Evidence map›Paper›PMID 37118531›Full record

ArticleChinese journal of integrative medicine2023

Efficacy of Chinese Herbal Medicines on Pregnancy Outcomes in Patients with Endometriosis in Long-Term Management: A Multicenter Retrospective Cohort Study.

Xin-Chun Yang, Yong Liu, Wei-Wei Sun, Guang Shi, Ying Wu, Cai Xu, Qing-Wei Meng, Zeng-Ping Hao, Qian Han, Rui-Hua Zhao

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Chinese journal of integrative medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 1 country.

Xin-Chun YangDepartment of Gynecology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Yong LiuDepartment of Gynecology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Wei-Wei SunDepartment of Gynecology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Guang ShiDepartment of Gynecology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China.
Ying WuDepartment of Traditional Chinese Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China.
Cai XuDepartment of Gynecology, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, 100078, China.
Qing-Wei MengDepartment of Obstetrics and Gynecology, Beijing Hospital, Beijing, 100730, China.
Zeng-Ping HaoDepartment of Obstetrics and Gynecology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, China.
Qian HanDepartment of Traditional Chinese Medicine, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, 100026, China.
Rui-Hua ZhaoDepartment of Gynecology, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, China. rhzh801@126.com.
Guang’anmen Hospital · CNCapital Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNBeijing Hospital · CNBeijing Hospital of Traditional Chinese Medicine · CNBeijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the factors related to pregnancy of endometriosis and whether Chinese herbal medicines (CHMs) can improve pregnancy outcomes in patients with endometriosis in long-term management.

methodsThis multicenter cohort study retrospectively analyzed the clinical data of endometriosis patients with fertility needs from January 2019 to November 2019. A total of 252 patients with endometriosis from 5 level-III Grade A hospitals in Beijing were included in this study. Univariate and multivariate logistic regression analysis were performed for the relevant factors. The propensity score matching (PSM) function of SPSS software was used to match the CHMs group with the non-CHMs group. The pregnancy rate and live birth rate were analyzed.

resultsThe results of univariate analysis showed that age, disease course, presence of infertility, presence of adenomyosis, time after surgery or use of gonadotropin-releasing hormone agonist (GnRH-a), use of CHMs and follow-up time were influencing factors of pregnancy in endometriosis patients (P<0.05). The results of multivariate analysis showed that age, presence of adenomyosis, time after surgery or use of GnRH-a, use of CHMs and follow-up time were independent factors affecting pregnancy in endometriosis patients, among which, age ⩾35 years old, presence of adenomyosis and follow-up time >6 months were independent risk factors (OR=0.445, 0.348, 0.140, respectively, P<0.05), time after surgery or use of GnRH-a ⩽6 months and use of CHMs were independent protective factors (OR=3.839, 3.842, respectively, P<0.05). After PSM, 99 pairs of two groups were matched successfully. The pregnancy rate of the CHMs group was higher than that of the non-CHMs group [55.56% (55/99) vs. 36.36% (36/99), P<0.05]. The live birth rate of the CHMs group was higher than that of the non-CHMs group [49.49% (49/99) vs. 35.35% (35/99), P<0.05].

conclusionCHMs can effectively improve clinical pregnancy rate and live birth rate of patients with endometriosis in the chronic disease management.

Indexed as

AdenomyosisEndometriosisAdultCohort StudiesFemaleFertilization in VitroGonadotropin-Releasing HormoneHumansPlant ExtractsPregnancyPregnancy OutcomeRetrospective StudiesGonadotropin-Releasing HormonePlant ExtractsChinese herbal medicineendometriosislong-term managementmultivariate analysispregnancyretrospective cohort study

Identifiers

PMID37118531
OpenAlexW4367301372

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.