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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Masadah, Rina Maulana, Aries Nelwan, Berti Julian Ghaznawie, Mahmud Miskad, Upik Anderiani Tawali, Suryani Rauf, Syahrul Herman, Bumi |
| Abstract | Background Demographic features, suggestive gynaecological symptoms, and immunohistochemical expression of endometrial β-catenin have a prognostic capacity for endometrial hyperplasia and carcinoma. This study assessed the interaction of all variables and developed risk stratification for endometrial hyperplasia and carcinoma. Methods This cross-sectional study was conducted from January 2023 to July 2023 at two teaching hospitals in Makassar Indonesia. Patients (< 70 years old) with suggestive symptoms of endometrial hyperplasia or carcinoma or being referred with disease code N.85 who underwent curettage and/or surgery for pathology assessment except those receiving radiotherapy, or chemotherapy, presence of another carcinoma, coagulation disorder, and history of anti-inflammatory drug use and unreadable samples. Demographic, and clinical symptoms were collected from medical records. Immunohistochemistry staining using mouse-monoclonal antibodies determined the β-catenin expression (percentage, intensity, and H-score) in endometrial tissues. Ordinal and Binary Logistic regression identified the potential predictors to be included in neural networks and decision tree models of histopathological grading according to the World Health Organization/WHO grading classification. Results Abdominal enlargement was associated with worse pathological grading (adjusted odds ratio/aOR 6.7 95% CI 1.8–24.8). Increasing age (aOR 1.1 95% CI 1.03–1.2) and uterus bleeding (aOR 5.3 95% CI 1.3–21.6) were associated with carcinoma but not with %β-catenin and H-Score. However, adjusted by vaginal bleeding and body mass index, lower %β-catenin (aOR 1.03 95% 1.01–1.05) was associated with non-atypical hyperplasia, as well as H-Score (aOR 1.01 95% CI 1.01–1.02). Neural networks and Decision tree risk stratification showed a sensitivity of 80-94.8% and a specificity of 40.6–60% in differentiating non-atypical from atypical and carcinoma. A cutoff of 55% β-catenin area and H-Score of 110, along with other predictors could distinguish non-atypical samples from atypical and carcinoma. Conclusion Risk stratification based on demographics, clinical symptoms, and β-catenin possesses a good performance in differentiating non-atypical hyperplasia with later stages. |
| Related Links | https://bmcwomenshealth.biomedcentral.com/counter/pdf/10.1186/s12905-023-02790-6.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14726874 |
| DOI | 10.1186/s12905-023-02790-6 |
| Journal | BMC Women's Health |
| Issue Number | 1 |
| Volume Number | 23 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2023-11-27 |
| Access Restriction | Open |
| Subject Keyword | Gynecology Maternal and Child Health Reproductive Medicine β-catenin Endometrial hyperplasia Endometrial carcinoma Gynecological symptoms Immunohistochemistry staining Risk-stratification Neural network Decision Tree |
| Content Type | Text |
| Resource Type | Article |
| Subject | Obstetrics and Gynecology Reproductive Medicine |
| Journal Impact Factor | 2.4/2023 |
| 5-Year Journal Impact Factor | 2.9/2023 |
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