Identifying Factors Contributing to Delayed Diagnosis of Ovarian Cancer: A Comprehensive Analysis
| Title: | Identifying Factors Contributing to Delayed Diagnosis of Ovarian Cancer: A Comprehensive Analysis |
|---|---|
| Authors: | Hong K, Liu Y, Yin H, Huang K, Pu XL, Zhu ZX |
| Source: | International Journal of Women's Health, Vol Volume 16, Pp 1463-1473 (2024) |
| Publisher Information: | Dove Medical Press, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Gynecology and obstetrics |
| Subject Terms: | ovarian cancer, delayed diagnosis, disease awareness, emotional barriers, Gynecology and obstetrics, RG1-991 |
| More Details: | Kai Hong,1,* Yan Liu,1,* Hao Yin,2 Ke Huang,2 Xiao-Li Pu,1 Zhuan-Xu Zhu1 1Department of Gynaecology, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, People’s Republic of China; 2Department of Obstetrics, Taihe Hospital, Hubei University of Medicine, Shiyan, Hubei, 442000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Zhuan-Xu Zhu, Email 13636196733@163.comBackground: Ovarian cancer (OC) remains the deadliest gynecologic malignancy worldwide due to delayed diagnosis, recurrence, and drug resistance. This study aimed to identify key factors affecting delayed diagnosis in OC patients.Methods: A retrospective analysis was conducted on OC patients treated at Taihe Hospital, Hubei University of Medicine from June 2023 to September 2023. Patients were categorized based on a three-months cut-off point for delayed diagnosis. Collected data included demographics, tumor incidence, and disease cognition. The analysis of variance and the chi-squared test was used for comparison between groups.Results: The significant differences were found in age, residence, education level, family income, family history of tumor, histology, FIGO stage, and tumor location between groups (P< 0.05). Multifactorial logistic regression analysis identified education level [odds ratio (OR) = 0.606; 95% confidence interval (CI): 0.440, 0.833; P = 0.002], family history of tumor (OR = 0.462; 95% CI: 0.214, 0.997; P = 0.049), emotional barriers (OR = 1.332; 95% CI: 1.081, 1.642; P = 0.007), and practical barriers (OR = 2.964; 95% CI: 2.195, 4.004; P < 0.001) as risk factors for delayed diagnosis of OC.Conclusion: Patient cognition is crucial in OC diagnosis delay. Enhancing public awareness and understanding of OC is essential to eliminate fear and improve early diagnosis.Keywords: ovarian cancer, delayed diagnosis, disease awareness, emotional barriers |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1179-1411 |
| Relation: | https://www.dovepress.com/identifying-factors-contributing-to-delayed-diagnosis-of-ovarian-cance-peer-reviewed-fulltext-article-IJWH; https://doaj.org/toc/1179-1411 |
| Access URL: | https://doaj.org/article/f26db9f4f2a74a05ab32e01835805fb1 |
| Accession Number: | edsdoj.f26db9f4f2a74a05ab32e01835805fb1 |
| Database: | Directory of Open Access Journals |
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