Five-year Survival Rate of Prostate Cancer in Iran: Results of the national cancer-registry system during 2010-2015

Background: Prostate Cancer is recognized as the second cause of death due to cancers among men worldwide. Due to the lack of local evidence on the survival rate of patients with prostate cancer, this study aimed to estimate the 5-year survival rate of patients afflicted with this condition in Iran. Materials and Methods:  This study made use of information on 9,772 prostate cancer cases who were registered in the National Cancer Registry during 2010-15. A telephone survey, with a response rate of 35%, was conducted to gather additional information such as death status, demographic characteristics, and clinical profile. Kaplan-Meier estimates was used to estimate five-year survival rates. Results: The overall five-year survival rate of prostate cancer was 82% (95% CI: 80-83%).  Significantly higher five-year survival rates were observed among retired patients (rate: 94%,95%CI: 92-96), patients receiving a combination of radiotherapy and surgery (rate: 92%,95%CI: 89-94), and patients residing in rural areas (rate: 92%, 95%CI: 90-93). Conclusion: We found that various factors such as occupation, area of residence, and the type of medication, may influence on survival rate of prostate cancer. Careful evaluation and understanding of effective factors are required to adopt proper health policies and treatment options. Due to the importance of etiologic and epidemiological data, inclusion of such data into the national registry system for Prostate Cancer is strongly recommended

Epidemiologic findings of the patients who attempted suicide and referred to the Shahid Mohammadi hospital of Bandar Abbass in 2009

Objective: Suicide is the 13th leading cause of death worldwide and is influenced by cultural, psychological and social aspects. The aim of this study was to investigate the epidemiology of suicide in Bandar Abbas in 2009.Methods: In a cross-sectional study in 2009, all suicidal patients who were referred to the emergency room (ER) of Shahid Mohammadi Hospital of Bandar Abbass were enrolled. Fully trained medical interns of the ER first collected demographic data of the suicidal patients. Then the data, including their reason for attempting suicide, how they attempted suicide, previous suicide attempts, history of substance use, and the size of the family, were collected by direct interviewing the patient. The collected data were analyzed using SPSS-16 software.Results: About 405 patients were enrolled in the study consisting 172 men (44.2%) and 226 (55.8%) women. Mean age of the participants was 24.29±5.5 years. Most of the suicidal patients were 18 to 26 years old (64.2%). Thirty-eight percent of the women and 62% of the men were addicts. Eleven patients (2.71%) died, including eight men and three women. The most prevalent method of suicide leading to death was drug toxicity. Conclusion: Teaching problem-solving skills is an important way to control suicide. Identifying the risk groups, paying closer attention to the 18-26 age group, and moral support of the patients with previous unsuccessful suicide attempts might decrease the suicide rate

Mortality rates due to Bladder cancer in Iran during 2001-2007: A national cancer registry-based study

Introduction: Bladder cancer is the ninth common cause of cancers in both sexes worldwide. Nevertheless, little is known about the descriptive and analytic epidemiology of bladder cancer in Iran. The present study aimed to describe the nationwide distribution of death due to bladder cancer in Iran.Methods: This cross-sectional study used data of bladder cancer cases who were registered in the national cancer-registry system by the Ministry of Health and Medical Education during 2001-2007. Age-standardized mortality rates due to bladder cancer were presented according to nine geographic poles across the country.Results: The overall mortality rate of bladder cancer (per 100,000 population) was 2.26 in men and 1.36 in women; while the rates were constantly higher for men across all age groups.  The highest and lowest age-standardized mortality rates in provinces (per 100,000 population) belonged to Mazandaran (6.126) and Tehran (1.112), respectively.Conclusion: Death from bladder cancer seems to increase by age in Iran, mainly among men. This association might be partially due to increased life expectancy, altered high-risk lifestyle behaviors and/or improvement in cancer registration system. Information on the distribution of mortality due to bladder cancer could be useful for local prevention strategies, where specific profile of communities and patients is taken into account.

Epidemiology of Schizophrenia in Bandarabbass in 2009

Objective: Schizophrenia is a harmful disorder with an unknown etiology that causes dysfunction and interferes with work, school and the patient's communications. The prevalence and incidence rate of schizophrenia varies in different countries. The aim of the current study is to investigate the epidemiology of schizophrenia in Bandarabbass in 2009.Methods: This descriptive and retrospective study was conducted in 2009 in Ebnesina Mental Hospital and patients who were diagnosed with schizophrenia according to the DSM-IV criteria were enrolled (198 patients). Then, by using a checklist prepared by a psychiatry specialist, the data was extracted from the medical records. The gathered data was analyzed by SPSS 19 using the descriptive statistics test.Results: The mean age of the 198 participants was 36.5±11.591, and 69.2 percent of them were male and 30.8 percent were female. Also 60.6 percent of the patients were married and 76.8 percent were unemployed. Four percent had diabetes and 3 percent were hypertensive and 84.3 percent didn't have substance use comorbidity. Hallucinations were seen in 45.4 percent of the patients and 60.1 percent experienced delusions. Conclusion: As discussed above, many of the symptoms were different in Bandarabbass and this confirms that race plays a significant role in schizophrenia and its symptoms. Therefore more research must be performed about schizophrenia in different regions. Since the presentation of this disorder varies, unique treatments according to patient’s race might be needed

Correlation between Grades in the Medical Basic Science Course and Scores on the Comprehensive Basic Sciences Exam in Iran

Introduction: Medical students in Iran are required to undertake a Basic Sciences Comprehensive Exam (BSCE) at the end of their BS course in order to progress to the next stage of medical education. BSCE results are widely used to evaluate medical education programs among different medical universities. The aim of this study is to explore the correlation between BSCE results and students’ mean BS course scores.Methods: A cross-sectional study, using secondary data analysis, was carried out in 2007 in Hormozgan University of Medical Sciences (HUMS) in Iran. Data from the 20th BSCE (held in 1998) to the 36th BSCE (held in 2006) was collected. All medical students who took these exams and for whom the mean results of the BS course and the BSCE were available were eligible for inclusion in the study. For each medical student, data were obtained regarding age at the time of participation in BSCE, together with sex, entrance year, zone as categorised by the national quota system, mean BS course scores, BSCE result, duration of BS course (number of semesters) and number of failed semesters. Students whose data was not complete were excluded from the study. Data was analysed by using SPSS 15 (SPSS Inc., Chicago, Illinois, USA) software.Results: 372 students undertook the BSCE during the research study period. Complete data was available for 365 medical students (98.1%). Among the participants, 224 (61.4%) were female and 141 (38.6%) were male. The mean age at the time of sitting the BSCE was 22.01±1.22. Mean BSCE scores were higher among students who had not previously failed a semester and who also finished the BS course within five semesters. Students with higher BS course scores had higher BSCE scores (P=0.000).Conclusions: Students’ BS course scores were found to correlate to BSCE results. Hence it may be prudent to identify medical students with low BS course scores, in order to provide additional educational support to improve their medical knowledge and thereby enhance their performance on the BSCE

Global, regional, and national age-sex-specific mortality and life expectancy, 1950–2017: a systematic analysis for the Global Burden of Disease Study 2017

Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950.Background Assessments of age-specific mortality and life expectancy have been done by the UN Population Division, Department of Economics and Social Affairs (UNPOP), the United States Census Bureau, WHO, and as part of previous iterations of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD). Previous iterations of the GBD used population estimates from UNPOP, which were not derived in a way that was internally consistent with the estimates of the numbers of deaths in the GBD. The present iteration of the GBD, GBD 2017, improves on previous assessments and provides timely estimates of the mortality experience of populations globally. Methods The GBD uses all available data to produce estimates of mortality rates between 1950 and 2017 for 23 age groups, both sexes, and 918 locations, including 195 countries and territories and subnational locations for 16 countries. Data used include vital registration systems, sample registration systems, household surveys (complete birth histories, summary birth histories, sibling histories), censuses (summary birth histories, household deaths), and Demographic Surveillance Sites. In total, this analysis used 8259 data sources. Estimates of the probability of death between birth and the age of 5 years and between ages 15 and 60 years are generated and then input into a model life table system to produce complete life tables for all locations and years. Fatal discontinuities and mortality due to HIV/AIDS are analysed separately and then incorporated into the estimation. We analyse the relationship between age-specific mortality and development status using the Socio-demographic Index, a composite measure based on fertility under the age of 25 years, education, and income. There are four main methodological improvements in GBD 2017 compared with GBD 2016: 622 additional data sources have been incorporated; new estimates of population, generated by the GBD study, are used; statistical methods used in different components of the analysis have been further standardised and improved; and the analysis has been extended backwards in time by two decades to start in 1950

Measuring progress from 1990 to 2017 and projecting attainment to 2030 of the health-related Sustainable Development Goals for 195 countries and territories: a systematic analysis for the Global Burden of Disease Study 2017

Background Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator.Background Efforts to establish the 2015 baseline and monitor early implementation of the UN Sustainable Development Goals (SDGs) highlight both great potential for and threats to improving health by 2030. To fully deliver on the SDG aim of “leaving no one behind”, it is increasingly important to examine the health-related SDGs beyond national-level estimates. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study 2017 (GBD 2017), we measured progress on 41 of 52 health-related SDG indicators and estimated the health-related SDG index for 195 countries and territories for the period 1990–2017, projected indicators to 2030, and analysed global attainment. Methods We measured progress on 41 health-related SDG indicators from 1990 to 2017, an increase of four indicators since GBD 2016 (new indicators were health worker density, sexual violence by non-intimate partners, population census status, and prevalence of physical and sexual violence [reported separately]). We also improved the measurement of several previously reported indicators. We constructed national-level estimates and, for a subset of health-related SDGs, examined indicator-level differences by sex and Socio-demographic Index (SDI) quintile. We also did subnational assessments of performance for selected countries. To construct the health-related SDG index, we transformed the value for each indicator on a scale of 0–100, with 0 as the 2·5th percentile and 100 as the 97·5th percentile of 1000 draws calculated from 1990 to 2030, and took the geometric mean of the scaled indicators by target. To generate projections through 2030, we used a forecasting framework that drew estimates from the broader GBD study and used weighted averages of indicator-specific and country-specific annualised rates of change from 1990 to 2017 to inform future estimates. We assessed attainment of indicators with defined targets in two ways: first, using mean values projected for 2030, and then using the probability of attainment in 2030 calculated from 1000 draws. We also did a global attainment analysis of the feasibility of attaining SDG targets on the basis of past trends. Using 2015 global averages of indicators with defined SDG targets, we calculated the global annualised rates of change required from 2015 to 2030 to meet these targets, and then identified in what percentiles the required global annualised rates of change fell in the distribution of country-level rates of change from 1990 to 2015. We took the mean of these global percentile values across indicators and applied the past rate of change at this mean global percentile to all health-related SDG indicators, irrespective of target definition, to estimate the equivalent 2030 global average value and percentage change from 2015 to 2030 for each indicator

Erratum: Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

Interpretation: By quantifying levels and trends in exposures to risk factors and the resulting disease burden, this assessment offers insight into where past policy and programme efforts might have been successful and highlights current priorities for public health action. Decreases in behavioural, environmental, and occupational risks have largely offset the effects of population growth and ageing, in relation to trends in absolute burden. Conversely, the combination of increasing metabolic risks and population ageing will probably continue to drive the increasing trends in non-communicable diseases at the global level, which presents both a public health challenge and opportunity. We see considerable spatiotemporal heterogeneity in levels of risk exposure and risk-attributable burden. Although levels of development underlie some of this heterogeneity, O/E ratios show risks for which countries are overperforming or underperforming relative to their level of development. As such, these ratios provide a benchmarking tool to help to focus local decision making. Our findings reinforce the importance of both risk exposure monitoring and epidemiological research to assess causal connections between risks and health outcomes, and they highlight the usefulness of the GBD study in synthesising data to draw comprehensive and robust conclusions that help to inform good policy and strategic health planning

Global, regional, and national age-sex-specific mortality for 282 causes of death in 195 countries and territories, 1980-2017 : a systematic analysis for the Global Burden of Disease Study 2017

