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Abstract Background Data management related to COVID-19 vaccination in pregnant women is vital to improve the treatment process and to establish preventive programs. Implementing a registry to manage data is an essential part of this process. This study aims to design a national model of the COVID-19 vaccination registry for pregnant women in Iran. Methods The present study is an applied descriptive study conducted in 2021 and 2022 in two stages. In the first stage, the coordinates of the National Registry of COVID-19 vaccination of pregnant women from related references and articles, as well as the comparative study of the National Registry of COVID-19 vaccination of pregnant women in the United States, Canada, and the United Kingdom was done. In the second stage, the preliminary model was designed. The model was validated using the Delphi technique and questionnaire tools and analyzing the data. Results The presented national COVID-19 vaccination registry model of pregnant women’s main components consist of objectives, data sources, structure, minimum data set, standards, and registry processes, all of which received 100% expert consensus. Conclusion The vaccination registry of pregnant women has a major role in managing COVID-19 vaccination data of pregnant women and can be one of the Ministry of Health and Medical Education priorities.

Abstract Introduction Esophageal cancer (EC) is a significant global health problem, with an estimated 7th highest incidence and 6th highest mortality rate. Timely diagnosis and treatment are critical for improving patients’ outcomes, as over 40% of patients with EC are diagnosed after metastasis. Recent advances in machine learning (ML) techniques, particularly in computer vision, have demonstrated promising applications in medical image processing, assisting clinicians in making more accurate and faster diagnostic decisions. Given the significance of early detection of EC, this systematic review aims to summarize and discuss the current state of research on ML-based methods for the early detection of EC. Methods We conducted a comprehensive systematic search of five databases (PubMed, Scopus, Web of Science, Wiley, and IEEE) using search terms such as “ML”, “Deep Learning (DL (“, “Neural Networks (NN)”, “Esophagus”, “EC” and “Early Detection”. After applying inclusion and exclusion criteria, 31 articles were retained for full review. Results The results of this review highlight the potential of ML-based methods in the early detection of EC. The average accuracy of the reviewed methods in the analysis of endoscopic and computed tomography (CT (images of the esophagus was over 89%, indicating a high impact on early detection of EC. Additionally, the highest percentage of clinical images used in the early detection of EC with the use of ML was related to white light imaging (WLI) images. Among all ML techniques, methods based on convolutional neural networks (CNN) achieved higher accuracy and sensitivity in the early detection of EC compared to other methods. Conclusion Our findings suggest that ML methods may improve accuracy in the early detection of EC, potentially supporting radiologists, endoscopists, and pathologists in diagnosis and treatment planning. However, the current literature is limited, and more studies are needed to investigate the clinical applications of these methods in early detection of EC. Furthermore, many studies suffer from class imbalance and biases, highlighting the need for validation of detection algorithms across organizations in longitudinal studies.

Abstract Background Personal Health Records (PHRs) are designed to fulfill the goals of electronic health (eHealth) and empower the individual in the process of self-care. Integrated PHR can improve the quality of care, strengthen the patient-healthcare provider relationship, and reduce healthcare costs. Still, the process of PHR acceptance and use has been slow and mainly hindered by people’s concerns about the security of their personal health information. Thus, the present study aimed to identify the Integrated PHR security requirements and mechanisms. Methods In this applied study, PHR security requirements were identified with a literature review of (library sources, research articles, scientific documents, and reliable websites). The identified requirements were classified, and a questionnaire was developed accordingly. Thirty experts completed the questionnaire in a two-round Delphi technique, and the data were analyzed by descriptive statistics. Results The PHR security requirements were identified and classified into seven dimensions confidentiality, availability, integrity, authentication, authorization, non-repudiation, and right of access, each dimension having certain mechanisms. On average, the experts reached an agreement about the mechanisms of confidentiality (94.67%), availability (96.67%), integrity (93.33%), authentication (100%), authorization (97.78%), non-repudiation (100%), and right of access (90%). Conclusion Integrated PHR security is a requirement for its acceptance and use. To design a useful and reliable integrated PHR, system designers, health policymakers, and healthcare organizations must identify and apply security requirements to guarantee the privacy and confidentiality of data.

Abstract Background Reduced or absence of melanin poses physical, social, and psychological challenges to individuals with albinism. Mobile health (mHealth) applications have the potential to improve the accessibility of information and services while reducing time and costs. This study aimed to develop and evaluate a mHealth application for self-management of albinism. Methods This applied study was conducted in two stages (development and evaluation) in 2022. Initially, the functional requirements were determined, and the conceptual model of the application was then developed using Microsoft Visio 2021. In the second phase, the application was evaluated using the Mobile Application Usability Questionnaire (MAUQ) involving patients with albinism to reflect their views on the usability of the application. Results The key capabilities of the application included: reminders, alerts, educational content, useful links, storage and exchange of images of skin lesions, specialist finder, and notifications for albinism-relevant events. Twenty-one users with albinism participated in the usability testing of the application. The users were predominantly satisfied with the application (5.53 ± 1.10; Max: 7.00). Conclusions The findings of this study suggest that the developed mobile application could assist individuals with albinism to effectively manage their condition by considering the users’ requirements and services that the application should deliver.

Abstract Background Cervical cancer is a common malignant tumor of the female reproductive system and is considered a leading cause of mortality in women worldwide. The analysis of time to event, which is crucial for any clinical research, can be well done with the method of survival prediction. This study aims to systematically investigate the use of machine learning to predict survival in patients with cervical cancer. Method An electronic search of the PubMed, Scopus, and Web of Science databases was performed on October 1, 2022. All articles extracted from the databases were collected in an Excel file and duplicate articles were removed. The articles were screened twice based on the title and the abstract and checked again with the inclusion and exclusion criteria. The main inclusion criterion was machine learning algorithms for predicting cervical cancer survival. The information extracted from the articles included authors, publication year, dataset details, survival type, evaluation criteria, machine learning models, and the algorithm execution method. Results A total of 13 articles were included in this study, most of which were published from 2018 onwards. The most common machine learning models were random forest (6 articles, 46%), logistic regression (4 articles, 30%), support vector machines (3 articles, 23%), ensemble and hybrid learning (3 articles, 23%), and Deep Learning (3 articles, 23%). The number of sample datasets in the study varied between 85 and 14946 patients, and the models were internally validated except for two articles. The area under the curve (AUC) range for overall survival (0.40 to 0.99), disease-free survival (0.56 to 0.88), and progression-free survival (0.67 to 0.81), respectively from (lowest to highest) received. Finally, 15 variables with an effective role in predicting cervical cancer survival were identified. Conclusion Combining heterogeneous multidimensional data with machine learning techniques can play a very influential role in predicting cervical cancer survival. Despite the benefits of machine learning, the problem of interpretability, explainability, and imbalanced datasets is still one of the biggest challenges. Providing machine learning algorithms for survival prediction as a standard requires further studies.

