Constructing of predictive model for the surgical effect of patients with cleft lip and palate.
<h4>Objective</h4>To explore effective factors of surgical effect for patients with cleft lip and palate, and to construct the predictive model of surgical effect, which provide reference for improving the effect of cleft lip and palate surgery.<h4>Methods</h4>This study has...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2023-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0286976 |
| _version_ | 1827909191486930944 |
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| author | Na Liu Jingyuan Yang Fang Tan Haijian Zhu |
| author_facet | Na Liu Jingyuan Yang Fang Tan Haijian Zhu |
| author_sort | Na Liu |
| collection | DOAJ |
| description | <h4>Objective</h4>To explore effective factors of surgical effect for patients with cleft lip and palate, and to construct the predictive model of surgical effect, which provide reference for improving the effect of cleft lip and palate surgery.<h4>Methods</h4>This study has been ethically reviewed and approved by the Medical Ethics Committee of Guiyang Stomatological Hospital before the study began.A total of 997 cases of cleft lip and palate surgical treatment in Guiyang Stomatological Hospital from 2015 to 2020 were collected. Logistic regression analysis was used to analyze the factors influencing the surgical outcome, and a score system was established by assigning values to the influencing factors using the nomogram. Data of 110 patients were verified, and decision curve analysis was used to evaluate the predicted results.<h4>Results</h4>Logistic regression analysis showed that the number of surgeries, surgical methods, breast milk, prenatal examination, nutrition during pregnancy and labor intensity during pregnancy were independent risk factors for poor surgical results (all P<0.05). The predictive model was built by including the number of surgeries, surgical methods, breast milk, prenatal examination, nutrition and labor intensity during pregnancy into the predictive scoring system. The critical value was 273, the area under ROC curve (AUC) was 0.733(95%CI:0.704~0.76), the sensitivity was 89.57%, and the specificity was 48.14%.When the external validation data of 110 patients were brought into the score, the AUC of poor diagnostic value reached 74.5%, P<0.05, which was close to the modeling accuracy of 73.3%.<h4>Conclusion</h4>This study constructed a predictive model of surgical effect for patients with cleft lip and palate, which can be used for the clinical prediction of cleft lip and palate patients in Guizhou Province. |
| first_indexed | 2024-03-13T01:33:45Z |
| format | Article |
| id | doaj.art-4235a2ed32784f18aefc31c6be1422e9 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-03-13T01:33:45Z |
| publishDate | 2023-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-4235a2ed32784f18aefc31c6be1422e92023-07-04T05:31:55ZengPublic Library of Science (PLoS)PLoS ONE1932-62032023-01-01186e028697610.1371/journal.pone.0286976Constructing of predictive model for the surgical effect of patients with cleft lip and palate.Na LiuJingyuan YangFang TanHaijian Zhu<h4>Objective</h4>To explore effective factors of surgical effect for patients with cleft lip and palate, and to construct the predictive model of surgical effect, which provide reference for improving the effect of cleft lip and palate surgery.<h4>Methods</h4>This study has been ethically reviewed and approved by the Medical Ethics Committee of Guiyang Stomatological Hospital before the study began.A total of 997 cases of cleft lip and palate surgical treatment in Guiyang Stomatological Hospital from 2015 to 2020 were collected. Logistic regression analysis was used to analyze the factors influencing the surgical outcome, and a score system was established by assigning values to the influencing factors using the nomogram. Data of 110 patients were verified, and decision curve analysis was used to evaluate the predicted results.<h4>Results</h4>Logistic regression analysis showed that the number of surgeries, surgical methods, breast milk, prenatal examination, nutrition during pregnancy and labor intensity during pregnancy were independent risk factors for poor surgical results (all P<0.05). The predictive model was built by including the number of surgeries, surgical methods, breast milk, prenatal examination, nutrition and labor intensity during pregnancy into the predictive scoring system. The critical value was 273, the area under ROC curve (AUC) was 0.733(95%CI:0.704~0.76), the sensitivity was 89.57%, and the specificity was 48.14%.When the external validation data of 110 patients were brought into the score, the AUC of poor diagnostic value reached 74.5%, P<0.05, which was close to the modeling accuracy of 73.3%.<h4>Conclusion</h4>This study constructed a predictive model of surgical effect for patients with cleft lip and palate, which can be used for the clinical prediction of cleft lip and palate patients in Guizhou Province.https://doi.org/10.1371/journal.pone.0286976 |
| spellingShingle | Na Liu Jingyuan Yang Fang Tan Haijian Zhu Constructing of predictive model for the surgical effect of patients with cleft lip and palate. PLoS ONE |
| title | Constructing of predictive model for the surgical effect of patients with cleft lip and palate. |
| title_full | Constructing of predictive model for the surgical effect of patients with cleft lip and palate. |
| title_fullStr | Constructing of predictive model for the surgical effect of patients with cleft lip and palate. |
| title_full_unstemmed | Constructing of predictive model for the surgical effect of patients with cleft lip and palate. |
| title_short | Constructing of predictive model for the surgical effect of patients with cleft lip and palate. |
| title_sort | constructing of predictive model for the surgical effect of patients with cleft lip and palate |
| url | https://doi.org/10.1371/journal.pone.0286976 |
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