Favorable Lip and Oral Cancer Mortality-to-Incidence Ratios in Countries with High Human Development Index and Expenditures on Health

Sung, Wen‐Wei; Hsu, Yong-Chen; Chen, Dong; Chen, Ying-Ching; Chao, Yu-Chi; Chen, Chih‐Jung

doi:10.3390/ijerph18116012

Cited by 9 publications

(16 citation statements)

References 32 publications

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“…This case fatality rate is higher than that reported from Uruguay [31]. Our results also revealed that the mortality rate of OC is lower than the mortality in the African countries (such as Uganda, South Africa, Egypt, Nigeria, Kenya, Tanzania) and Asian countries [24,[32][33][34]. Among these patients, the compromised patients with fourstage OC, the study deducted that factors, such as education, poor oral hygiene, and religion, were significant predictors of the OC adverse outcome and death.…”

Section: Discussioncontrasting

confidence: 40%

Factors Associated With Oral Cancer Adverse Outcome at the Rwanda Military Hospital, a Retrospective Cross-Sectional Study

Ndayisabye¹,

Ndagijimana²,

Biracyaza³

et al. 2022

Front. Oral. Health

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Oral cancer (OC) is one of the most common cancers that remain global public health concerns in low- and middle-income countries. The epidemiology of OC in Africa endures uncertain. Earlier reports suggested a relatively low incidence of OC among Africans. Acting on behavioral factors and setting early diagnosis and treatments of OC can tremendously reduce morbidity and mortality related to it. This study determined factors associated with the OC adverse outcome and death in the Rwanda Military Hospital. A cross-sectional study was conducted among 311 medical records of patients who consulted in the Oral and Maxilla Facial Department between January 1, 2007 and December 31, 2019. Associated factors were estimated by use of odds ratios (OR) with their 95% confidence intervals (CI) in bivariate and multivariate logistic regression analyses to estimate predictors of an OC adverse outcome and death. Almost three quarters of the participants were from rural areas (n = 229, 73.6%) and alcohol users (n = 247, 79.1%). Concerning primary site infection, 54.02% of the participants had the intra-oral cavity within the past 5 years. Muslims had greater odds to experience an OC adverse outcome and death [aOR = 6.7; 95% CI (3.8–11.9), p < 0.001] than the Catholics. Those with no formal education significantly had greater likelihoods to have an OC adverse outcome and death [aOR = 2.6; 95% CI (1.3–5.3), p = 0.005] than those with higher education or university. Those with primary education had greater likelihoods [aOR = 1.8; 95% CI (1.1–3.1), p = 0.03] to have an OC adverse outcome than those with higher or university education. Those with oral hygiene had less risk to have an OC adverse outcome and death [aOR = 0.2; 95% CI (0.0–0.9), p = 0.039] than their counterparts. Using multi-sectorial approaches, including policy makers, clinicians, and researchers from public and private institutions, may be of an added value to promote clinical research on OC for earning knowledge, contributing to combat risk behaviors and improve the population's information and education on OC prevention.

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Section: Discussioncontrasting

confidence: 40%

Factors Associated With Oral Cancer Adverse Outcome at the Rwanda Military Hospital, a Retrospective Cross-Sectional Study

Ndayisabye¹,

Ndagijimana²,

Biracyaza³

et al. 2022

Front. Oral. Health

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“…This finding is consistent with that of a study on BC epidemiology using MIR proxy from the Global Burden of Disease study data, which found that an inverse correlation was observed between the BC MIR and HDI values, with less developed countries having BC survival statistics ( 17 ). The concept of lower cancer MIR in more developed countries and regions has been examined for several malignancies like colorectal, gastric, prostate, oral cavity, kidney, and liver cancers, all of which indicated the impact of socioeconomic development on improving cancer outcomes from an epidemiological aspect ( 12 , 13 , 16 , 19 , 21 , 24 , 51 ). The findings of this study confirmed most of the studies that used MIR to study cancer care and evaluate healthcare disparities.…”

Section: Discussionmentioning

confidence: 99%

“…The human development index (HDI) is one of the most successful measures of socioeconomic development deployed to compare health disparities in recent years ( 22 , 23 ). In addition, countries with high healthcare expenditure and government investments in healthcare have shown favorable cancer outcomes for various malignancies ( 12 , 16 , 20 , 24 ).…”

Section: Introductionmentioning

confidence: 99%

Patterns of better breast cancer care in countries with higher human development index and healthcare expenditure: Insights from GLOBOCAN 2020

Azadnajafabad

Moghaddam

Mohammadi

et al. 2023

Front. Public Health

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BackgroundThe huge burden of breast cancer (BC) necessitates the profound and accurate knowledge of the most recent cancer epidemiology and quality of care provided. We aimed to evaluate BC epidemiology and quality of care and examine the effects of socioeconomic development and healthcare expenditure on disparities in BC care.MethodsThe results from the GLOBOCAN 2020 study were utilized to extract data on female BC, including incidence and mortality numbers, crude rates, and age-standardized rates [age-standardized incidence rates (ASIRs) and age-standardized mortality rates (ASMRs)]. The mortality-to-incidence ratio (MIR) was calculated for different locations and socioeconomic stratifications to examine disparities in BC care, with higher values reflecting poor quality of care and vice versa. In both descriptive and analytic approaches, the human development index (HDI) and the proportion of current healthcare expenditure (CHE) to gross domestic product (CHE/GDP%) were used to evaluate the values of MIR.ResultsGlobally, 2,261,419 (95% uncertainty interval (UI): 2,244,260–2,278,710) new cases of female BC were diagnosed in 2020, with a crude rate of 58.5/100,000 population, and caused 684,996 (675,493–694,633) deaths, with a crude rate of 17.7. The WHO region with the highest BC ASIR (69.7) was Europe, and the WHO region with the highest ASMR (19.1) was Africa. The very high HDI category had the highest BC ASIR (75.6), and low HDI areas had the highest ASMR (20.1). The overall calculated value of female BC MIR in 2020 was 0.30, with Africa having the highest value (0.48) and the low HDI category (0.53). A strong statistically significant inverse correlation was observed between the MIR and HDI values for countries/territories (Pearson's coefficient = −0.850, p-value < 0.001). A significant moderate inverse correlation was observed between the MIR and CHE/GDP values (Pearson's coefficient = −0.431, p-value < 0.001).ConclusionsThis study highlighted that MIR of BC was higher in less developed areas and less wealthy countries. MIR as an indicator of the quality of care showed that locations with higher healthcare expenditure had better BC care. More focused interventions in developing regions and in those with limited resources are needed to alleviate the burden of BC and resolve disparities in BC care.

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“…From the perspective of sex differences, the disease burden in men was found to be significantly higher than that in women, consistent with the existing research results [ 60 , 61 , 62 , 63 ]. Drinking and smoking are two key risk factors that cannot be ignored [ 64 , 65 , 66 , 67 ]. The contribution of smoking and alcohol use to this cancer in men is much greater.…”

Section: Discussionmentioning

confidence: 99%

Lip and Oral Cavity Cancer Burden and Related Risk Factors in China: Estimates and Forecasts from 1990 to 2049

Zhang

et al. 2022

Healthcare

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Lip and oral cavity cancer is a common malignancy faced by many developing countries, and the disease burden is high in China. This study explored this cancer burden and its risk factors using data from China in the GBD 2019, along with predicting the incidence trends in 2020–2049. Data on age-standardized rates (ASR), incidence, death and disability-adjusted life years (DALY), by sex, age and risk factors were collected from the Institute for Health Metrics and Evaluation (IHME). Joinpoint regression and Age–Period–Cohort (APC) models were selected to analyze the epidemic trend of this cancer in China, and descriptive analysis was used for the time trend and age distribution of risk factors. The Bayesian APC model was selected to foresee the incidence trend in 2020–2049. This cancer burden was found to be in an upward trend in China in 1990–2019. The upward trend was more pronounced among men than among women. These cancer deaths and DALYs are overwhelmingly attributable to smoking and drinking. On APC analysis, the younger generation in China demonstrated a lower cancer risk. In 2049, the incidence of this cancer is projected to be 3.99/100,000, 6.07/100,000, 7.37/100,000, 10.49/100,000, 14.82/100,000, 19.19/100,000, 20.71/100,000, 23.64/100,000, 16.42/100,000 and 9.91/100,000 among those aged 50–54, 55–59, 60–64, 65–69, 70–74, 75–79, 80–84, 85–89, 85–89 and over 95 years, respectively. Disease control policies and early screening should focus on men and the elderly and target different risk factors.

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Favorable Lip and Oral Cancer Mortality-to-Incidence Ratios in Countries with High Human Development Index and Expenditures on Health

Cited by 9 publications

References 32 publications

Factors Associated With Oral Cancer Adverse Outcome at the Rwanda Military Hospital, a Retrospective Cross-Sectional Study

Factors Associated With Oral Cancer Adverse Outcome at the Rwanda Military Hospital, a Retrospective Cross-Sectional Study

Patterns of better breast cancer care in countries with higher human development index and healthcare expenditure: Insights from GLOBOCAN 2020

Lip and Oral Cavity Cancer Burden and Related Risk Factors in China: Estimates and Forecasts from 1990 to 2049

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