This survey illustrates and investigates the application of polynomial rings over finite fields to generate PRN codes for Global Navigation Satellite System (GNSS) satellites. In GNSS, satellites continually broadcast signals at two or more frequencies, including pseudo-random noise (PRN) codes. Each GNSS satellite has its own PRN code, and due to the unique mathematical properties of PRN codes, all satellites can communicate at the same frequency without interfering with another one. Although PRN code appears to be devoid of any discernible structure, it is composed of a deterministic series of pulses that will repeat itself after its period. The PRN code generator employs two shift registers known as Gold polynomials, and the suitable polynomial is decided by the number of satellites. The approach used in satellites is based on the usage of two primitive polynomials, with the output of the first polynomial being used as input for the second polynomial.

BackgroundBreast cancer (BC) survival prediction can be a helpful tool for identifying important factors selecting the effective treatment reducing mortality rates. This study aims to predict the time-related survival probability of BC patients in different molecular subtypes over 30 years of follow-up.Materials and methodsThis study retrospectively analyzed 3580 patients diagnosed with invasive breast cancer (BC) from 1991 to 2021 in the Cancer Research Center of Shahid Beheshti University of Medical Science. The dataset contained 18 predictor variables and two dependent variables, which referred to the survival status of patients and the time patients survived from diagnosis. Feature importance was performed using the random forest algorithm to identify significant prognostic factors. Time-to-event deep-learning-based models, including Nnet-survival, DeepHit, DeepSurve, NMLTR and Cox-time, were developed using a grid search approach with all variables initially and then with only the most important variables selected from feature importance. The performance metrics used to determine the best-performing model were C-index and IBS. Additionally, the dataset was clustered based on molecular receptor status (i.e., luminal A, luminal B, HER2-enriched, and triple-negative), and the best-performing prediction model was used to estimate survival probability for each molecular subtype.ResultsThe random forest method identified tumor state, age at diagnosis, and lymph node status as the best subset of variables for predicting breast cancer (BC) survival probabilities. All models yielded very close performance, with Nnet-survival (C-index=0.77, IBS=0.13) slightly higher using all 18 variables or the three most important variables. The results showed that the Luminal A had the highest predicted BC survival probabilities, while triple-negative and HER2-enriched had the lowest predicted survival probabilities over time. Additionally, the luminal B subtype followed a similar trend as luminal A for the first five years, after which the predicted survival probability decreased steadily in 10- and 15-year intervals.ConclusionThis study provides valuable insight into the survival probability of patients based on their molecular receptor status, particularly for HER2-positive patients. This information can be used by healthcare providers to make informed decisions regarding the appropriateness of medical interventions for high-risk patients. Future clinical trials should further explore the response of different molecular subtypes to treatment in order to optimize the efficacy of breast cancer treatments.

Abstract Background and Aims Infection with Covid‐19 disease can lead to mortality in a short time. Early prediction of the mortality during an epidemic disease can save patients' lives through taking timely and necessary care interventions. Therefore, predicting the mortality of patients with Covid‐19 using machine learning techniques can be effective in reducing mortality rate in Covid‐19. The aim of this study is to compare four machine‐learning algorithm for predicting mortality in Covid‐19 disease. Methods The data of this study were collected from hospitalized patients with COVID‐19 in five hospitals settings in Tehran (Iran). Database contained 4120 records, about 25% of which belonged to patients who died due to Covid‐19. Each record contained 38 variables. Four machine‐learning techniques, including random forest (RF), regression logistic (RL), gradient boosting tree (GBT), and support vector machine (SVM) were used in modeling. Results GBT model presented higher performance compared to other models (accuracy 70%, sensitivity 77%, specificity 69%, and the ROC area under the curve 0.857). RF, RL, and SVM models with the ROC area under curve 0.836, 0.818, and 0.794 were in the second and third places. Conclusion Considering the combination of multiple influential factors affecting death Covid‐19 can help in early prediction and providing a better care plan. In addition, using different modeling on data can be useful for physician in providing appropriate care.

BackgroundDespite the increasing development of different smartphone apps in the health care domain, most of these apps lack proper evaluation. In fact, with the rapid development of smartphones and wireless communication infrastructure, many health care systems around the world are using these apps to provide health services for people without sufficient scientific efforts to design, develop, and evaluate them. ObjectiveThe objective of this study was to evaluate the usability of CanSelfMan, a self-management app that provides access to reliable information to improve communication between health care providers and children with cancer and their parents/caregivers, facilitating remote monitoring and promoting medication adherence. MethodsWe performed debugging and compatibility tests in a simulated environment to identify possible errors. Then, at the end of the 3-week period of using the app, children with cancer and their parents/caregivers filled out the User Experience Questionnaire (UEQ) to evaluate the usability of the CanSelfMan app and their level of user satisfaction. ResultsDuring the 3 weeks of CanSelfMan use, 270 cases of symptom evaluation and 194 questions were recorded in the system by children and their parents/caregivers and answered by oncologists. After the end of the 3 weeks, 44 users completed the standard UEQ user experience questionnaire. According to the children’s evaluations, attractiveness (mean 1.956, SD 0.547) and efficiency (mean 1.934, SD 0.499) achieved the best mean results compared with novelty (mean 1.711, SD 0.481). Parents/caregivers rated efficiency at a mean of 1.880 (SD 0.316) and attractiveness at a mean of 1.853 (SD 0.331). The lowest mean score was reported for novelty (mean 1.670, SD 0.225). ConclusionsIn this study, we describe the evaluation process of a self-management system to support children with cancer and their families. Based on the feedback and scores obtained from the usability evaluation, it seems that the children and their parents find CanSelfMan to be an interesting and practical idea to provide reliable and updated information on cancer and help them manage the complications of this disease.

