist before. Patients with infertility due to various female factors (ovulation factors, tubal factors, and so on) will be included. Moreover, race, age, and nationality will not be restricted.
Types of interventions
TEAS as the main adjuvant treatment will be included.
Types of comparator(s)/control
The following control will be considered for inclusion:
1. The adjuvant treatment of control groups without TEAS (e.g., conventional care, health education, waiting list, and so on).
2. Placebo controls where no effective current stimulation and (or) the electrode dislocation on meridians and acupoints related to infertility treatment exist.
Both intervention and control groups will be considered to take IVF conventional western therapy as the basic treatment. IVF conventional western therapy, including schemes of COH, ET, endometrial preparation in recovery cycles, and so on will have no restrictions.
Types of outcome measures
Primary outcomes
The clinical pregnancy rate will be regarded as the primary outcome.
Secondary outcomes
Ongoing pregnancy rate, miscarriage rate, live birth rate, emotion-related indicators, adverse events related to interventions, and other relevant outcomes will be considered as the secondary outcomes.
Exclusion criteria
1. Design type is non-RCT
2. The cause of infertility is only related to the male factor
3. Percutaneous electrical stimulation in the intervention group is the left the acupoints or meridians
4. The control group is taking another acupuncture therapy (e.g., manual acupuncture, electro-acupuncture, auricular acupuncture, and so on) as adjuvant therapy
5. The data is found to be significantly falsified
6. The full text is not available after all efforts
Search methods for identification of studies
Electronic searches
Eight databases will be searched from inception until June 2021: Cochrane Library, MEDLINE, EMbase, PsycINFO, CINAHL, Chinese National Knowledge Infrastructure, Wanfang Database, and the Chongqing VIP Chinese Science and Technology Periodical Database. Only RCTs evaluating the effects of TEAS by the aforementioned controls will be included. The literature search will be constructed around medical search headings (MeSH) for TEAS, MeSH for IVF, and MeSH for RCTs. In addition, appropriate adjustments will be made according to the necessity of each database. Taking MEDLINE as an example, the specific searching strategy is listed in Table 1.
Searching other resources
The following clinical trial registries will be searched for relevant ongoing trials and unpublished trials: the International Clinical Trials Registry Platform (http://www.who.int/ictrp/en/), the NIH clinical registry ClinicalTrials.gov (https://www.clinicaltrials.gov/), the Australian New Zealand Clinical Trials Registry (http://www.anzctr.org.au/), and the Chinese clinical registry (http://www.chictr.org/en/). The references of all identified publications will be screened. In addition, experts in the field will be consulted for relevant studies.
Data collection and analysis
Selection of studies
The retrieved studies will be imported into Endnote software V.9.1. After removing duplicates, two researchers (ZHZ and JJL) will screen the literature independently based on the inclusion and exclusion criteria. The initial screening will be conducted by reading the titles and abstracts to determine inclusion or exclusion. Two researchers will conduct second screening by reading the full text. The reasons for exclusion will be recorded in detail. Two researchers will cross-check the final screened results. An agreement will be reached through discussion if any dispute arises. If consensus cannot be reached through discussion, the third researcher (FRL) will be involved. The process and results of the selection of studies are shown in Figure 1.
Data extraction and management
Two researchers (HY and LYL) will independently extract relevant data from included studies. Four main domains will be included in the form: basic information (title, year of publication, source of publication, country, name of the first author and corresponding author, affiliation of the first author and corresponding author, sources of funds, and so on), method (participants, intervention, control treatment, method of randomization and blinding, and so on), results (outcomes, adverse events, follow-up, and so on), and conclusion. The two researchers will cross-check after data extraction. An agreement will be reached through discussion if any dispute arises. If consensus cannot be reached through discussion, the third researcher (JL) will be involved.
Assessment of risk of bias of included studies
Two researchers (GXX and MSS) will independently use the Cochrane Collaboration’s tool ROB2.0[21] to evaluate the risk of bias for the included studies. The following five domains will be assessed: bias arising from the randomization process, bias due to deviations from intended interventions, bias due to missing outcome data, bias in outcome measurement, and bias in the selection of the reported result. If all domains are marked low risk, overall bias will be regarded as low risk of bias. If one domain is marked some concern, overall bias will be regarded as some concerns. If one domain is marked high risk or several domains are marked some concern that could influence the robustness of the study, overall bias will be regarded as high risk of bias. If the information is missing that affects the assessment of this study, the authors will be contacted. The two researchers will cross-check after completing the evaluation. An agreement will be reached through discussion if any dispute arises. If consensus cannot be reached through discussion, the third researcher (FRL) will be involved.
Measures of treatment effect
RevMan V.5.3 will be utilized to synthesize and analyze the data statistically. A risk ratio with a 95% confidence interval (CI) will be chosen to analyze the outcome of dichotomous data. A standard mean difference or a weighted mean difference with a 95% CI will be chosen to analyze the outcome of continuous data.
Assessment of heterogeneity
Statistical heterogeneity will be investigated by conducting chi-squared tests in the forest plot using RevMan V.5.3, and significance will be considered if the P value is <0.10[22]. In addition, the statistical heterogeneity in the meta-analysis will be evaluated by calculating the I2 value. According to the Cochrane Handbook[22], the I2 value is suggested to be classified in the following four degrees: 0%–40% (no heterogeneity), 30%–60% (moderate heterogeneity), 50%–90% (substantial heterogeneity), and 75%–100% (considerable heterogeneity).
Data synthesis
The unified data will be imported into the RevMan software V.5.3 for statistical analysis. If I2 < 40%, the fixed effects model will be chosen to synthesize the data. If 40% ≤ I2 < 75%, the random-effects model will be chosen to analyze the data. If I2 ≥ 40%, the source of heterogeneity will be determined by conducting subgroup analyses.
Subgroup analysis
To determine the potential sources of heterogeneity, subgroup analyses will be conducted based on infertility with different causes, TEAS on different frequencies, different protocols of TEAS intervention, patients with a history of failure cycles, and so on.
Sensitivity analysis
Sensitivity analysis will be conducted to examine the robustness of the primary decision made in the review process. To implement a sensitivity review, several decision nodes within the process of the systematic review will be taken into account, such as the trials with a small sample size (<10 participants), the trials with obvious performance bias, the trials with obvious detection bias, and so on. The results of the sensitivity analysis will be shown in the summary tables.
Assessment of reporting bias
If the number of included trials is >10, a funnel plot will be generated to show the reporting bias. In addition, the Egger’s test will be conducted by R software V.3.6.1.
Evidence quality evaluation
By using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system[23], the evidence quality of each outcome will be independently evaluated by two researchers (SYY and JY). According to GRADE rating standards, the evidence quality will be rated as very low, low, moderate, or high. The quality of evidence will be mainly assessed in terms of risk of bias, inconsistency, indirectness, imprecision, publication bias, large effect, dose–response, and all plausible confounding factors[23,24]. The two researchers will cross-check after completing the evaluation. An agreement will be reached through discussion if any dispute arises. If consensus cannot be reached through discussion, the third researcher (FRL) will be involved. The results of GRADE will be shown in a summary of the findings table[24].