Evidence map›Paper›PMID 39051087›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2024

[Establishment of a predictive nomogram for clinical pregnancy rate in patients with endometriosis undergoing fresh embryo transfer].

S Pan, Y Li, Z Wu, Y Mao, C Wang

Abstract readEnglish Abstract
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

S PanDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine; Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.
Y LiDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine; Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.
Z WuDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine; Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.
Y MaoDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine; Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.
C WangDepartment of Obstetrics and Gynecology, Center for Reproductive Medicine, Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine; Third Affiliated Hospital of Guangzhou Medical University, Guangzhou 510150, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo establish a nomogram model for predicting clinical pregnancy rate in patients with endometriosis undergoing fresh embryo transfer.

methodsWe retrospectively collected the data of 464 endometriosis patients undergoing fresh embryo transfer, who were randomly divided into a training dataset (60%) and a testing dataset (40%). Using univariate analysis, multiple logistic regression analysis, and LASSO regression analysis, we identified the factors associated with the fresh transplantation pregnancy rate in these patients and developed a nomogram model for predicting the clinical pregnancy rate following fresh embryo transfer. We employed an integrated learning approach that combined GBM, XGBOOST, and MLP algorithms for optimization of the model performance through parameter adjustments.

resultsThe clinical pregnancy rate following fresh embryo transfer was significantly influenced by female age, Gn initiation dose, number of assisted reproduction cycles, and number of embryos transferred. The variables included in the LASSO model selection included female age, FSH levels, duration and initial dose of Gn usage, number of assisted reproduction cycles, retrieved oocytes, embryos transferred, endometrial thickness on HCG day, and progesterone level on HCG day. The nomogram demonstrated an accuracy of 0.642 (95%

conclusionsThe established prediction model in this study can help in prediction of clinical pregnancy rates following fresh embryo transfer in patients with endometriosis.

Indexed as

Embryo TransferEndometriosisNomogramsPregnancy RateAdultAlgorithmsFemaleFertilization in VitroHumansLogistic ModelsPregnancyRetrospective Studiesclinical pregnancy rateendometriosisinfertilitynomogrampredictive model

Identifiers

PMID39051087
PMCPMC11270668

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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.