The Development of Predictive Nomogram of Recurrence for Patients With Endometrioma After Cystectomy Who Were Younger Than 45 Years Old and Received Postoperative Therapy
Objective:This study aimed to establish an effective prognostic nomogram for the postoperative recurrence of endometrioma or endometriosis-related pain for patients with endometrioma after long-term follow-up, who were younger than 45 years old and received postoperative therapy.MethodsThe predictiv...
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Frontiers Media S.A.
2022-06-01
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.872481/full |
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| author | Zhiyue Gu Zhiyue Gu Xiaoyan Li Xiaoyan Li Jinghua Shi Jinghua Shi Yushi Wu Yushi Wu Jing Zhang Jing Zhang Chenyu Zhang Chenyu Zhang Hailan Yan Hailan Yan Jinhua Leng Jinhua Leng |
| author_facet | Zhiyue Gu Zhiyue Gu Xiaoyan Li Xiaoyan Li Jinghua Shi Jinghua Shi Yushi Wu Yushi Wu Jing Zhang Jing Zhang Chenyu Zhang Chenyu Zhang Hailan Yan Hailan Yan Jinhua Leng Jinhua Leng |
| author_sort | Zhiyue Gu |
| collection | DOAJ |
| description | Objective:This study aimed to establish an effective prognostic nomogram for the postoperative recurrence of endometrioma or endometriosis-related pain for patients with endometrioma after long-term follow-up, who were younger than 45 years old and received postoperative therapy.MethodsThe predictive nomogram was based on 323 patients who underwent cystectomy for endometrioma at Perking Union Medical College Hospital from January 2009 to April 2013, and the last follow-up occurred in September 2018. We collected information on all included patients, including preoperative data, intraoperative data, and long-term follow-up data after surgery. The Cox proportional hazards regression model was used to evaluate the prognostic effects of multiple clinical parameters on recurrence. The survival curve was depicted based on Kaplan-Meier method and compared by log-rank method. The Index of concordance (C-index) and calibration curves were used to access the discrimination ability and predictive accuracy of the nomogram respectively, and the results were further validated via bootstrap resampling. In addition, calculating the area under the curve (AUC) via risk scores of patients aimed to further access the prediction ability of the model.ResultsOn multivariate analysis of derivation cohort, independent factors for recurrence such as dysmenorrhea degree, sum of both cyst diameters, presence of adenomyosis, and other essential factors for recurrence such as age at surgery, presence of uterine fibroids were all selected into the nomogram. The C-index of the nomogram for predicting recurrence was 0.683 (95% CI, 0.610- 0.755). The calibration curve for probability of recurrence for 7 years and 9 years showed great agreement between prediction by nomogram and actual observation. Furthermore, the AUCs of risk score for 7-year and 9-year were 0.680 and 0.790 respectively.ConclusionThis research tried to develop the predictive nomogram of recurrence for patients with endometrioma after cystectomy. The C-index and calibration curve of nomogram, as well as the AUC of the nomogram was potential to predict the recurrence probability. In addition, this predictive nomogram needs external data sets to further validate its prognostic accuracy in the future. |
| first_indexed | 2024-04-13T20:11:48Z |
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| id | doaj.art-4650eb6f05f74f0eb88b83539097ae22 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-04-13T20:11:48Z |
| publishDate | 2022-06-01 |
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| series | Frontiers in Medicine |
| spelling | doaj.art-4650eb6f05f74f0eb88b83539097ae222022-12-22T02:31:50ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-06-01910.3389/fmed.2022.872481872481The Development of Predictive Nomogram of Recurrence for Patients With Endometrioma After Cystectomy Who Were Younger Than 45 Years Old and Received Postoperative TherapyZhiyue Gu0Zhiyue Gu1Xiaoyan Li2Xiaoyan Li3Jinghua Shi4Jinghua Shi5Yushi Wu6Yushi Wu7Jing Zhang8Jing Zhang9Chenyu Zhang10Chenyu Zhang11Hailan Yan12Hailan Yan13Jinhua Leng14Jinhua Leng15Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaNational Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, ChinaDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaNational Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, ChinaDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaNational Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, ChinaDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaNational Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, ChinaDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaNational Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, ChinaDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaNational Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, ChinaDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaNational Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, ChinaDepartment