Abstract Background and Aim Implementing the diagnostic‐related groups (DRGs) promotes the efficiency of healthcare. Therefore, the present study aimed to identify the challenges facing implementing the DRGs in Iran. Methods The present study is a strategic applied research conducted in two phases. In the first phase, the challenges facing DRGs were extracted through a literature review. Then the collected data is entered into a checklist consisting of five sections including technological, cultural, organizational, strategic, and natural challenges. In the second phase, data were collected by purposive sampling and semistructured interviews with 10 managers of the Medical Services Organization of Tehran, Iran. Data analysis was performed by conventional content analysis using MAXQDA software and descriptive using SPSS software version 19. Results The challenges facing the implementing DGRs from the experts' perspective included technological, organizational, nature, strategic, and cultural in order of priority. The three main fundamental challenges were reported; lack of integrating the DGRs with health information system (70%), frequent changes of management (70%), reducing the quality of care following early patient discharge (60%). Conclusion The results of the present study showed that the DRG system faced with challenges and healthcare officials should apply policies and guidelines to reform the system before changing the reimbursement system in Iran. By considering the leading countries experiences in the nationalizing the DRG system field, the problems and solutions of the system can be identified and aid in the more successful implementation of these systems.

Abstract Introduction and goal to background Due to the importance of segmentation of MRI images in identifying brain tumors, various methods including deep learning have been introduced for automatic brain tumor segmentation. On the other hand, using a combination of methods can improve their performance. Among them is the use of wavelet transform as an auxiliary element in deep networks. The analysis of the requirements of such combinations has been addressed in this study. Method In this developmental study, different wavelet functions were used to compress brain MRI images and finally as an auxiliary element in improving the performance of the convolutional neural network in brain tumor segmentation. Results Based on the results of the tests performed, the Daubechies1 function was most effective in enhancing network performance in segmenting MRI images and was able to balance the performance and computational overload. Conclusion Choosing the wavelet function to optimize the performance of a convolutional neural network should be based on the requirements of the problem, also taking into account some considerations such as computational load, processing time, and performance of the wavelet function in optimizing CNN output in the intended task.

Objectives: The health information governance (HIG) program is an extensive organizational framework for information management across its lifecycle. This program is important as a strategy for the materialization of high-quality care for individuals, social health, and the reduction of the costs of care and the reliability of health information. Considering the spectrum of this program in pioneering countries, the current review aimed to study the HIG program in the selected countries. Methods: This review article was conducted in 2017 by searching for relevant English language articles in PubMed, Scopus, ScienceDirect, and Google Scholar databases, along with the websites of relevant organizations such as Infoway and the American Health Information Management Association. The key terms included, but were not restricted to, ‘health information governance program’, ‘health information management’, and ‘health information governance components’. Finally, the data were analyzed with respect to the aim of the study. Results: The components of the HIG program, which are classified into 18 main groups, are the principles of this program including nine dimensions of accountability, goal, transparency, integrity, satisfaction with collection and disclosure, protection, compliance, availability, along with retention and disposition. Some officials and legal and natural roles are common among the three countries while some others are specific for each country. Conclusions: Considering the results of the present study, it is suggested that a strong governance structure together with the policies and regulations of health information technology should be taken into consideration in establishing a HIG program. By developing such a program at a national level, new roles are required to facilitate the implementation of the program.

BackgroundThe unique features of smartphones have extended their use in different fields, especially in the health care domain. These features offer new opportunities to support patients with chronic conditions by providing them with information, education, and self-management skills. We developed a digital self-management system to support children with cancer and their caregivers in Iran (low- and middle-income country). ObjectiveThis study is aimed at the development and preliminary evaluation of a cancer self-management system (CanSelfMan) tailored to the needs of children with cancer and their parents or caregivers. MethodsThis study was conducted in collaboration with a multidisciplinary team between January and February 2020 at MAHAK’s Pediatric Cancer Treatment and Research Center. We developed a self-management system in six stages: requirement analysis, conformity assessment, preparation of educational content, app prototyping, preliminary evaluation, and developing the final version. ResultsA total of 35 people (n=24, 69% parents and n=11, 31% children) volunteered to participate in the study. However, only 63% (15/24) of parents and 73% (8/11) of children were eligible to participate. By adopting a user-centered design approach, we developed a mobile app, CanSelfMan, that includes five main modules (knowledge base, self-management tips, self-assessment report, ask a question, and reminders) that provide access to reliable information about acute lymphocytic leukemia and the self-management skills required for side effect measurement and reporting. A web-based dashboard was also developed for oncologists and included a dashboard to monitor users’ symptoms and answer their questions. ConclusionsThe CanSelfMan app can support these groups by providing access to reliable information about cancer, facilitating communication between children or parents and health care providers, and helping promote medication adherence through a reminder function. The active participation of the target group can help identify their needs. Therefore, through the involvement of stakeholders such as patients, caregivers, and oncologists in the design process, we improved usability and ensured that the final product was useful. This app is now ready to proceed with feasibility studies.

Introduction: Chronic respiratory diseases are one of the four main groups of non-communicable diseases. People with these diseases need access to data to manage their disease and care plan. Personal health record (PHR) as a powerful health information technology tool can empower chronic patients to better manage their health status and become an active member of health care teams. This study is to determine the minimum data set (MDS) in personal health record for patients with chronic respiratory diseases. Materials and Method: This present applied research was done descriptively by Delphi method. First, the data sets of chronic respiratory diseases were extracted using a literature review. Then, using a researcher-made questionnaire and based on Delphi technique in two phases, it was evaluated by 5 pulmonologists. Results: The PHR data set for chronic respiratory diseases was classified into six categories, including physical examination and clinical observation, laboratory data, medications, specialized treatments, diagnostic procedures and vaccination. The 33 data element were identified as the main data elements with an agreement of more than 80% in the first phase of Delphi technique. Also, in the second phase, the four data elements proposed by the experts in the first phase were agreed upon above 80%. Conclusion: Given the role of PHR data in tracking the progress of chronic diseases, treating, and teamwork by physicians and other care providers, determining the minimum data set will be an effective step toward integrating and improving information management in these patients.

Background and purpose: Thalassemia is a preventable genetic disorder that is a major health problem. It is now two decades since implementation of the national program for preventing β-thalassemia major in Iran. This study was conducted to compare the costs and results of this program from 2010 to 2014 in Mazandaran University of Medical Sciences. Materials and methods: Economic evaluation was done in this descriptive analytic study. We extracted the data from surveillance reports of health deputy and costs of laboratory services from the private and public sectors and Legal Medicine Organization tariffs. Other cost items were determined using published reports and articles, and interviewing the administrators and researchers. All costs were calculated in Excel 2007 based on the economic value of 2014. Results: The total direct costs of medical services, direct non-medical and non-medical direct costs of implementation of national program for preventing β-thalassemia major in one year were over 18,418,872,744 Rials. The average cost of prevention of a β-thalassemia major birth case was estimated to be be 341,090,236 Rials. The cost ratio of prevention to treatment was 1:12. Five-year implementation of the national program prevented 270 babies born with thalassemia. The success rate of this program was 95% in Mazandaran. Conclusion: Cost benefit analysis showed that the national program for preventing β-thalassemia major was efficient and economically valuable in Mazandaran province.

