دورية أكاديمية
أعرض في EDS

The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis.

التفاصيل البيبلوغرافية
العنوان: The Development of Nomograms to Predict Blastulation Rate Following Cycles of In Vitro Fertilization in Patients With Tubal Factor Infertility, Polycystic Ovary Syndrome, or Endometriosis.
المؤلفون: Jin H; Reproductive Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China., Shen X; Reproductive Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China., Song W; Reproductive Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China., Liu Y; Reproductive Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China., Qi L; Reproductive Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China., Zhang F; Reproductive Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
المصدر: Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2021 Nov 03; Vol. 12, pp. 751373. Date of Electronic Publication: 2021 Nov 03 (Print Publication: 2021).
نوع المنشور: Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE
أسماء مطبوعة: Original Publication: [Lausanne : Frontiers Research Foundation]
مواضيع طبية MeSH: Blastula* , Nomograms*, Endometriosis/*complications , Fertilization in Vitro/*methods , Infertility, Female/*therapy , Polycystic Ovary Syndrome/*complications, Adult ; Area Under Curve ; Calibration ; Female ; Humans ; Infertility, Female/etiology ; Machine Learning ; Predictive Value of Tests ; Pregnancy ; Pregnancy Rate ; Prognosis ; Reproducibility of Results ; Treatment Outcome
مستخلص: It is well known that the transfer of embryos at the blastocyst stage is superior to the transfer of embryos at the cleavage stage in many respects. However, the rate of blastocyst formation remains low in clinical practice. To reduce the possibility of wasting embryos and to accurately predict the possibility of blastocyst formation, we constructed a nomogram based on range of clinical characteristics to predict blastocyst formation rates in patients with different types of infertility. We divided patients into three groups based on female etiology: a tubal factor group, a polycystic ovary syndrome group, and an endometriosis group. Multiple logistic regression was used to analyze the relationship between patient characteristics and blastocyst formation. Each group of patients was divided into a training set and a validation set. The training set was used to construct the nomogram, while the validation set was used to test the performance of the model by using discrimination and calibration. The area under the curve (AUC) for the three groups indicated that the models performed fairly and that calibration was acceptable in each model.
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2021 Jin, Shen, Song, Liu, Qi and Zhang.)
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فهرسة مساهمة: Keywords: blastocyst; endometriosis; in vitro fertilization; polycystic ovary syndrome (PCOS); predictive models; tubal factor infertility
تواريخ الأحداث: Date Created: 20211122 Date Completed: 20220210 Latest Revision: 20220210
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC8595301
DOI: 10.3389/fendo.2021.751373
PMID: 34803917
قاعدة البيانات: MEDLINE
الوصف
تدمد:1664-2392
DOI:10.3389/fendo.2021.751373