of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, ChinaNational Clinical Research Center for Obstetric and Gynecologic Diseases, Beijing, ChinaObjective:This study aimed to establish an effective prognostic nomogram for the postoperative recurrence of endometrioma or endometriosis-related pain for patients with endometrioma after long-term follow-up, who were younger than 45 years old and received postoperative therapy.MethodsThe predictive nomogram was based on 323 patients who underwent cystectomy for endometrioma at Perking Union Medical College Hospital from January 2009 to April 2013, and the last follow-up occurred in September 2018. We collected information on all included patients, including preoperative data, intraoperative data, and long-term follow-up data after surgery. The Cox proportional hazards regression model was used to evaluate the prognostic effects of multiple clinical parameters on recurrence. The survival curve was depicted based on Kaplan-Meier method and compared by log-rank method. The Index of concordance (C-index) and calibration curves were used to access the discrimination ability and predictive accuracy of the nomogram respectively, and the results were further validated via bootstrap resampling. In addition, calculating the area under the curve (AUC) via risk scores of patients aimed to further access the prediction ability of the model.ResultsOn multivariate analysis of derivation cohort, independent factors for recurrence such as dysmenorrhea degree, sum of both cyst diameters, presence of adenomyosis, and other essential factors for recurrence such as age at surgery, presence of uterine fibroids were all selected into the nomogram. The C-index of the nomogram for predicting recurrence was 0.683 (95% CI, 0.610- 0.755). The calibration curve for probability of recurrence for 7 years and 9 years showed great agreement between prediction by nomogram and actual observation. Furthermore, the AUCs of risk score for 7-year and 9-year were 0.680 and 0.790 respectively.ConclusionThis research tried to develop the predictive nomogram of recurrence for patients with endometrioma after cystectomy. The C-index and calibration curve of nomogram, as well as the AUC of the nomogram was potential to predict the recurrence probability. In addition, this predictive nomogram needs external data sets to further validate its prognostic accuracy in the future.https://www.frontiersin.org/articles/10.3389/fmed.2022.872481/fullendometriosisendometriomanomogramrecurrencepredictive model |
| spellingShingle | Zhiyue Gu Zhiyue Gu Xiaoyan Li Xiaoyan Li Jinghua Shi Jinghua Shi Yushi Wu Yushi Wu Jing Zhang Jing Zhang Chenyu Zhang Chenyu Zhang Hailan Yan Hailan Yan Jinhua Leng Jinhua Leng The Development of Predictive Nomogram of Recurrence for Patients With Endometrioma After Cystectomy Who Were Younger Than 45 Years Old and Received Postoperative Therapy Frontiers in Medicine endometriosis endometrioma nomogram recurrence predictive model |
| title | The Development of Predictive Nomogram of Recurrence for Patients With Endometrioma After Cystectomy Who Were Younger Than 45 Years Old and Received Postoperative Therapy |
| title_full | The Development of Predictive Nomogram of Recurrence for Patients With Endometrioma After Cystectomy Who Were Younger Than 45 Years Old and Received Postoperative Therapy |
| title_fullStr | The Development of Predictive Nomogram of Recurrence for Patients With Endometrioma After Cystectomy Who Were Younger Than 45 Years Old and Received Postoperative Therapy |
| title_full_unstemmed | The Development of Predictive Nomogram of Recurrence for Patients With Endometrioma After Cystectomy Who Were Younger Than 45 Years Old and Received Postoperative Therapy |
| title_short | The Development of Predictive Nomogram of Recurrence for Patients With Endometrioma After Cystectomy Who Were Younger Than 45 Years Old and Received Postoperative Therapy |
| title_sort | development of predictive nomogram of recurrence for patients with endometrioma after cystectomy who were younger than 45 years old and received postoperative therapy |
| topic | endometriosis endometrioma nomogram recurrence predictive model |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2022.872481/full |
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