A prognostic index model for predicting long-term recurrence of uterine leiomyoma after myomectomy.
<h4>Introduction</h4>Uterine leiomyoma (UL) is a common benign pelvic tumor in women that has a high recurrence rate. Our aim is to propose a prognostic index (PI) model for predicting the long-term recurrence risk of uterine leiomyoma (UL).<h4>Methods</h4>A total of 725 wome...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0254142&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832595667531333632 |
|---|---|
| author | Xiu Ming Junying Zhou Jinhai Gou Na Li Dan Nie Luqi Xue Zhengyu Li |
| author_facet | Xiu Ming Junying Zhou Jinhai Gou Na Li Dan Nie Luqi Xue Zhengyu Li |
| author_sort | Xiu Ming |
| collection | DOAJ |
| description | <h4>Introduction</h4>Uterine leiomyoma (UL) is a common benign pelvic tumor in women that has a high recurrence rate. Our aim is to propose a prognostic index (PI) model for predicting the long-term recurrence risk of uterine leiomyoma (UL).<h4>Methods</h4>A total of 725 women who underwent myomectomy were enrolled in this retrospective multicenter study. Patients were contacted for follow-up. A PI model was proposed based on the multivariate Cox regression analysis in the model group. The predictive value of this model was tested in both internal and external validation group.<h4>Results</h4>PI formula = 1.5(if 3-5 leiomyomas) or 2(if >5 leiomyomas)+1(if residue)+1(if not submucosal)+1(if combined endometriosis). The PI value was divided into low-risk, intermediate-risk, and high-risk group by cut-off values 1.25 and 3.75. In the model group, the high-risk group had a significantly 4.55 times greater recurrence risk of UL than that in the low-risk group [cumulative recurrence rate (CR): 82.1% vs 29.5%, HR = 4.55, 95% CI 2.821-7.339]; the intermediate-risk group had a significantly 2.81 times greater recurrence risk of UL than that in the low-risk group (CR: 62.3% vs 29.5%, HR = 2.81, 95% CI 2.035-3.878). The differences between any two risk groups were also significant (P< 0.05) in both internal and external validation groups.<h4>Conclusion</h4>The model was proved to be effective in predicting recurrence of UL after myomectomy. |
| format | Article |
| id | doaj-art-2b9d6dff6a234d9fbc5ff912cb85ddb4 |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-2b9d6dff6a234d9fbc5ff912cb85ddb42025-01-18T05:31:07ZengPublic Library of Science (PLoS)PLoS ONE1932-62032021-01-01167e025414210.1371/journal.pone.0254142A prognostic index model for predicting long-term recurrence of uterine leiomyoma after myomectomy.Xiu MingJunying ZhouJinhai GouNa LiDan NieLuqi XueZhengyu Li<h4>Introduction</h4>Uterine leiomyoma (UL) is a common benign pelvic tumor in women that has a high recurrence rate. Our aim is to propose a prognostic index (PI) model for predicting the long-term recurrence risk of uterine leiomyoma (UL).<h4>Methods</h4>A total of 725 women who underwent myomectomy were enrolled in this retrospective multicenter study. Patients were contacted for follow-up. A PI model was proposed based on the multivariate Cox regression analysis in the model group. The predictive value of this model was tested in both internal and external validation group.<h4>Results</h4>PI formula = 1.5(if 3-5 leiomyomas) or 2(if >5 leiomyomas)+1(if residue)+1(if not submucosal)+1(if combined endometriosis). The PI value was divided into low-risk, intermediate-risk, and high-risk group by cut-off values 1.25 and 3.75. In the model group, the high-risk group had a significantly 4.55 times greater recurrence risk of UL than that in the low-risk group [cumulative recurrence rate (CR): 82.1% vs 29.5%, HR = 4.55, 95% CI 2.821-7.339]; the intermediate-risk group had a significantly 2.81 times greater recurrence risk of UL than that in the low-risk group (CR: 62.3% vs 29.5%, HR = 2.81, 95% CI 2.035-3.878). The differences between any two risk groups were also significant (P< 0.05) in both internal and external validation groups.<h4>Conclusion</h4>The model was proved to be effective in predicting recurrence of UL after myomectomy.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0254142&type=printable |
| spellingShingle | Xiu Ming Junying Zhou Jinhai Gou Na Li Dan Nie Luqi Xue Zhengyu Li A prognostic index model for predicting long-term recurrence of uterine leiomyoma after myomectomy. PLoS ONE |
| title | A prognostic index model for predicting long-term recurrence of uterine leiomyoma after myomectomy. |
| title_full | A prognostic index model for predicting long-term recurrence of uterine leiomyoma after myomectomy. |
| title_fullStr | A prognostic index model for predicting long-term recurrence of uterine leiomyoma after myomectomy. |
| title_full_unstemmed | A prognostic index model for predicting long-term recurrence of uterine leiomyoma after myomectomy. |
| title_short | A prognostic index model for predicting long-term recurrence of uterine leiomyoma after myomectomy. |
| title_sort | prognostic index model for predicting long term recurrence of uterine leiomyoma after myomectomy |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0254142&type=printable |
| work_keys_str_mv | AT xiuming aprognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT junyingzhou aprognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT jinhaigou aprognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT nali aprognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT dannie aprognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT luqixue aprognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT zhengyuli aprognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT xiuming prognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT junyingzhou prognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT jinhaigou prognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT nali prognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT dannie prognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT luqixue prognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy AT zhengyuli prognosticindexmodelforpredictinglongtermrecurrenceofuterineleiomyomaaftermyomectomy |