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Diagnostic Added-Value of Serum CA-125 on the IOTA Simple Rules and Derivation of Practical Combined Prediction Models (IOTA SR X CA-125)
Background: This study aimed to evaluate the diagnostic added-value of serum CA-125 to the International Ovarian Tumor Analysis (IOTA) Simple Rules in order to facilitate differentiation between malignant and benign ovarian tumors before surgery. Methods: A secondary analysis of a cross-sectional co...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912113/ https://www.ncbi.nlm.nih.gov/pubmed/33530385 http://dx.doi.org/10.3390/diagnostics11020173 |
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author | Phinyo, Phichayut Patumanond, Jayanton Saenrungmuaeng, Panprapha Chirdchim, Watcharin Pipanmekaporn, Tanyong Tantraworasin, Apichat Tongsong, Theera Tantipalakorn, Charuwan |
author_facet | Phinyo, Phichayut Patumanond, Jayanton Saenrungmuaeng, Panprapha Chirdchim, Watcharin Pipanmekaporn, Tanyong Tantraworasin, Apichat Tongsong, Theera Tantipalakorn, Charuwan |
author_sort | Phinyo, Phichayut |
collection | PubMed |
description | Background: This study aimed to evaluate the diagnostic added-value of serum CA-125 to the International Ovarian Tumor Analysis (IOTA) Simple Rules in order to facilitate differentiation between malignant and benign ovarian tumors before surgery. Methods: A secondary analysis of a cross-sectional cohort of women scheduled for surgery in Maharaj Nakorn Chiang Mai Hospital between April 2010 and March 2018 was carried out. Demographic and clinical data were prospectively collected. Histopathologic diagnosis was used as the reference standard. Logistic regression was used for development of the model. Evaluation of the diagnostic added-value was based on the increment of the area under the receiver operating characteristic curve (AuROC). Results: One hundred and forty-five women (30.3%) out of a total of 479 with adnexal masses had malignant ovarian tumors. The model that included information from the IOTA Simple Rules and serum CA-125 was significantly more superior to the model that used only information from the IOTA Simple Rules (AuROC 0.95 vs. 0.89, p < 0.001 for pre-menopause and AuROC 0.98 vs 0.83, p < 0.001 for post-menopause). Conclusions: The IOTA SR X CA-125 model showed high discriminative ability and is potentially useful as a decision tool for guiding patient referrals to oncologic specialists. |
format | Online Article Text |
id | pubmed-7912113 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79121132021-02-28 Diagnostic Added-Value of Serum CA-125 on the IOTA Simple Rules and Derivation of Practical Combined Prediction Models (IOTA SR X CA-125) Phinyo, Phichayut Patumanond, Jayanton Saenrungmuaeng, Panprapha Chirdchim, Watcharin Pipanmekaporn, Tanyong Tantraworasin, Apichat Tongsong, Theera Tantipalakorn, Charuwan Diagnostics (Basel) Article Background: This study aimed to evaluate the diagnostic added-value of serum CA-125 to the International Ovarian Tumor Analysis (IOTA) Simple Rules in order to facilitate differentiation between malignant and benign ovarian tumors before surgery. Methods: A secondary analysis of a cross-sectional cohort of women scheduled for surgery in Maharaj Nakorn Chiang Mai Hospital between April 2010 and March 2018 was carried out. Demographic and clinical data were prospectively collected. Histopathologic diagnosis was used as the reference standard. Logistic regression was used for development of the model. Evaluation of the diagnostic added-value was based on the increment of the area under the receiver operating characteristic curve (AuROC). Results: One hundred and forty-five women (30.3%) out of a total of 479 with adnexal masses had malignant ovarian tumors. The model that included information from the IOTA Simple Rules and serum CA-125 was significantly more superior to the model that used only information from the IOTA Simple Rules (AuROC 0.95 vs. 0.89, p < 0.001 for pre-menopause and AuROC 0.98 vs 0.83, p < 0.001 for post-menopause). Conclusions: The IOTA SR X CA-125 model showed high discriminative ability and is potentially useful as a decision tool for guiding patient referrals to oncologic specialists. MDPI 2021-01-26 /pmc/articles/PMC7912113/ /pubmed/33530385 http://dx.doi.org/10.3390/diagnostics11020173 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Phinyo, Phichayut Patumanond, Jayanton Saenrungmuaeng, Panprapha Chirdchim, Watcharin Pipanmekaporn, Tanyong Tantraworasin, Apichat Tongsong, Theera Tantipalakorn, Charuwan Diagnostic Added-Value of Serum CA-125 on the IOTA Simple Rules and Derivation of Practical Combined Prediction Models (IOTA SR X CA-125) |
title | Diagnostic Added-Value of Serum CA-125 on the IOTA Simple Rules and Derivation of Practical Combined Prediction Models (IOTA SR X CA-125) |
title_full | Diagnostic Added-Value of Serum CA-125 on the IOTA Simple Rules and Derivation of Practical Combined Prediction Models (IOTA SR X CA-125) |
title_fullStr | Diagnostic Added-Value of Serum CA-125 on the IOTA Simple Rules and Derivation of Practical Combined Prediction Models (IOTA SR X CA-125) |
title_full_unstemmed | Diagnostic Added-Value of Serum CA-125 on the IOTA Simple Rules and Derivation of Practical Combined Prediction Models (IOTA SR X CA-125) |
title_short | Diagnostic Added-Value of Serum CA-125 on the IOTA Simple Rules and Derivation of Practical Combined Prediction Models (IOTA SR X CA-125) |
title_sort | diagnostic added-value of serum ca-125 on the iota simple rules and derivation of practical combined prediction models (iota sr x ca-125) |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7912113/ https://www.ncbi.nlm.nih.gov/pubmed/33530385 http://dx.doi.org/10.3390/diagnostics11020173 |
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