Identifying Factors Contributing to Delayed Diagnosis of Ovarian Cancer: A Comprehensive Analysis

Bibliographic Details
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
More Details
ISSN:11791411
Published in:International Journal of Women's Health
Language:English