Hypertension is a chronic condition, and a major risk factor for other chronic conditions requires management. Considering the growth and extensive use of mobile health (mHealth) technologies and their capabilities, it is essential to examine the effects of these technologies on hypertension control and self-management. The present systematic review examined the effect of using mHealth technologies in controlling blood pressure and investigated the functionalities of mHealth technology on self-management aspects of patients with hypertension. A systematic search was conducted on PubMed, Web of Science, Embase, and Scopus databases. Clinical trials in English investigating the use of mHealth technologies for blood pressure control published from 2005 to 2018 were included in this study. The functionalities of these technologies were also investigated. These functionalities were divided into five categories of monitoring, alarms, feedbacks, education, and communication. The most frequently used technology for hypertension control was smartphones in the 15 articles examined. Moreover, the most frequent functionalities used for self-management of hypertension were communications and reminders, education, monitoring, and feedback, respectively. In the majority of the studies, these functionalities were employed in combination with mHealth technologies, a feature that affects hypertension control and self-management. The use of mHealth technologies, such as smartphones, positively affects hypertension self-management and reduces blood pressure. Functionalities such as communication and reminders, education, monitoring, and feedback are effective in hypertension self-management programs. The simultaneous use of these functionalities combined will be more effective in hypertension self-management programs.

Background: The information content of medical tourism websites could influence the decisions patients and their families make regarding medical centers. This study aimed to investigate the information content of medical tourism websites. Methods: This systematic review was carried out in 2017. Key terms used for searching consisted of, but not restricted to, medical tourism, information content, information needs, and medical tourism website. The terms were searched on PubMed, Science Direct, Web of Science, Embase, ProQuest and Cochrane. One hundred and ninety-two articles out of 1185 retrieved were duplicated and removed from the study. Titles and abstracts of the remaining identified studies were scanned considering the aim of the study. Finally, 31 relevant studies were included in the study. Results: The information content of medical tourism websites can be grouped into three main categories including general information (with six subgroups), medical information (with eight subgroups) and tourism information (with one subgroup). The subgroups include information about medical centers, target country, costs and insurance, contact details, website information, photo galleries, the quality of services, trustworthiness, the quality of supportive services, risks, patient rights, physicians and their specialties, and patient instructions for receiving medical and tourism services. Conclusion: The medical tourism websites should provide a wide range of information. Considering the important role of medical tourism websites in meeting patients’ information needs, the relevant bodies should improve the information content of medical tourism websites to help patients to make their decisions reliably.

Introduction: Mobile health is the use of mobile and wireless technologies for health-related goals. To this end, various mobile applications have been created in different medical fields. The goal of this study was subject categorization of mobile health applications in Iran and to find their priority according to physicians. Methods: This was a descriptive study. The study population consisted of all Iran mobile applications and also specialized physicians from Iran University of Medical Sciences, Shahid Beheshti and Tehran universities of medical sciences. First, mobile health applications in Iran were investigated and categorized based on their subject area and then their priority from the perspectives of physicians was determined using a researcher-made questionnaire. Results: Based on the application and physicians views, mobile health applications were divided into 21 categories of prevention, diagnosis and treatment, general and plastic surgery, medical tests, medical calculations, radiology, nursing, psychology, self-care, medical education, anatomy and atlases, medical informatics, medicine and pharmacy, rehabilitation, glossary and abbreviations, journals, medical ethics and rights, consultation, emergency and relief, social harm and traditional medicine. Conclusion: It is necessary that developers of mobile health software consider the identified priorities in developing applications in order to make physicians and general users more willing to use mobile health services.

Complications of hiatal hernia are potentially lethal, and surgical intervention is necessary. This matter is more important in cases that have ambiguous symptoms and are diagnosed with a delay. Such patients may experience life-threatening course and events. Accordingly, in this report, a 23-year-old male patient with unusual findings is presented. A 23-year-old male patient with acute dyspnea and fever was admitted in infectious disease ward with diagnosis of empyema according to chest radiography and CT-scan findings (Figures 1 and 2). On physical examinations the right lung sounds were normal, and the left lung sounds could not be heard. Then a gastrography was performed because of suspicion to hiatal hernia based on physical examination findings showing the presence of stomach in the thorax (Figure 3). In the surgery, the stomach and the transverse colon were released and reputed in the abdomen (Figure 4). The diaphragm was primarily repaired due to small defect, and the patient was discharged after 4-5 days with good general conditions. This case had a learning note that in the case of acute dyspnea with a positive history of stab wound to the chest, hiatal hernia should be considered as an important diagnosis and in these cases performing a gastrography would help physicians to make true and certain diagnosis and therapeutic decision.

Recombinant human erythropoietin (rHuEPO) is available for correcting anemia. PDpoetin, a new brand of rHuEPO, has been certified by Food and Drug Department of Ministry of Health and Medical Education of Iran for clinical use in patients with chronic kidney disease. We conducted this post-marketing survey to further evaluate the safety and efficacy of PDpoetin for management of anemia in patients on maintenance hemodialysis. Patients from 4 centers in Iran were enrolled for this multicenter, open-label, uncontrolled phase IV clinical trial. Changes in blood chemistry, hemoglobin and hematocrit levels, renal function, and other characteristics of the patients were recorded for 4 months; 501 of the patients recruited, completed this study. Mean age of the patients was 50.9 (±16.2) years. 48.7% of patients were female. Mean of the hemoglobin value in all of the 4 centers was 9.29 (±1.43) g/dL at beginning of the study and reached 10.96 (±2.23) g/dL after 4 months and showed significant increase overall (P

Wine is an old and rich symbol in Persian literature which has dedicated itself a wide range of conflicting thoughts. This symbol in Iranian culture allows the addressee to have a materialistic or spiritual understanding of it according to his or her suspicion and character. This research seeks to select the common Rubaiyat among three Arab translators about wine and vinosity and compare the translators’ understandings about wine. Invitation to drinking is chosen because wine in Khayyam Rubaiyat is the symbol for seizing time and it is considered as an image of thought and the main theme for the poet. How did the translator react to joyfulness and invitation to drink wine by Khayyam? What effects do the taste and ideology of the translator have in rendering this motif in Khayyam poetry in Arabic, and what intricacies are followed by their translations? This research is limited to three translations of Ebrahim Qoreyz, Ahmad Safi and Ahmad Najafi. Each translator employing strategies such as a stipulation, omission, and refined thought has conveyed his interpretation and has placed his character and emotion in the target language during the process of transmission. This happens because the translator cannot translate free of his character even in literal translations. The research method used in this paper is descriptive-analytic with a lexical approach.

The emergence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in 2020, which has a substantial structural similarity to severe acute respiratory syndrome coronavirus (SARS-CoV) that caused the outbreak in 2003, is currently a threat to global health. Lung involvement is the principal clinical feature in infected patients but extra-pulmonary clinical presentations are also common. The reasons for the extensive involvement of other organs are not yet clear. Angiotensin-converting enzyme 2 (ACE2), the key peptide of renin–angiotensin system (RAS), has recently identified as a major receptor for the both SARS-CoV and SARS-CoV-2 that might be a main target of coronavirus infection. ACE2 is mainly expressed in the pulmonary pneumocytes, the small intestine enterocytes as well as the proximal tubule epithelial cells of the kidneys. In addition to the respiratory tract infection symptoms, the noticeable prevalence of gastrointestinal symptoms as well as kidney impairment in hospitalized infected patients highlights other routes of infection/transmission. In present review, we discussed the role of RAS with emphasis on ACE2 in the pathogenesis of SARS-CoV and SARS-CoV-2, particularly in gastrointestinal and kidney manifestations of the diseases. [ABSTRACT FROM AUTHOR]

One of the important reasons for accidents is sleepiness. With this description, the sleep disorders are associated with health and mortality, and not only affect the person but also the family and the whole society. Aim of this study was assessing of relationship between Sleep Quality, Obstructive sleep Apnea and Sleepiness during day with related factors in professional drivers. This was a cross-sectional study measuring correlation between sleep quality questionnaire (Pittsburgh Sleep Quality Index or PSQI), Epworth Sleepiness Scale (ESS) and Stop Bang questionnaire (STOP BANG), the appropriate sample size to achieve a 95% confidence level was 943 people. The study population was chosen among qualified drivers using a convenience sampling method that took place over 12 months duration. Exclusion criterion consisted of the presence of a physical or mental disability. Data analyzed by software SPSS, version 15. In this study, all drivers were men with mean of age 36±9/5 year (minimum 22 year and maximum 72 year), 799 (84.7%) were married, 535 (56.7%) had high school education. Also, 96.4 % of drivers had undesirable sleep quality, 25.8% obstructive sleep apnea and 6.8% abnormal sleepiness during day. Multiple linear regression test showed, Score of STOP-Bang was correlated with smoking (OR (β)=0/2, P=0.006) and history of hurt disease (OR (β)=0.95, P=0.003), shift work (OR (β)=0.19, P=0.006) more probability. Moreover, PSQI was statistically significant with shift work (OR (β)=0.44, P=0.02), smoking (OR (β)=0.98, P=0.001), history of pulmonary disease (OR (β)=3.58, P=0.009) more probability, and ESS was statistically significant with smoking (OR (β)=0.64, P=0.007) and history of pulmonary disease(OR (β)=2.82, P=0.006), shift work (OR (β)=0.59, P=0.008) more probability. In our study, according to the results, it should be planning to reduce the driving time in day and night and also it are recommended short breaks during driving. It is suggested the more widespread and prospective studies, as well as informing the drivers about the benefits of proper sleep and annual checkup drivers of health. [ABSTRACT FROM AUTHOR]

Breast cancer (BC) and colorectal cancer (CRC) are among the most common cancers in Iran. We aimed to develop a risk assessment model to predict the development of cardiovascular events in these patients by performing a 5 year prospective cohort study on a newly diagnosed patients with BC or CRC before they receive any treatment. A multi-center prospective cohort study of 2700 newly diagnosed BC and CRC patients has been started in Iran since 2019 and will be continued until 2024. Demographics, socioeconomic status, life style behaviors, psychological characteristics and type of cancer treatments will be collected by standard questionnaires and blood pressure, obesity indices will be measured. Blood sampling, ECG, and echocardiography will be done in all patients at base line, 6 and 12 months, then at annual basis for five years. Incidence of heart failure, acute coronary syndrome, stroke and CVD related death are the primary outcome of this study. In this preliminary analysis, 70 patients with BC and 30 patients with CRC were enrolled in this study from April 2019 to November 2019. Mean age of BC and CRC patients was 48 ± 10.5 and 61 ± 13.2 respectively. 98.6% of patients in BC group and 60% of CRC groups were female. This study will be a platform for other cancers to develop CVD risk assessment charts that can cover other cancers. Patients who lie in the high risk category according to the newly developed risk assessment chart, should receive special management and preventive interventions. [ABSTRACT FROM AUTHOR]

We did this systematic review to determine diagnostic accuracy of sono-elastography in evaluating cervical lymph nodes (LNs). A highly sensitive search for sono-elastography and LNs was performed in MEDLINE, Cochrane Library, ACP Journal Club, EMBASE, Health Technology assessment, and ISI web of knowledge for studies published prior to December 2012. SPSS version 18 (SPSS Inc., Chicago, IL, USA) used for descriptive analysis and meta-disk version 1.4 applied for meta-analysis. Forest plots for pooled estimates and summery of receiver operating characteristic plots for different cut-offs were produced. The literature and manual search yielded 69 articles, of which 10 were eligible to include. A total of 578 individuals with a total number of 936 cervical LNs was evaluated (502 malignant and 434 benign). The summary sensitivity of the scoring and strain ratio (SR) measurements for the differentiation of benign and malignant LNs were 0.76 (95% CI: 0.71-0.8) and 0.83 (95% CI: 0.78-0.87). The summary specificities were 0.8 (95% confidence interval [CI]: 0.75-0.84) and 0.84 (95% CI: 0.79-0.88), respectively. Area under the curve for scoring system was 0.86 (standard error [SE] = 0.03) and 0.95 (SE = 0.02) for SR measurement. Sono-elastograohy has high accuracy in differentiating benign and malignant cervical LNs. [ABSTRACT FROM AUTHOR]

Complications of hiatal hernia are potentially lethal, and surgical intervention is necessary. This matter is more important in cases that have ambiguous symptoms and are diagnosed with a delay. Such patients may experience life-threatening course and events. Accordingly, in this report, a 23-year-old male patient with unusual findings is presented. A 23-year-old male patient with acute dyspnea and fever was admitted in infectious disease ward with diagnosis of empyema according to chest radiography and CT-scan findings (Figures 1 and 2). On physical examinations the right lung sounds were normal, and the left lung sounds could not be heard. Then a gastrography was performed because of suspicion to hiatal hernia based on physical examination findings showing the presence of stomach in the thorax (Figure 3). In the surgery, the stomach and the transverse colon were released and reputed in the abdomen (Figure 4). The diaphragm was primarily repaired due to small defect, and the patient was discharged after 4-5 days with good general conditions. This case had a learning note that in the case of acute dyspnea with a positive history of stab wound to the chest, hiatal hernia should be considered as an important diagnosis and in these cases performing a gastrography would help physicians to make true and certain diagnosis and therapeutic decision. [ABSTRACT FROM AUTHOR]

Background: Nutritional status influences bone health spinal cord injury (SCI). This study evaluates serum levels of 25‑hydroxy‑vitamin‑D and calcium along with dietary intakes in patients with chronic SCI. Materials and Methods: Total of 160 patients participated in this investigation. Dietary intakes were assessed by semi‑quantitative food‑frequency questionnaire. Serum calcium, phosphorus and 25(OH)‑vitamin‑D level were measured. Results: Mean of serum calcium and 25(OH)‑vitamin‑D were 9.54 ± 0.64 mg/dl (standard error of the mean [SE]: 0.05) and 13.6 ± 10.99 μg/dl (SE: 0.9), respectively. Dairy intake was below recommended amount (1.8 ± 0.74 per serving (SE: 0.06), recommended: 4). A high prevalence (53.1%) of Vitamin D deficiency (25(OH) Vitamin D <13 ng/ml) was found. Conclusion: This study shows below adequate intake of calcium and Vitamin D in Iranian patients with SCI. These results insist on the importance of dietary modifications among these patients. [ABSTRACT FROM AUTHOR]

Purpose. The association between serum lipids and bone mineral density (BMD) has been investigated previously but, up to now, these relationships have not yet been described in spinal cord injury (SCI). We tried to assess the correlation between serum triglyceride (TG), total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) and BMD in male subjects with SCI. Methods. Dual-energy X-ray absorptiometry (DXA) was used to assess BMD in femoral neck, trochanter, intertrochanteric zone, and lumbar vertebras. Blood samples were taken to measure serums lipids and bone biomarkers including osteocalcin, cross-linked type I collagen (CTX), and bone alkaline phosphatase (BALP). Partial correlation analysis was used to evaluate the relationships between mentioned measurements after adjustment for weight and age. Results. We found a positive correlation between HDL and femoral neck BMD (P: 0.004, r = 0.33). HDL was negatively correlated with osteocalcin (P: 0.017, r = -0.31) which was not in consistency with its relationship with BMD. TC and LDL were not related to CTX, BALP and BMD. Conclusion. This study does not support a strong association between serum lipids and BMD in subjects with SCI. Moreover it seems that positive association between HDL and BMD is not mediated through increased bone formation. [ABSTRACT FROM AUTHOR]

Background: Helicobacter pylori is the most common microorganism which colonizes in gastrointestinal system. There are different methods for diagnosis of infection such as rapid stool antigen, urea breath and serology tests. The purpose of this study was comparing the cost and effectiveness of these methods. Methods: 94 dyspeptic patients with mean age of 46 ± 14 years, were evaluated. The patients were considered infected when the results of 2 tests (rapid stool antigen test, urea breath test, rapid urease test and histology) was positive. Findings: Accuracy of rapid stool antigen test was 91%, urea breath test was 82% and serology was 52%. Conclusion: As the cost of stool antigen test was minimum, it is concluded that rapid stool antigen test is more cost-benefit, accurate and reliable test for diagnosis of helicobacter pylori compared with urea breath test and serology. [ABSTRACT FROM AUTHOR]

One of the most important occupational tensions a physician encounters in his/her practice is the complaints lodged against him/her by the patients. The purpose of this study is examining the complaints against physicians and dentists entering the Medical Council Organization of Tehran in the years ending on 20 March 1992, 20 March 1997 and 20 March 2002 from the viewpoint of number, dispersion and inducing factors. The present study was performed as a descriptive and retrospective one with the aid of a questionnaire containing concerned data. Filling in the questionnaire or studying the file was accomplished by a trustee expert of the Medical Council Organization and the data obtained were analyzed after classification. During a 3-year period, 832 complaints were lodged against physicians and dentists. The complaints against physicians in the years ending on 20 March 1997 and 20 March 2002 were 70% more than that in the year ending on 20 March 1992. 83.1% of the physicians and dentists of Tehran that were sued had not been convicted until the date of the performance of the study, on the basis of the contents of the files, and had no malpractice from the vantage point of the Medical Council Organization. The most common causes of complaints from the viewpoint of complainers were therapeutic errors (38%), neglect (30.2%), financial affairs (25.4%) and the physicians' lack of skill (17.7%). On the basis of this study, with the increase of the doctor's practice track record and experience more than 15-20 years, the number of the complaints decreases and most of the complaints are against the middle-aged doctors/dentists with 10-20 years of experience. Most physicians and dentists of Tehran having been sued have not committed any wrong from the vantage point of the Medical Council Organization experts and a large part of the complaints are a consequence of doctor-patient inconvenient interactions. A behavior based on professional commitment of the physician/dentist vis-à-vis the patient can hinder a major part of complaints. [ABSTRACT FROM AUTHOR]

Introduction: Psychosomatic diseases disrupt patients’ mental order, leading to chronic psychological injuries. Consequently, this study aimed to investigate the mediating role of health-promoting behaviors in the relationship between perceived stress and sense of coherence with psychosocial adaptation to the disease in patients with irritable bowel syndrome (IBS).Methods: The research method was descriptive-correlational and utilized Structural Equation Modeling. The study’s statistical population included patients with IBS referred to therapy centers and gastroenterologists in Isfahan in the autumn and winter of 2020-21. The statistical population comprised 340 patients with IBS, selected using a convenient sampling method. The applied instruments included the Psycho-Social Adaptation to Disease Scale (PSADS), Perceived Stress Scale (PSS) Sense of Coherence Questionnaire (SCQ) and Health Promoting Behaviors Questionnaire (HPBQ). Data analysis was conducted via Structural Equation Modeling and Bootstrap test using SPSS23 and AMOS23 statistical software.Results: The results showed that perceived stress, sense of coherence, and health-promoting behaviors directly affect psychosocial adaptation to disease. Furthermore, the results of the Bootstrap test showed that health-promoting behaviors have a significant mediation role in the relationship of perceived stress and sense of coherence with psychosocial adaptation to disease (P

The purpose of this research was to develop a model that could predict psychosocial ada​ptation to disease in patients with irritable bowel syndrome (IBS) based on perceived stress, sense of coherence, and the mediating function of self-compassion. Utilizing descriptive-correlational and structural equation modeling, the research was conducted. Patients with IBS who were referred to therapy centers and gastroenterologists in the city of Isfahan between the autumn and winter of 2020-2021 constituted the statistical population of the study. The statistical population comprised 340 IBS patients selected using a method of convenient sampling. Psycho-Social Adaptation to Disease Scale (PSADS), Perceived Self-compassion Scale (PSS), Sense of Coherence Questionnaire (SCQ), and Self-Compassion Questionnaire (SCQ) were among the instruments utilized. The data analysis was performed using SPSS and Amos software, version 23, in conjunction with path analysis and Bootstrap testing. Significant relationships were found between perceived stress, sense of coherence, self-compassion, and psychosocial adaptation to disease (p

This article concerns the Laplacian on a perturbed unit disk $Omega_epsilon={ z=rexp(iheta): r

Using Chernoff's Theorem, we present an approximation of the family ${S(t): tge 0}$ that converges in the sense of Kato to the transport semigroup.