Background Global development goals increasingly rely on country-specific estimates for benchmarking a nation's progress. To meet this need, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2016 estimated global, regional, national, and, for selected locations, subnational cause-specific mortality beginning in the year 1980. Here we report an update to that study, making use of newly available data and improved methods. GBD 2017 provides a comprehensive assessment of cause-specific mortality for 282 causes in 195 countries and territories from 1980 to 2017. Methods The causes of death database is composed of vital registration (VR), verbal autopsy (VA), registry, survey, police, and surveillance data. GBD 2017 added ten VA studies, 127 country-years of VR data, 502 cancer-registry country-years, and an additional surveillance country-year. Expansions of the GBD cause of death hierarchy resulted in 18 additional causes estimated for GBD 2017. Newly available data led to subnational estimates for five additional countries Ethiopia, Iran, New Zealand, Norway, and Russia. Deaths assigned International Classification of Diseases (ICD) codes for non-specific, implausible, or intermediate causes of death were reassigned to underlying causes by redistribution algorithms that were incorporated into uncertainty estimation. We used statistical modelling tools developed for GBD, including the Cause of Death Ensemble model (CODErn), to generate cause fractions and cause specific death rates for each location, year, age, and sex. Instead of using UN estimates as in previous versions, GBD 2017 independently estimated population size and fertility rate for all locations. Years of life lost (YLLs) were then calculated as the sum of each death multiplied by the standard life expectancy at each age. All rates reported here are age-standardised. Findings At the broadest grouping of causes of death (Level 1), non-communicable diseases (NC Ds) comprised the greatest fraction of deaths, contributing to 73.4% (95% uncertainty interval [UI] 72.5-74.1) of total deaths in 2017, while communicable, maternal, neonatal, and nutritional (CMNN) causes accounted for 186% (17.9-19.6), and injuries 8.0% (7.7-8.2). Total numbers of deaths from NCD causes increased from 2007 to 2017 by 22.7% (21.5-23.9), representing an additional 7.61 million (7. 20-8.01) deaths estimated in 2017 versus 2007. The death rate from NCDs decreased globally by 7.9% (7.08.8). The number of deaths for CMNN causes decreased by 222% (20.0-24.0) and the death rate by 31.8% (30.1-33.3). Total deaths from injuries increased by 2.3% (0-5-4-0) between 2007 and 2017, and the death rate from injuries decreased by 13.7% (12.2-15.1) to 57.9 deaths (55.9-59.2) per 100 000 in 2017. Deaths from substance use disorders also increased, rising from 284 000 deaths (268 000-289 000) globally in 2007 to 352 000 (334 000-363 000) in 2017. Between 2007 and 2017, total deaths from conflict and terrorism increased by 118.0% (88.8-148.6). A greater reduction in total deaths and death rates was observed for some CMNN causes among children younger than 5 years than for older adults, such as a 36.4% (32.2-40.6) reduction in deaths from lower respiratory infections for children younger than 5 years compared with a 33.6% (31.2-36.1) increase in adults older than 70 years. Globally, the number of deaths was greater for men than for women at most ages in 2017, except at ages older than 85 years. Trends in global YLLs reflect an epidemiological transition, with decreases in total YLLs from enteric infections, respirator}, infections and tuberculosis, and maternal and neonatal disorders between 1990 and 2017; these were generally greater in magnitude at the lowest levels of the Socio-demographic Index (SDI). At the same time, there were large increases in YLLs from neoplasms and cardiovascular diseases. YLL rates decreased across the five leading Level 2 causes in all SDI quintiles. The leading causes of YLLs in 1990 neonatal disorders, lower respiratory infections, and diarrhoeal diseases were ranked second, fourth, and fifth, in 2017. Meanwhile, estimated YLLs increased for ischaemic heart disease (ranked first in 2017) and stroke (ranked third), even though YLL rates decreased. Population growth contributed to increased total deaths across the 20 leading Level 2 causes of mortality between 2007 and 2017. Decreases in the cause-specific mortality rate reduced the effect of population growth for all but three causes: substance use disorders, neurological disorders, and skin and subcutaneous diseases. Interpretation Improvements in global health have been unevenly distributed among populations. Deaths due to injuries, substance use disorders, armed conflict and terrorism, neoplasms, and cardiovascular disease are expanding threats to global health. For causes of death such as lower respiratory and enteric infections, more rapid progress occurred for children than for the oldest adults, and there is continuing disparity in mortality rates by sex across age groups. Reductions in the death rate of some common diseases are themselves slowing or have ceased, primarily for NCDs, and the death rate for selected causes has increased in the past decade. Copyright (C) 2018 The Author(s). Published by Elsevier Ltd.Peer reviewe