The global burden and associated factors of ovarian cancer in 1990–2019: findings from the Global Burden of Disease Study 2019

Zhang, Shiwen; Chen, Cheng; Lin, Zhiyuan; Xiao, Linzi; Su, Xin; Zheng, Lu; Mu, Ying-jun; Liao, Minqi; Ouyang, Ruiqing; Li, Wanlin; Ma, Junrong; Cai, Jun; Liu, Lu; Wang, Donghong; Zeng, Fangfang; Li, Jun

doi:10.1186/s12889-022-13861-y

Cited by 12 publications

(9 citation statements)

References 44 publications

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“…Although the overall global burden was also on the rise during the same period, the growth rate of OC burden in China was much higher than that in of OC burden indicators in the global level leveled off from 1990 to 2019. This is consistent with the results of a previous study (4), which reported that China has surpassed the United States to rank the first in terms of OC prevalence, mortality and DALYs numbers in the world. Over the past 30 years, the change trend of OC burden varies significantly across different sociodemographic index (SDI) regions.…”

Section: Discussionsupporting

confidence: 93%

“…Therefore, understanding the current situation and future trends of OC burden is critical to develop appropriate prevention and control measures. Although there have been articles describing and assessing trends in the global burden of OC ( 4 , 5 ), there are few comprehensive analyses of OC burden in China. Wang et al has analyzed the disease burden trends of three major gynecological cancers including cervical cancer, endometrial cancer and OC in China, but only the mortality rates were analyzed ( 3 ).…”

Section: Introductionmentioning

confidence: 99%

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Burden of ovarian cancer in China from 1990 to 2030: A systematic analysis and comparison with the global level

Wang

Wang²,

Zhang³

et al. 2023

Front. Public Health

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IntroductionOvarian cancer (OC) is one of the major diseases threatening women's health and life. Estimating the burden trends and risk factors of OC can help develop effective management and prevention measures. However, there is a lack of comprehensive analysis concerning the burden and risk factors of OC in China. In this study, we aimed to assess and predict the burden trends of OC in China from 1990 to 2030, and make a comparison with the global level.MethodsWe extracted prevalence, incidence, mortality, disability-adjusted life years (DALYs), years of life lost (YLLs), and years lived with disability (YLDs) data from the Global Burden of Disease Study 2019 (GBD 2019) and characterized OC burden in China by year and age. OC epidemiological characteristics were interpreted by conducting joinpoint and Bayesian age-period-cohort analysis. We also described risk factors, and predicted OC burden from 2019 to 2030 using Bayesian age-period-cohort model.ResultsIn China, there were about 196,000 cases, 45,000 new cases and 29,000 deaths owing to OC in 2019. The age-standardized rates (ASRs) of prevalence, incidence and mortality have increased by 105.98%, 79.19%, and 58.93% respectively by 1990. In the next decade, OC burden in China will continue to rise with a higher rate than the global level. The OC burden in women under 20 years of age is slowing down, while the burden in women over 40 years of age is getting more severe, especially in postmenopausal and older women. High fasting plasma glucose is the major factor contributing the most to OC burden in China, and high body-mass index has surpassed occupational exposure to asbestos to be the second risk factor. OC burden from 2016 to 2019 in China has increased faster than ever before, indicates an urgent need to develop effective interventions.ConclusionThe burden of OC in China has shown an obvious upward trend in the past 30 years, and the increase rate accelerated significantly in recent 5 years. In the next decade, OC burden in China will continue to rise with a higher rate than the global level. Popularizing screening methods, optimizing the quality of clinical diagnosis and treatment, and promoting healthy lifestyle are critical measures to improve this problem.

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Section: Discussionsupporting

confidence: 93%

Section: Introductionmentioning

confidence: 99%

Burden of ovarian cancer in China from 1990 to 2030: A systematic analysis and comparison with the global level

Wang

Wang²,

Zhang³

et al. 2023

Front. Public Health

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“…Epithelial tumors were the most frequent histological subtype of ovarian cancer in our study. This nding matches with other studies in the literature(26-28, 35,38,[40][41][42].…”

Section: Discussionsupporting

confidence: 92%

Epidemiological and Histopathological Characteristics of Gynecological Cancers in Somalia

Hussein¹,

Omar²,

Hassan³

et al. 2022

Preprint

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Background: Gynecological malignancies are prevalent, with a high mortality rate. The present is the first report from Somalia regarding the epidemiological and histopathological characteristics of gynecological cancers. Methods: This study reviewed all pathology results obtained from gynecologic patients who underwent various procedures and biopsies over seven years. The investigated parameters were sociodemographic features, histopathological characteristics, and management options, including surgical interventions. Results: The prevalence of gynecological cancers in our study was 7.1%. Among 225 cases with histopathologically confirmed primary gynecological malignancies, cervical and endometrial cancers were the most common (n= 137 and 42, 61% and 18.6%), respectively. Squamous cell carcinoma was the most common histologic type in cervical, vaginal and vulvar cancers. All patients diagnosed with cervical cancer had no history of cervical screening. Approximately 70% of the patients presented in the late stages of the disease. More than half (n=28, 67%) of patients with Endometrioid adenocarcinoma have been found to have other comorbidities, including diabetic Mellitus (n=17, 60.7%) and hypertension (n=11, 39.3%). Total abdominal hysterectomy and bilateral salpingo-oophorectomy without pelvic lymphadenectomy were performed in 35/42 patients with endometrial cancer. Conclusions: Cervical carcinoma was the most frequently observed gynecological malignancy during the study period. Majority of our patients presented in the late stages of advanced disease. Lack of adequate knowledge of the disease, poor socioeconomic status, limited resources, and inadequate expertise is believed to be the causes of the late presentation of the patients. Since cervical cancer is a preventable disease, national screening and awareness programs are necessary to reduce the burden of cancer and improve women's health in Somalia.

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“…Its subtypes include serous, mucinous, endometrioid, and clear cell carcinoma. According to the current research point of view, ovarian cancer, especially epithelial type, often has a high degree of pathological and molecular heterogeneity in the middle and late stages of the tumor [5], which is also an important reason for the different responses to treatment schemes [6]. Although nearly 75% of ovarian cancer patients achieve pathological remission after primary tumor reduction surgery and chemotherapy, 40-60% of ovarian cancer patients will eventually relapse [7], which seriously affects the quality of life and life safety of patients.…”

Section: Introductionmentioning

confidence: 99%

Prediction Model of Residual Neural Network for Pathological Confirmed Lymph Node Metastasis of Ovarian Cancer

Yao

Zhang

2022

BioMed Research International

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Purpose. We want to develop a model for predicting lymph node status based on positron emission computed tomography (PET) images of untreated ovarian cancer patients. We use the feature map formed by wavelet transform and the parameters obtained by image segmentation to build the model. The model is expected to help clinicians and provide additional information about what to do with first-visit patients. Materials and Methods. Our study included 224 patients with ovarian cancer. We have chosen two main methods to extract information from images. On the one hand, we segmented the image to extract the parameters to evaluate the clustering effect. On the other hand, we used wavelet transform to extract the image’s texture information to form the image’s feature map. Based on the above two kinds of information, we used residual neural network and support vector machine for modeling. Results. We established a model to predict lymph node metastasis in patients with primary ovarian cancer using PET images. On the training set, our accuracy was 0.8854, AUC: 0.9472, CI: 0.9098-0.9752, sensitivity was 0.9865, and specificity was 0.7952. On the test set, our accuracy was 0.9104, AUC: 0.9259, CI: 0.8417-0.9889, sensitivity was 0.8125, and specificity was 1.0000. Conclusions. We used wavelet transform to process the preoperative medical images of ovarian cancer patients, and the residual neural network can effectively predict the lymph node metastasis of ovarian cancer patients, which is undoubted of great significance for patients’ staging and treatment options.

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The global burden and associated factors of ovarian cancer in 1990–2019: findings from the Global Burden of Disease Study 2019

Cited by 12 publications

References 44 publications

Burden of ovarian cancer in China from 1990 to 2030: A systematic analysis and comparison with the global level

Burden of ovarian cancer in China from 1990 to 2030: A systematic analysis and comparison with the global level

Epidemiological and Histopathological Characteristics of Gynecological Cancers in Somalia

Prediction Model of Residual Neural Network for Pathological Confirmed Lymph Node Metastasis of Ovarian Cancer

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