Objective: Celiac disease is a common chronic inflammatory condition of the small intestine caused by permanentintolerance to gluten/gliadin. It has been demonstrated that oxidative stress is one of the mechanisms that is involvedin gliadin toxicity, and there is a correlation between oxidative damage with this disease. Similarly, increased oxidativestress was repeatedly reported in infertile men which led to low-quality of sperm function. Therefore, we aimed toassess sperm parameters and chromatin status in men with Celiac disease.Materials and Methods: In this case-control study, semen samples were collected from 11 fertile men without Celiacand 10 men with diagnostic Celiac disease. Basic semen analyses were performed according to the World HealthOrganization (WHO) 2010 protocol. The percentage of sperm with persistence histones, protamine deficiency, DNAfragmentation, malondialdehyde (MDA), and intracellular reactive oxygen species (ROS) were assessed using anilineblue, chromomycin A3, sperm chromatin structure assay, thiobarbituric acid reactive substances (TBARS) assay, anddiacetyldichlorofluorescein staining, respectively.Results: Unlike the sperm parameters, which did not show significant differences between men with Celiac diseaseand fertile individuals, sperm chromatin maturation (persistence histones and protamine deficiency) and sperm DNAdamage in men with Celiac disease were significantly higher compared to fertile individuals (P0.05).Conclusion: Celiac disease affects sperm chromatin maturation and DNA fragmentation, emphasizing its impact onreproductive health.

This study explores the prevalence of adherent-invasive Escherichia coli (AIEC) in colorectal cancer (CRC) patients and investigates the potential of effective intracellular antibiotics as a therapeutic strategy for CRC patients with AIEC infections. Considering the pivotal role of integrons in bacterial antibiotic resistance, the frequency of class 1 and 2 integrons in AIEC isolated from CRC patients, in one of the referenced 3 gastroenterology clinics in Isfahan, Iran was examined. AIEC strains were isolated from the colorectal biopsies and their antimicrobial sensitivity was assessed using the disc diffusion method. Polymerase chain reaction (PCR) was employed to detect intl1 and intl2. The multilocus sequence typing (MLST) method was utilized to type 10 selected isolates. Of the 150 samples, 24 were identified as AIEC, with the highest number isolated from CRC2 (33.4%) and CRC1 (29.16%), and the least from the FH group (8.3%) and control group (12.5%). int1 in 79.2% and int2 in 45.8% of AIEC strains were found and 41.6% of strains had both integrons. AIEC isolates with int1 exhibited the highest sensitivity to trimethoprim-sulfamethoxazole (57.9%), while those with int2 showed the highest sensitivity to ciprofloxacin (63.6%). A significant association between resistance to rifampin and integron 2 presence in AIEC isolates was observed. Furthermore, a significant correlation between integron 1 presence, invasion, survival, and replication within macrophages in AIEC strains was identified. MLST analysis revealed ST131 from CC131 with integron 1 as the most common sequence type (ST). The emergence of such strains in CRC populations poses a serious public health threat. The distribution pattern of STs varied among studied groups, with pandemic STs highlighting the importance of examining and treating patients infected with these isolates. Comprehensive prospective clinical investigations are warranted to assess the prognostic value of detecting this pathovar in CRC and to evaluate therapeutic techniques targeting drug-resistant AIECs, such as phage therapy, bacteriocins, and anti-adhesion compounds, for CRC prevention and treatment.

Human mesenchymal stromal cells are multipotent cells capable of differentiating into the mesenchymal lineage that can be isolated from bone marrow and adipose tissue or from umbilical cord blood and fetal tissues. Among the widely characterized in vitro properties, MSCs show strong anti-proliferative and anti-inflammatory effects on immune responses Exosomes derived from mesenchymal stem cells derived from different tissues are promising cell-free treatments for tissue damage repair. Exosomes serve as a potential portal for cell-free drug delivery systems, as these drugs possess the properties of the parent cell from which they are derived. Extracellular vesicles (EVs) play key roles in cell biology and may provide new clinical diagnostics and therapies. Exosomes, called extracellular vesicles (EcVs), are present in almost all cells, tissues, and body fluids. They contribute to intercellular signaling and maintain tissue homeostasis. The biogenesis of exosomes starts in the endosomal system. Researchers have identified 9769 proteins, 2838 miRNAs, 3408 and 1116 lipids present in exosome of mRNA cargo. Isolation of exosomes from cells, tissues and body fluids follows a different pattern. Exosomes interact with receptor cells through their surface receptor molecules and ligands and are internalized into receptor cells through micropinocytosis and phagocytosis. This varies depending on the origin of the EV, its physiological and pathological state, and even the exact site of cellular release. The composition of the protein inside can also indicate the presence of disease pathologies such as cancer or inflammatory diseases; However, exosomes also contain a number of common proteins as well as proteins involved in vesicle formation. Advanced technologies in regenerative medicine have caused researchers to use exosomes isolated from mesenchymal stem cells (MSCs) with high regeneration ability in diseases. Exosome cargo plays a key role in diagnosis and treatment by controlling the disease process. Various studies in laboratory conditions have shown the effectiveness and therapeutic potential of exosomes in cancer, neurodegenerative, cardiovascular and orthopedic diseases. This article describes the therapeutic role and potential of exosomes derived from mesenchymal stem cells, as well as the necessary precautions for their processing.

