Dataset Information

Cancer Incidence Characteristic Evolution Based on the National Cancer Registry in Taiwan.

ABSTRACT: Introduction:Taiwan has committed itself to cancer prevention. This study investigates the impact of cancer prevention on cancer incidence in Taiwan. Objective:This study describes the secular trends and present status of cancer incidence in Taiwan during the years of 1988 to 2016. Methods:Age-standardized incidence rates (ASRs), age-specific incidence, and sex ratios for all cancers were calculated using data from the Taiwan Cancer Registry System for the years 1988 to 2016. Results and Conclusions. ASRs of cancer for males increased from 150.93 per 105 individuals in 1988 to 330.03 per 105 individuals in 2016, and, for females, they increased from 124.18 per 105 individuals in 1988 to 269.5 per 105 individuals in 2016. We found that cancer incidence has begun at younger ages and that the rates of cancer incidence are increasing faster. This study shows that the incidence of cancer in males has decreased slightly in recent years, while the incidence of cancer in females has continued to increase. The continuous promotion of health literacy, lifestyle modification, HBV and HPV vaccination, and cancer early screening can improve the effectiveness of cancer prevention.

SUBMITTER: Huang YC

PROVIDER: S-EPMC7396109 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Cancer Incidence Characteristic Evolution Based on the National Cancer Registry in Taiwan.

Huang Yu-Ching YC Chen Yu-Hung YH

Journal of oncology 20200722

<h4>Introduction</h4>Taiwan has committed itself to cancer prevention. This study investigates the impact of cancer prevention on cancer incidence in Taiwan.<h4>Objective</h4>This study describes the secular trends and present status of cancer incidence in Taiwan during the years of 1988 to 2016.<h4>Methods</h4>Age-standardized incidence rates (ASRs), age-specific incidence, and sex ratios for all cancers were calculated using data from the Taiwan Cancer Registry System for the years 1988 to 201 ...[more]

PMID: 32774368

Similar Datasets

Project description:BackgroundThis study aimed to develop a prognostic model to predict the breast cancer-specific survival and overall survival for breast cancer patients in Asia and to demonstrate a significant difference in clinical outcomes between Asian and non-Asian patients.MethodsWe developed our prognostic models by applying a multivariate Cox proportional hazards model to Taiwan Cancer Registry (TCR) data. A data-splitting strategy was used for internal validation, and a multivariable fractional polynomial approach was adopted for prognostic continuous variables. Subjects who were Asian, black, or white in the US-based Surveillance, Epidemiology, and End Results (SEER) database were analyzed for external validation. Model discrimination and calibration were evaluated in both internal and external datasets.ResultsIn the internal validation, both training data and testing data calibrated well and generated good area under the ROC curves (AUC; 0.865 in training data and 0.846 in testing data). In the external validation, although the AUC values were larger than 0.85 in all populations, a lack of model calibration in non-Asian groups revealed that racial differences had a significant impact on the prediction of breast cancer mortality. For the calibration of breast cancer-specific mortality, P values <?0.001 at 1?year and 0.018 at 4?years in whites, and P values ??0.001 at 1 and 2?years and 0.032 at 3?years in blacks, indicated that there were significant differences (P value <?0.05) between the predicted mortality and the observed mortality. Our model generally underestimated the mortality of the black population. In the white population, our model underestimated mortality at 1?year and overestimated it at 4?years. And in the Asian population, all P values >?0.05, indicating predicted mortality and actual mortality at 1 to 4?years were consistent.ConclusionsWe developed and validated a pioneering prognostic model that especially benefits breast cancer patients in Asia. This study can serve as an important reference for breast cancer prediction in the future.

Dataset Information

Cancer Incidence Characteristic Evolution Based on the National Cancer Registry in Taiwan.

Publications

Cancer Incidence Characteristic Evolution Based on the National Cancer Registry in Taiwan.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets