Does ethnicity affect survival following colorectal cancer? A prospective, cohort study using Iranian cancer registry

Background: The present study compared the differences between survivals of patients with colorectal cancer according to their ethnicity adjusted for other predictors of survival. Methods: In this prospective cohort study patients were followed up from definite diagnosis of colorectal cancer to death. Totally, 2431 person-year follow-ups were undertaken for 1127 colorectal cancer patients once every six months. The data were analyzed by stata software using bivariate analysis, multivariate analysis, and Cox regression. Results: The age at diagnosis was significantly different between men and women (p < 0.03). 61.2 were male and the rest were female. Most patients were Fars (51.2), followed by Turciks (21.5), Kurds (8.2), and 7.5 Lurs. Of the patients, 75 had a survival of more than 2.72 years, 50 a survival of 5.83 years, and 25 longer than 13.1 years after diagnosis. Risk ratio was significantly different among ethnics (p < 0.05). The variables of ethnicity, being non married, tumor grade, family history of cancer, and smoking were considered as determinants of the patients' survival in Cox regression model. The median survival time in Fars, Kurds, Lurs, Turks and other ethnics was 5.83, 2.44, 5.49, and 8.52 years, respectively. Conclusion: Ethnicity and access to healthcare are predictors of survival of patients with colorectal cancer which may define priorities in controlling cancer and implementing interventional and prevention plans

Wisteria vein mosaic virus detected for the first time in Iran from an unknown host by analysis of aphid vectors

The development of reverse transcription-polymerase chain reaction using degenerate primers against conserved regions of most potyviral genomes enabled sampling of the potyvirome. However, these assays usually involve sampling potential host plants, but identifying infected plants when they are asymptomatic is challenging, and many plants, especially wild ones, contain inhibitors to DNA amplification. We used an alternative approach which utilized aphid vectors and indicator plants to identify potyviruses capable of infecting common bean (Phaseolus vulgaris). Aphids were collected from a range of asymptomatic leguminous weeds and trees in Iran, and transferred to bean seedlings under controlled conditions. Bean plants were tested serologically for potyvirus infections four-weeks post-inoculation. The serological assay and symptomatology together indicated the presence of one potyvirus, and symptomology alone implied the presence of an unidentified virus. The partial genome of the potyvirus, encompassing the complete coat protein gene, was amplified using generic potyvirus primers. Sequence analysis of the amplicon confirmed the presence of an isolate of Wisteria vein mosaic virus (WVMV), a virus species not previously identified from Western Asia. Phylogenetic analyses of available WVMV sequences categorized them into five groups: East Asian-1 to 3, North American and World. The Iranian isolate clustered with those in the World group. Multiple sequence alignment indicated the presence of some genogroup-specific amino acid substitutions among the isolates studied. Chinese isolates were sister groups of other isolates and showed higher nucleotide distances as compared with the others, suggesting a possible Eastern-Asian origin of WVMV, the main region where Wisteria might have originated

Prevalence of hypertension and type 2 diabetes mellitus in patients with colorectal cancer and their median survival time: A cohort study

Background: Type 2 diabetes mellitus (DM) and hypertension are worldwide epidemic. Association between DM and colon cancer was obtained in previous studies. Prevalence of DM and hypertension in the patients with colorectal cancer (CRC) has not been reported in Iran. The present study was aimed to investigate the prevalence of hypertension and type 2 DM and their effect on median survival time in patients with CRC. Materials and Methods: Overall, 2570 individual-year follow-ups were conducted for 1127 patients with CRC. For the diagnosis of type 2 DM, fasting blood sugar test and glycosylated hemoglobin test were used and for hypertension, blood pressure was measured in two turns. The descriptive indices were calculated, and the mean and median survival from CRC diagnosis time was calculated using survival analysis and a comparison among survival times was done through log-rank test. Stata software 12 (Stata Corp. 2011. Stata Statistical Software: Release 12. College Station, TX: Stata Corp LP) was used for data analysis. Results: The prevalence of hypertension and type 2 DM in the patients with CRC was respectively 13.38% (95% confidence interval CI]: 11.1-15.8) and 8.69% (95% CI: 7-10.7). Median survival time in patients with hypertension and DM were 8.52 and 4.9 years. According to log-rank test, no significant difference was observed between the survival time of CRC patients suffering from hypertension and diabetes type 2. Conclusion: The obtained findings in this study indicate that survival time in patients with type 2 DM less than hypertension but two metabolic diseases have the same effect on survival rate of the patients with CRC. Understanding the risk factors for CRC may guide the development of strategies targeted toward its prevention

Regional differences in cancer incidence trend in tehran, Iran: A contextual study on the effect of socioeconomic status at regional level

Background: Cancer is a major public health concern all over the world. The aim of the current study is to demonstrate changing trends of cancer incidence from 2006 to 2009 in Tehran (capital city of Iran) and evaluate the effect of living in different regions according to their median socioeconomic status (SES) on cancer cumulative incidence. Methods: The incident cases were obtainedfromthe population based cancer register of ministry of healthandmedicine in Iran; we examined the annual percent changes (APCs) and overall trends of total cancer incidence across regions in Tehran. The age and sex standardized incidence rates were computed by the direct method. Poisson regression and negative binominal regression model were used to assess the existence of trends across 4 consecutive years, as well as the effect of living in each region, literacy rate, and employment rate across regions on this trend. All the analyses were done by Stata 12.0 software. Results: The findings of this study showed downward and nonlinear trend during 4 years. The age-standardized incidence rate (ASR) was higher in men compared to women in this period. ASRs for overall 4 years were 114 and 101 per 10,0000 men and women, respectively. Average annual percent change based on ASR and regression model for each sex was the same and around -5 and -6, respectively. Incidence rate also differed between districts so that north and center districts had higher incidence than southern parts in both sexes. The lowest rate ratio attributed to district 17 and 18 located in south of Tehran and the highest rate ratio attributed to district 6 for each sex compared to the baseline district 16. Results reported the sharp increase of 59 and 37 in district 6 compared to district 16 in men and women, respectively. Better regional social status increased the risk of cancer among women. Also, the results showed a partially significant interaction with higher decrease in annual trend of cancer rate in socially more deprived regions. Conclusions: The results showeddownwardand nonlinear decreasing trend during 4 years, especially in regions with lower socioeconomic status. Incidence rate also differed between districts so that northern regions had higher incidence than southern regions. Spatio-temporal Analysis of these cancer rates with adjustment for more regional socio-economic characteristicsmaybetter explain the disparities in rate of cancer in different districts across time. © 2018, Cancer Research Center (CRC), Shahid Beheshti University of Medical Sciences

Multi‐objective linear programming with interval coefficients

Purpose The purpose of this paper is to extend a methodology for solving multi‐objective linear programming (MOLP) problems, when the objective functions and constraints coefficients are stated as interval numbers. Design/methodology/approach The approach proposed in this paper for the considered problem is based on the maximization of the sum of membership degrees which are defined for each objective of multi objective problem. These membership degrees are constructed based on the deviation from optimal solutions of individual objectives. Then, the final model based on membership degrees is itself an interval linear programming which can be solved by current methods. Findings The efficiency of the solutions obtained by the proposed method is proved. It is shown that the obtained solution by the proposed method for an interval multi objective problem is Pareto optimal. Research limitations/implications The proposed method can be used in modeling and analyzing of uncertain systems which are modeled in the context of multi objective problems and in which required information is ill defined. Originality/value The paper proposed a novel and well‐defined algorithm to solve the considered problem

DEA with common set of weights based on a multi objective fractional programming problem

Data envelopment analysis operates as a tool to appraise the relative efficiency of a set of homogenous decision making units. DEA allows each DMU to take its optimal weight in comparison to other DMUs while a similar condition is considered for other units. This feature threats the comparability of different units because different weighting schemes are used for different DMUs. In this paper, a model is presented to determine a common set of weights to calculate DMUs efficiency. This model is developed based on a multi objective fractional linear programming model that considers the original DEA's results as ideal solution and seeks a set of common weights to evaluate DMUs and increases the model's discrimination power. A numerical example is solved and the proposed method's results are compared to some previous methods. This Comparison has shown the proposed method's advantages in ranking DMUs

An Integer Grey Goal Programming For Project Time, Cost and Quality Trade-Off

Project management (PM) is one of the prominent fields in business and industry. Every task of an organization can be imagined as a project, being a coordinated set of activities toward a common goal. One important aspect of PM is analysing the information related to the optimum balance among the project’s objectives. Each project is a combination of different activities, being connected to each other and having several success criteria, among which the time, cost and quality of the project completion are more significant, due to their significant effect on obtained results. Accordingly, the time might lead to delay and penalty which means more cost; and cost may be underestimated than real required funds. They both will lead to failure in project management. On the other hand, quality is the final key which confirms the success. The aim of a time-cost-quality trade-off problem (TCQTP) is to select a set of activities and an appropriate execution mode for each activity; the cost and time of the project is minimized while the project quality is maximized. The purpose of this paper is to present a model for TCQTP in which these parameters are approximated by grey numbers. Since there are various modes to accomplish each activity, the trade-off problem is formulated based upon a multi-objective integer grey programming model. Afterwards, a goal programming- based approach is designed to solve this model. The model's results provide a framework for the project manager to manage his/ her project successfully, in acceptable time, with the lowest cost and the highest quality. The main originality of the proposed model is the approximation of time, cost and quality parameters of activities mode with grey numbers and the development of a two phase goal programming- based approach to solve this problem. Ultimately, the proposed model is applied in two different cases and results are illustrated to clarify the outstanding capabilities of the mode

A comparison of the sociodemographic and clinical characteristics of patients referring to a pain clinic with subacute and chronic pain

Objectives: The aim of the present study was to assess and compare the sociodemographic characteristics and clinical features of patients referring to a university hospital�s pain clinic with chronic (� 12 weeks) and subacute pain (< 12 weeks). Methods: In this cross-sectional study, 426 patients were included. Demographic variables including education level, marital and employment status, and risk factors such as obesity, diabetes mellitus, hypertension, cigarette smoking, and opium addiction were recorded. Also, sites of pain, pain quality and associated symptoms, and pain severity were assessed using a numerical rating scale. Each one of these variables was compared between the chronic and subacute pain groups. Results: Of the 426 studied patients, 292 (69) had chronic pain and 134 (31) reported subacute pain. Patients with chronic pain were older and had higher body mass indices. Additionally, self-employment was less frequent among the chronic pain group. The patients with chronic pain had a higher prevalence of addiction. The most commonly reported site of pain in all patients was the lower back (62.4), followed by pain in the leg and foot (39.9), knee (24.4), and hip (18.8). There were no statistically significant differences in pain sites between the two groups, except for knee pain, which was more common among the chronic pain group. The patients with chronic pain had a higher incidence of obscure and persistent pain, while those with subacute pain experienced more night pain. Conclusions: About one-third of the patients referring to the pain clinic had subacute pain. The patients with chronic pain were older and more obese, had a higher prevalence of addiction, had more cases of knee pain, and reported more instances of obscure and persistent pain than those with subacute pain. © 2016, Iranian Society of Regional Anesthesia and Pain Medicine (ISRAPM)

A fuzzy data envelopment analysis approach based on parametric programming

In this paper, a fuzzy version of original data envelopment models, CCR and BCC, is extended and its solution approach is developed. The basic idea of the proposed method is to transform the original DEA model to an equivalent linear parametric programming model, applying the notion of α-cuts. Then, a bi-objective model is constructed which its solution has determined the optimal range of decision making units efficiency. The proposed method can be used both for symmetric and asymmetric fuzzy numbers, while the feasibility of its solution for the original problem is guaranteed. The application of the proposed method is examined in two numerical examples and its results are compared with two current models of fuzzy DEA

Epidemiologic characteristics of orthopedic surgical site infections and under-reporting estimation of registries using capture-recapture analysis

Background: Surgical Site Infections (SSIs) are among the leading causes of the postoperative complications. This study aimed at investigating the epidemiologic characteristics of orthopedic SSIs and estimating the under-reporting of registries using the capture-recapture method. Methods: This study, which was a registry-based, cross-sectional one, was conducted in six educational hospitals in Tehran during a one-year period, from March, 2017 to March, 2018. The data were collected from two hospital registries (National Nosocomial Infection Surveillance System (NNIS) and Health Information Management database (HIM)). First, all orthopedic SSIs registered in these sources were used to perform capture-recapture (N = 503). Second, 202 samples were randomly selected to assess patients` characteristics. Results: Totally, 76.24 of SSIs were detected post-discharge. Staphylococcus aureus (11.38) was the most frequently detected bacterium in orthopedic SSIs. The median time between the detection of a SSI and the discharge was 17 days. The results of a study done on 503 SSIs showed that the coverage of NNIS and HIM was 59.95 and 65.17, respectively. After capture-recapture estimation, it was found that about 221 of orthopedic SSIs were not detected by two sources among six hospitals and the real number of SSIs were estimated to be 623 ± 36.58 (95 CI, 552�695) and under-reporting percentage was 63.32. Conclusion: To recognize the trends of SSIs mortality and morbidity in national level, it is significant to have access to a registry with minimum underestimated data. Therefore, according to the weak coverage of NNIS and HIM among Iranian hospitals, a plan for promoting the national Infection Prevention and Control (IPC) programs and providing updated protocols is recommended. © 2021, The Author(s)