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

Kai Hong,1,&ast; Yan Liu,1,&ast; 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&ast;These authors contributed equally to this workCorrespondence: Zhuan-Xu Zhu, Email [email protected]: 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

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-09-01
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

SHILAP Revista de lepidopterología
Water Quality Monitoring and Analysis
article

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

article en

Abstract

Kai Hong,1,&ast; Yan Liu,1,&ast; 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&ast;These authors contributed equally to this workCorrespondence: Zhuan-Xu Zhu, Email [email protected]: 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

SHILAP Revista de lepidopterología
No poverty
Openalex Percentile: Top 49%
Water Quality Monitoring and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Identifying Factors Contributing to Delayed Diagnosis of Ovarian Cancer: A Comprehensive Analysis · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS