已发表论文

癌症延迟诊断因素的综合分析

 

Authors Hong K, Liu Y, Yin H, Huang K, Pu XL, Zhu ZX

Received 11 April 2024

Accepted for publication 24 August 2024

Published 5 September 2024 Volume 2024:16 Pages 1463—1473

DOI https://doi.org/10.2147/IJWH.S473381

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Everett Magann

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 work

Correspondence: Zhuan-Xu Zhu, Email 13636196733@163.com

Background: 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