6 research outputs found
Global Incidence and mortality of oesophageal cancer and their correlation with socioeconomic indicators temporal patterns and trends in 41 countries
Oesophageal cancers (adenocarcinomas [AC] and squamous cell carcinomas [SCC]) are characterized by high incidence/mortality in many countries. We aimed to delineate its global incidence and mortality, and studied whether socioeconomic development and its incidence rate were correlated. The age-standardized rates (ASRs) of incidence and mortality of this medical condition in 2012 for 184 nations from the GLOBOCAN database; national databases capturing incidence rates, and the WHO mortality database were examined. Their correlations with two indicators of socioeconomic development were evaluated. Joinpoint regression analysis was used to generate trends. The ratio between the ASR of AC and SCC was strongly correlated with HDI (rβ=β0.535 [men]; rβ=β0.661 [women]) and GDP (rβ=β0.594 [men]; rβ=β0.550 [women], both pβ<β0.001). Countries that reported the largest reduction in incidence in male included Poland (Average Annual Percent Change [AAPC]β=ββ7.1, 95%C.I.β=ββ12,β1.9) and Singapore (AAPCβ=ββ5.8, 95%C.I.β=ββ9.5,β1.9), whereas for women the greatest decline was seen in Singapore (AAPCβ=ββ12.3, 95%C.I.β=ββ17.3,β6.9) and China (AAPCβ=ββ5.6, 95%C.I.β=ββ7.6,β3.4). The Philippines (AAPCβ=β4.3, 95%C.I.β=β2,6.6) and Bulgaria (AAPCβ=β2.8, 95%C.I.β=β0.5,5.1) had a significant mortality increase in men; whilst Columbia (AAPCβ=ββ6.1, 95%C.I.β=ββ7.5,β4.6) and Slovenia (AAPCβ=ββ4.6, 95%C.I.β=ββ7.9,β1.3) reported mortality decline in women. These findings inform individuals at increased risk for primary prevention
Global incidence and mortality for prostate cancer: analysis of temporal patterns and trends in 36 countries
Background:
Prostate cancer (PCa) is a leading cause of mortality and morbidity globally, but its specific geographic patterns and temporal trends are under-researched.
Objective:
To test the hypotheses that PCa incidence is higher and PCa mortality is lower in countries with higher socioeconomic development, and that temporal trends for PCa incidence have increased while mortality has decreased over time.
Design, setting, and participants:
Data on age-standardized incidence and mortality rates in 2012 were retrieved from the GLOBOCAN database. Temporal patterns were assessed for 36 countries using data obtained from Cancer incidence in five continents volumes IβX and the World Health Organization mortality database. Correlations between incidence or mortality rates and socioeconomic indicators (human development index [HDI] and gross domestic product [GDP]) were evaluated.
Outcome measurements and statistical analysis:
The average annual percent change in PCa incidence and mortality in the most recent 10 yr according to join-point regression.
Results and limitations:
Reported PCa incidence rates varied more than 25-fold worldwide in 2012, with the highest incidence rates observed in Micronesia/Polynesia, the USA, and European countries. Mortality rates paralleled the incidence rates except for Africa, where PCa mortality rates were the highest. Countries with higher HDI (rΒ =Β 0.58) and per capita GDP (rΒ =Β 0.62) reported greater incidence rates. According to the most recent 10-yr temporal data available, most countries experienced increases in incidence, with sharp rises in incidence rates in Asia and Northern and Western Europe. A substantial reduction in mortality rates was reported in most countries, except in some Asian countries and Eastern Europe, where mortality increased. Data in regional registries could be underestimated.
Conclusions:
PCa incidence has increased while PCa mortality has decreased in most countries. The reported incidence was higher in countries with higher socioeconomic development.
Patient summary:
The incidence of prostate cancer has shown high variations geographically and over time, with smaller variations in mortality
International incidence and mortality trends of liver cancer: a global profile
We examined the global incidence and mortality rates of liver cancer, and evaluated the association between incidence/mortality and socioeconomic development (Human Development Index [HDI] and Gross Domestic Product [GDP]) using linear regression analysis. The average annual percent change (AAPC) of the trends was evaluated from join-point regression analysis. The global incidence of liver cancer varied widely by nine-fold, and was negatively correlated with HDI (men: rβ=β-0.232, pβ=β0.003; women: rβ=β-0.369, pβ<β0.001) and GDP per capita (men: rβ=β-0.164, pβ=β0.036; women: rβ=β-0.212, pβ=β0.007). Its mortality showed a similarly negative correlation with both indices. The greatest incidence rise in men was observed in Poland (AAPCβ=β17.5, 95% C.I.β=β5.6, 30.9) and Brazil (AAPCβ=β13.2, 95% C.I.β=β5.9, 21.0), whereas Germany (AAPCβ=β6.6, 95% C.Iβ=β2.0, 11.5) and Norway (AAPCβ=β6.5, 95% C.I.β=β3.2, 10.0) had the greatest increase in women. The mortality rates paralleled the incidence rates in most countries. For mortality, Malta (AAPCβ=β11.5, 95% C.I.β=β3.9, 19.8), Australia (AAPCβ=β6.8, 95% C.I.β=β2.2, 11.5) and Norway (APCCβ=β5.6, 95% C.I.β=β2.8, 8.5) reported the biggest increase among men; whilst Australia (AAPCβ=β13.4, 95% C.I.β=β7.8, 19.4) and Singapore (AAPCβ=β7.7, 95% C.I.β=β4.1, 11.5) showed the most prominent rise among women. These epidemiological data identified countries with potentially increasing trends of liver cancer for preventive actions
The adoption of the Reference Framework for diabetes care among primary care physicians in primary care settings: a cross-sectional study
The prevalence of diabetes mellitus has been increasing both globally and locally. Primary care physicians (PCPs) are in a privileged
position to provide first contact and continuing care for diabetic patients. A territory-wide Reference Framework for Diabetes Care for
Adults has been released by the Hong Kong Primary Care Office in 2010, with the aim to further enhance evidence-based and high
quality care for diabetes in the primary care setting through wide adoption of the Reference Framework.
A valid questionnaire survey was conducted among PCPs to evaluate the levels of, and the factors associated with, their adoption
of the Reference Framework.
A total of 414 completed surveys were received with the response rate of 13.0%. The average adoption score was 3.29 (SD 0.51)
out of 4. Approximately 70% of PCPs highly adopted the Reference Framework in their routine practice. Binary logistic regression
analysis showed that the PCPs perceptions on the inclusion of sufficient local information (adjusted odds ratio [aOR]=4.748, 95%CI
1.597β14.115, P=0.005) and reduction of professional autonomy of PCPs (aOR=1.859, 95%CI 1.013β3.411, P=0.045) were
more likely to influence their adoption level of the Reference Framework for diabetes care in daily practices.
The overall level of guideline adoption was found to be relatively high among PCPs for adult diabetes in primary care settings. The
adoption barriers identified in this study should be addressed in the continuous updating of the Reference Framework. Strategies
need to be considered to enhance the guideline adoption and implementation capacity