Decision tree model predicts live birth after surgery for moderate-to-severe intrauterine adhesions.
Background: After treatment of intrauterine adhesions, the rate of re-adhesion is high and the pregnancy outcome unpredictable and unsatisfactory. This study established and verified a decision tree predictive model of live birth in patients after surgery for moderate-to-severe intrauterine adhesion...
| Publicado en: | BMC Pregnancy & Childbirth Vol. 22; no. 1; pp. 1 - 10 |
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| Autores principales: | , , , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
1/29/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154978868&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154978868 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14712393 1CII jtl: BMC Pregnancy & Childbirth issn: 14712393 maglogo: N pubinfo: dt: 1/29/2022 vid: 22 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 154978868 154978868 NLM35093014 10.1186/s12884-022-04375-x NLM35093014 154978868 ppf: 1 ppct: 9 formats: tig: atl: Decision tree model predicts live birth after surgery for moderate-to-severe intrauterine adhesions. aug: au: Zhu, Ru Duan, Hua Xu, Wenbin Wang, Sha Gan, Lu Xu, Qian Li, Jinjiao affil: Department of Minimally Invasive Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, 100006, Beijing, China sug: subj: Pregnancy Outcomes Decision Trees Pregnancy Complications Surgery Hysteroscopy Uterine Diseases Surgery Female Adult Predictive Value of Tests Retrospective Design Pregnancy Adhesions Surgery Birth Rate Logistic Regression Scales Adult: 19-44 years Female ab: Background: After treatment of intrauterine adhesions, the rate of re-adhesion is high and the pregnancy outcome unpredictable and unsatisfactory. This study established and verified a decision tree predictive model of live birth in patients after surgery for moderate-to-severe intrauterine adhesions (IUAs).Methods: A retrospective observational study initially comprised 394 patients with moderate-to-severe IUAs diagnosed via hysteroscopy. The patients underwent hysteroscopic adhesiolysis from January 2013 to January 2017, in a university-affiliated hospital. Follow-ups to determine the rate of live birth were conducted by telephone for at least the first postoperative year. A classification and regression tree algorithm was applied to establish a decision tree model of live birth after surgery.Results: Within the final population of 374 patients, the total live birth rate after treatment was 29.7%. The accuracy of the model was 83.8%, and the area under the receiver operating characteristic curve (AUC) was 0.870 (95% CI 7.699-0.989). The root node variable was postoperative menstrual pattern. The predictive accuracy of the multivariate logistic regression model was 70.3%, and the AUC was 0.835 (95% CI 0.667-0.962).Conclusions: The decision tree predictive model is useful for predicting live birth after surgery for IUAs; postoperative menstrual pattern is a key factor in the model. This model will help clinicians make appropriate clinical decisions during patient consultations. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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