Adenoma detection rate (ADR) is an imperative quality measure for colorectal cancer (CRC) screening. This retrospective observational study aimed to determine the trend of polyp detection rate (PDR) and ADR in asymptomatic average- and high-risk participants in different age groups who underwent screening colonoscopy over the seven years from April 2012 to March 2019 in a tertiary gastroenterology referral center of Iran. Of 1676 participants, 51.8 % were men (mean age 52.3 years). The overall PDR and ADR were 22.7 %, and 13.5 %, respectively. Both Polyps and adenomas were more common in age groups 51–59 and ≥60 years in high-risk patients than in the corresponding groups of average-risk patients (p

Lynch syndrome (LS) predisposes individuals to early-onset colorectal and other Lynch-associated cancer. This disorder is an autosomal dominant genetic disturbance caused by germline mutations in one of the mismatch repair genes. Different clinical and molecular criteria are used to diagnose LS. Microsatellite instability testing and immunohistochemistry are two widely used methods for the molecular screening of LS-associated cancers. According to the immunohistochemistry and Microsatellite instability testing, we introduce three Persian families with Lynch-like syndrome (LLS) who met clinical Amsterdam-II criteria and their probands were mismatch repair deficient. In the case of immunohistochemistry-MLH1 absent, BRAF-V600E mutation was evaluated to rule out the sporadic colorectal cancer cases. No pathogenic germline variants were found by next generation sequencing method. Multiplex ligation-dependant probe amplification technique was done to find large in/dels within MLH1/MSH2 genes of the probands. A two-exon deletion within MLH1 gene was eventually identified in one of the patients. Finally, we have represented a molecular pipeline to diagnose LLS based on literature review and the introduced cases.

Abstract In recent studies, the void of evaluation and in-depth understanding of unknown clinically relevant potential molecular biomarkers involved in colorectal cancer (CRC) from the inflammatory stage of ulcerative colitis (UC) to CRC metastasis, which can be suitable therapeutic targets, is deeply felt. The regulation and interaction among different cancer-promoting molecules, including messenger RNAs (mRNAs) and micro RNAs (miRNAs) in CRC and its progression, were the aim we pursued in this study. Using microarray data, we investigated the differential expression for five datasets, including mRNA and microRNA samples related to UC, tumor/normal. Then, using robust data analysis, separate lists of differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRNAs) were identified, which were used for robust rank aggregation (RRA) and co-expression network analysis. Then, comprehensive computational systems biology analyses, including gene ontology and Kyoto encyclopedia of genes and genomic pathway enrichment analyses, mRNA-miRNA regulatory network, and survival analysis, were employed to achieve the aim of this study. Finally, we used clinical samples to validate this potential and new target. According to this systems biology approach, a total of 98 DEGs and 8 DEmiRNAs with common differential expression were identified. By combining the distinct results of RRA and network, several potential therapeutic targets, and predictive and prognostic biomarkers for UC and CRC were identified. These targets include six common hub genes, CXCL1, CXCL8, MMP7, SLCA16A9, PLAU, and TIMP1, which are upregulated. Among these, the important and new biomarker SLC16A9 is negatively regulated by hsa-mir-194-5p, and hsa-miR-378a-5p take. The findings of the present study provide new insight into the pathogenesis of CRC in UC. Our study suggests future evaluation of the functional role of SLC16A9 and hsa-mir-194-5p and hsa-miR-378a-5p in CRC development.

Background: Cancer development is aided by the role of long noncoding RNAs (lncRNAs) that act as competing endogenous RNAs (ceRNAs) absorbing microRNAs (miRNAs). We aimed to discover a novel regulatory axis in colorectal cancer (CRC) and potential biomarkers based on miR-616-3p. Materials and Methods: The gene expression omnibus database was mined for differentially expressed lncRNAs (DELs) and mRNAs. LncRNAs and mRNAs were predicted using the RegRNA and TargetScan databases. A combination of the ciBioPortal and Ensemble databases was used to locate the mRNAs. Cytoscape 3.7.1-built CeRNA networks. A quantitative real-time polymerase chain reaction (qRT-PCR) was utilized to confirm the expression levels of these RNA molecules. Statistical analyses were implemented by GraphPad Prism 9. Results: qRT-PCR showed (Linc01282, lnc-MYADM-1:1, and Zinc Finger Protein 347 [ZNF347]) were overexpressed whereas, (salt-inducible kinases 1 [SIK1], and miR-616-3p) were down regulated. Conclusion: These results identify unique, unreported lncRNAs as CRC prognostic biomarkers, as well as prospective mRNAs as new treatment targets and predictive biomarkers for CRC. In addition, our study uncovered unexplored ceRNA networks that should be studied further in CRC.

The problem of food contamination is a matter of concern, which can cause health complications in consumers. Several international organizations have created standard permissible limits for heavy metals in meat products. Livestock such as sheep, cattle, camels, and goats are the most important sources of protein meat in the Middle East (ME) countries. Contamination of meat products with heavy metals (HMs) may be a threat to human health. Various scattered studies have been conducted in the Middle East on the contamination of red meat and meat products with HMs however, a comprehensive review on this subject has not yet been published. This study aimed to investigate the status of HMs in both raw and processed types of meat in the ME. The results of this narrative review revealed that in many ME countries, contamination of red meat with HMs was excessive. Therefore, more monitoring of livestock conditions and red meat products consumed in some Middle East countries seems necessary.

Background: Time management is effective in controlling stress especially for medical residents. Time management in the surgical field and residential education is very important as they are directly involved in treating patients. Proper time management will help decrease work-related stress and increase efficacy, although there is no time management in medical courses. There are few studies in Iran in this field. So, we designed this study to assess the effects of time management on improvement of educational and therapeutic services in surgical residents of Imam Hospital. Methods: This before–after study was done in Imam hospital between February-March 2015. In this before-after study, 18 surgical residents of Imam Hospital (residents of 1-4 years), were enrolled. Their activities were evaluated in 11 scopes. To evaluate the effects of this self-evaluation, 5 scopes were assessed by the staff. The time during two weeks spent on each item was claimed as a percentage of 336 hours in two weeks. The self-assessment results and their effects on their scores were considered. Data regarding age, sex, and marital status were also gathered. Data were analyzed using SPSS software. Results: Eighteen residents were enrolled in this study. Ten residents were male (55.6%) and eight were female. Six (33.3%) were married. The mean age was 30±3.7 years. Resting time and emergency room time were significantly higher in the first-year residents while studying time was higher in the fourth-year residents. Second-year residents spend more time in training classes than others. The mean score at the beginning and the end of the study was highest in the forth-year residents and lowest in the first-year residents. All scores at the end of the study were significantly higher than the beginning except clinical judgment. The increase of the mean overall score was significantly higher in the fourth-year group and lowest in the first-year group. Conclusion: Time management could improve the educational performance of surgical residents.