of the retrieved articles, and then
imported the data into NoteExpress software for
literature management, eliminated duplicate
literatures and excluded literatures that did not
meet the requirements of the articles. After
browsing the title and abstract of the articles,
download the full text of the article and read it
carefully. Using excel tables to record and
summarize useful data, and then summarizing the
literature in the next step. If the data diverges, a
third researcher can make a decision. The content
of data extraction mainly includes: 1) the subject of
the included study, the abstract of the literature,
the year of publication, the test method, the type
of study, and the number of cases; 2) Basic
characteristics of the subjects, including baseline
data of each group, such as age, gender, duration
of disease, follow-up time, etc.; 3) Speci fic
intervention measures and relevant relevant
indicators, such as randomization, diagnostic
criteria, course of disease, baseline data, treatment
time, follow-up time, adverse reactions and other
records, including outcome indicators and related
factors causing the risk of deviation.
Quality assessment / Risk of bias analysis The
literature quality was evaluated by two researchers.
The risk of bias was assessed using the literature
quality assessment tool provided by the Cochrane
Collaboration network. The quality of the selected
literature was evaluated through 7 articles. Specific
articles include random sequence generation,
assignment concealment, double blindness of
subjects and researchers, blind evaluation of
results, loss of follow-up and withdrawal, selective
reporting, and other sources of bias. The bias of
the above mentioned projects can be classi fied
into three levels of bias: low risk, uncertain and
high risk. In addition, when the selection decisions
of two researchers are inconsistent, it can be
resolved by negotiation or by asking a third party
to intervene and coordinate.
Strategy of data synthesis When closed loops
appear in the study, the "ring method" is used to
test for inconsistencies. The inconsistency factor
(IF value) can be judged: when P>0.05 or its 95%
CI starting point is 0, it indicates that the direct
evidence and indirect evidence are in good
agreement; When P0.05, indicating good
agreement between direct and indirect evidence. If
there is inconsistency, the inconsistency model is
fitted, and sensitivity analysis is performed to test
the stability of the outcome measures, and vice
versa.
The primary outcome was clinical efficacy rate.
Considering the comprehensive factors in
acupuncture techniques, acupuncture therapies,
stimulation intensity and frequency, differences in
drug components, timing of treatment in the
original studies, acupoint prescription and so
on,this analysis used a random-effects model.
Subgroup analysis Subgroup analysis is not set
up at this time.
Sensitivity analysis 1. Type and quality of studies,
such as excluding only individual observational
studies or studies of low quality;
2. Definition and measurement of study subjects,
interventions and outcomes, such as excluding
only studies with different therapeutic doses;
3. Inclusion and exclusion criteria, such as studies
that exclude ethnic minorities;
4. Data extraction method and estimation method
of missing data, such as extracting a certain data
point by another method;
5. Statistical models, such as using di fferent
weighting methods.
Language restriction Chinese or English.
Country(ies) involved China.
K e y w o rd s a c u p u n c t u re ; m o x i b u s t i o n;
endometriosis;randomized controlled trials;
network meta-analysis.
Contributions of each author
Author 1 - Yang Su - Author 1 drafted the
manuscript.
Email:
[email protected]
Author 2 - Xiaoyan Zheng - Author 2 rectified the
article(data analysis and examination).
INPLASY 3Su et al. INPLASY protocol 202380077. doi:10.37766/inplasy2023.8.0077
Su et al. INPLASY protocol 202380077. doi:10.37766/inplasy2023.8.0077 Downloaded from https://inplasy.com/inplasy-2023-8-0077/
Email:
[email protected]
Author 3 - Hao Zhu - Author 3 collected data and
extracted the data.Meanwhile,quality assessment
was checked.
Email:
[email protected]
Author 4 - Yan Jia - Author 4 checked the article's
contents and various datas by referring software.
Email:
[email protected]
Author 5 - Jie Yang - Author 5 Checked the writing
of the article and the authenticity of the content of
the paper, the reliability of the data, the credibility
of the conclusion, whether it conformed to the
legal norms, academic norms and moral norms.
Email:
[email protected]
INPLASY 4Su et al. INPLASY protocol 202380077. doi:10.37766/inplasy2023.8.0077
Su et al. INPLASY protocol 202380077. doi:10.37766/inplasy2023.8.0077 Downloaded from https://inplasy.com/inplasy-2023-8-0077/