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Clinical presentation of perineal endometriosis and prognostic nomogram after surgical resection
BACKGROUND: This retrospective study evaluated the clinical features of perineal endometriosis (PEM) and established a prognostic nomogram for recurrence probability in patients treated with surgical resection. METHODS: This study enrolled 130 PEM patients who had received surgical treatment in Peki...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701412/ https://www.ncbi.nlm.nih.gov/pubmed/36435830 http://dx.doi.org/10.1186/s12905-022-02068-3 |
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author | Zhu, Shiyang Gu, Zhiyue Li, Xiaoyan Dai, Yi Shi, Jinghua Leng, Jinhua |
author_facet | Zhu, Shiyang Gu, Zhiyue Li, Xiaoyan Dai, Yi Shi, Jinghua Leng, Jinhua |
author_sort | Zhu, Shiyang |
collection | PubMed |
description | BACKGROUND: This retrospective study evaluated the clinical features of perineal endometriosis (PEM) and established a prognostic nomogram for recurrence probability in patients treated with surgical resection. METHODS: This study enrolled 130 PEM patients who had received surgical treatment in Peking Union Medical College Hospital (PUMCH) between January 1992 and September 2020. We collected their clinical features and conducted outpatient or telephone follow-up. The predictive nomogram was constructed based on 104 patients who had completed follow-up by July 2021. The Cox proportional hazards regression model was used to evaluate the prognostic effects of multiple clinical parameters on recurrence. 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. Calculating the area under the curve (AUC) via risk scores of patients aimed to further access the predictive power of the model. In addition, the survival curve was depicted using Kaplan–Meier plot and compared by log-rank method. RESULTS: Most PEM patients had been symptomatic for 24–48 months before the lesion resection. With a median 99.00 (interquartile range: 47.25–137.50) months of postoperative observation, there were 16 (15.1%) out of 104 cases who finished follow-up reported symptomatic recurrence. On multivariate analysis of derivation cohort, multiple lesions, microscopically positive margin (mPM) and anal sphincter involvement (ASI) were selected into the nomogram. The C-index of the nomogram for predicting recurrence was 0.84 (95% CI 0.77–0.91). The calibration curve for probability of recurrence for 36, 60 and 120 months showed great agreement between prediction by nomogram and actual observation. Furthermore, the AUCs of risk score for 36, 60 and 120 months were 0.89, 0.87 and 0.82 respectively. CONCLUSIONS: PEM is a rare kind of endometriosis and surgery is the primary treatment. Multiple lesions and ASI are independent risk factors for postoperative recurrence, and wide resection with more peripheral tissue could be preferred. The proposed nomogram resulted in effective prognostic prediction for PEM patients receiving surgical excision. In addition, this predictive nomogram needs external data sets to further validate its prognostic accuracy in the future. |
format | Online Article Text |
id | pubmed-9701412 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-97014122022-11-28 Clinical presentation of perineal endometriosis and prognostic nomogram after surgical resection Zhu, Shiyang Gu, Zhiyue Li, Xiaoyan Dai, Yi Shi, Jinghua Leng, Jinhua BMC Womens Health Research Article BACKGROUND: This retrospective study evaluated the clinical features of perineal endometriosis (PEM) and established a prognostic nomogram for recurrence probability in patients treated with surgical resection. METHODS: This study enrolled 130 PEM patients who had received surgical treatment in Peking Union Medical College Hospital (PUMCH) between January 1992 and September 2020. We collected their clinical features and conducted outpatient or telephone follow-up. The predictive nomogram was constructed based on 104 patients who had completed follow-up by July 2021. The Cox proportional hazards regression model was used to evaluate the prognostic effects of multiple clinical parameters on recurrence. 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. Calculating the area under the curve (AUC) via risk scores of patients aimed to further access the predictive power of the model. In addition, the survival curve was depicted using Kaplan–Meier plot and compared by log-rank method. RESULTS: Most PEM patients had been symptomatic for 24–48 months before the lesion resection. With a median 99.00 (interquartile range: 47.25–137.50) months of postoperative observation, there were 16 (15.1%) out of 104 cases who finished follow-up reported symptomatic recurrence. On multivariate analysis of derivation cohort, multiple lesions, microscopically positive margin (mPM) and anal sphincter involvement (ASI) were selected into the nomogram. The C-index of the nomogram for predicting recurrence was 0.84 (95% CI 0.77–0.91). The calibration curve for probability of recurrence for 36, 60 and 120 months showed great agreement between prediction by nomogram and actual observation. Furthermore, the AUCs of risk score for 36, 60 and 120 months were 0.89, 0.87 and 0.82 respectively. CONCLUSIONS: PEM is a rare kind of endometriosis and surgery is the primary treatment. Multiple lesions and ASI are independent risk factors for postoperative recurrence, and wide resection with more peripheral tissue could be preferred. The proposed nomogram resulted in effective prognostic prediction for PEM patients receiving surgical excision. In addition, this predictive nomogram needs external data sets to further validate its prognostic accuracy in the future. BioMed Central 2022-11-26 /pmc/articles/PMC9701412/ /pubmed/36435830 http://dx.doi.org/10.1186/s12905-022-02068-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Zhu, Shiyang Gu, Zhiyue Li, Xiaoyan Dai, Yi Shi, Jinghua Leng, Jinhua Clinical presentation of perineal endometriosis and prognostic nomogram after surgical resection |
title | Clinical presentation of perineal endometriosis and prognostic nomogram after surgical resection |
title_full | Clinical presentation of perineal endometriosis and prognostic nomogram after surgical resection |
title_fullStr | Clinical presentation of perineal endometriosis and prognostic nomogram after surgical resection |
title_full_unstemmed | Clinical presentation of perineal endometriosis and prognostic nomogram after surgical resection |
title_short | Clinical presentation of perineal endometriosis and prognostic nomogram after surgical resection |
title_sort | clinical presentation of perineal endometriosis and prognostic nomogram after surgical resection |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9701412/ https://www.ncbi.nlm.nih.gov/pubmed/36435830 http://dx.doi.org/10.1186/s12905-022-02068-3 |
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