Evidence map›Paper›PMID 39262693›Full record

ArticleAmerican journal of translational research2024

Correlation analysis of BMI with ovulation effect and clinical pregnancy rate in patients with polycystic ovary syndrome.

Xiaoqiong Zeng, Chao Yang

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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Xiaoqiong ZengDepartment of Gynecology and Reproductive and Gynecological Endocrinology, Changde Maternal and Child Health Care Hospital Changde 415000, Hunan, China.
Chao YangDepartment of Gynecology and Reproductive and Gynecological Endocrinology, Changde Maternal and Child Health Care Hospital Changde 415000, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study was designed to investigate the correlation between body mass index (BMI) along with both ovulation effect and clinical pregnancy rate in patients with polycystic ovary syndrome (PCOS), as well as to analyze the factors influencing the clinical pregnancy rate.

methodsIn the retrospective study, data from 122 patients were collected. The patients were classified into three groups based on their pre-pregnancy BMI: normal weight, overweight group, and obese group. The analysis focused on examining the ovulation indicators, ovulation rates, and clinical pregnancy rates across different groups. Furthermore, both univariate and multivariate analyses were conducted to identify factors influencing the clinical pregnancy rate.

resultsThe obese group exhibited significantly higher fasting plasma glucose (FPG) levels compared to the overweight and normal-weight groups (P<0.0001); but no significant difference was found between the overweight and normal-weight groups (P>0.05). Both the obese and overweight groups had elevated levels of low-density lipoprotein cholesterol (LDL-C) compared to the normal-weight group (P<0.0001), with no significant difference between the obese and overweight groups (P>0.05). The obese group exhibited significantly lower levels of high-density lipoprotein cholesterol (HDL-C) compared to the normal-weight group (P<0.05); but no significant difference in HDL-C levels was observed between the overweight and normal-weight groups (P>0.05). Both the overweight group and obese group showed notably higher endometrial thickness and diameter of mature follicles than the normal weight group (P<0.05), as well as notably fewer mature follicles (P<0.05). Furthermore, the obese group demonstrated a significantly lower number of mature follicles compared to the overweight group (P<0.05). Conversely, the diameter of mature follicles was found to be significantly higher in the obese group than in the overweight group (P<0.05). The endometrial thickness showed a positive correlation with BMI (r=0.657, P<0.001), while the number of mature follicles exhibited a negative correlation with BMI (r=-0.547, P<0.001). Additionally, the diameter of mature follicles demonstrated a positive correlation with BMI (r=0.681, P<0.001). Relatively high BMI, advanced maternal age, and elevated FPG were identified as independent risk factors associated with low clinical pregnancy rate in patients with PCOS.

conclusionsRelatively high BMI, advanced maternal age, and elevated FPG are independent risk factors associated with a decreased likelihood of achieving clinical pregnancy in patients. Therefore, in clinical practice, assisting obese patients in weight reduction to maintain a BMI within the normal range of 18.5-23.9 kg/m

Indexed as

BMIclinical pregnancy rateovulation effectpolycystic ovary syndrome

Identifiers

PMID39262693
PMCPMC11384404

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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.