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Estimating Completeness of Cancer Registration in Iran with Capture-Recapture Methods
Mohammadi, Gohar,Akbari, Mohammad Esmaeil,Mehrabi, Yadolah,Motlagh, Ali Ghanbari,Pour, Elham Partovi,Roshandel, Gholamreza,Khosravi, Ardasheir Asian Pacific Journal of Cancer Prevention 2016 Asian Pacific journal of cancer prevention Vol.17 No.no.sup3
Completeness is an important indicator of data quality in cancer registry programs. This study aimed to estimate the completeness of registered cases in a population based cancer registry program implemented in five provinces of Iran. Capture-recapture methods were used to estimate the number of cases that may have been missed and to estimate rates of completeness for different categories of age, year, and sex. The data used for this study were obtained from three sources: 1) National Pathology Database; 2) National Hospital Discharge Database; and 3) National Death Registry Database. The three sources were linked and duplicates were identified based on first name, last name, father's names, and date of birth, ICD code, and case's residency address using Microsoft Excel. Removing duplicates, the three sources reported a total of 35,643 cases from March 2008 to March 2011. Running many different multivariate models of capture-recapture and controlling for source dependencies revealed an overall under-reporting of 49% in all five registries combined. The estimated completeness differed based on age, sex, and year. The overall completeness was higher for males than females (71.2% for males and 59.9% for females). Younger age had lower rates of completeness compared to older age (38.1% for <40 years, 55.4% for 40-60 years, and 76.7 for >60 years). The results of this study indicated a moderate to severe (depending on the age, sex and year) degree of completeness in the population based cancer registration of Iran.
Yarandi Kourosh Karimi,Mohammadi Esmaeil,Alimohammadi Maysam,Boshrabadi Ahmad Pourrashidi,Golbakhsh Mohammadreza,Amirjamshidi Abbas 대한척추외과학회 2021 Asian Spine Journal Vol.15 No.1
Study Design: A total of 110 patients with scoliosis were enrolled in this analytical cross-sectional study.Purpose: We aimed to compare the urodynamic study (UDS) results of patients with idiopathic scoliosis (ISC) and congenital scoliosis (CSC) and to evaluate the clinical significance of abnormal UDS findings in predicting underlying tethered cord syndrome (TCS).Overview of Literature: An abnormal UDS finding is commonly found in patients with CSC. However, there is no consensus regarding its prevalence in patients with ISC.Methods: Using the STROBE checklist for cross-sectional studies, 110 patients with scoliosis were selected based on our inclusion and exclusion criteria. Among the patients, 76 presented with ISC and 34 with CSC. Demographic data and other details, such as the results of spine radiography, UDS, and magnetic resonance imaging of the spine in both supine and prone positions, were recorded and analyzed.Results: Approximately 50% of patients with CSC had normal UDS findings; 8.8%, mild impairment; and 41.2%, significant abnormalities. Moreover, 67.1% of patients with ISC had normal UDS findings; 9.2%, mild impairment; and 23.7%, significant abnormalities (p =0.166). TCS was identified in 38.2% and 26.3% of patients with CSC and ISC, respectively (p =0.571). In patients with ISC, a significantly abnormal UDS finding indicated that the risk of TCS increased from 26.3% to 50% (odds ratio [OR], 4.2; p =0.009). Meanwhile, in patients with CSC, the risk was almost similar (OR, 0.8; p =0.8).Conclusions: Even with the absence of subjective urinary symptoms, subclinical urologic impairments can be observed in a significant number of patients with ISC. An abnormal UDS finding can be a sign of underlying spinal cord tethering in a patient with ISC who is a candidate for corrective spine surgery even though it is an independent variant and is not exclusive to candidates for surgery. This finding has high clinical utility for neuro- and ortho-spine surgeons who aim to correct scoliosis (OR, 4.2; p =0.009).
Leila Behbood,Soroush Karimi,Esmaeil Mirzaei,Ghobad Mohammadi,Mahsa Azami,Elham Arkan 한국섬유공학회 2018 Fibers and polymers Vol.19 No.7
The mucoadhesive Chitosan (CS) nanofibers as a drug delivery system were developed. Chitosan was modified via the immobilization of thiol groups from L-cysteine as a mucoadhesive reagent. The mucoadhesive properties of the chitosan nanofibers were evaluated by tensiometer set and via tensile studies. Drug and mucoadhesive agent loading lead to decrease diameters and increased porous of nanofibers. The release of Tetracycline (Tet) and Triamcinolone (Tri) were increased with increasing immersion time and it became constant at long immersion times. Mucoadhesion studies were done at pH 2-7 and in pH 6 maximum mucoadhesive properties observed. Release studies demonstrated a sustained release of both drug continued up to 48 hours. Microbial studies were performed on the nanofibers. The drug delivery system represented a novel tool for improve the therapeutic efficacy of various drugs that are poorly absorbed from the gastrointestinal tract. Also it is an efficient system for treatment of oral ulceration.
Ehsan Tahrokh,Mansour Ebrahimi,Mahdi Ebrahimi,Fatemeh Zamansani,Narjes Rahpeyma Sarvestani,Manijeh Mohammadi-Dehcheshmeh,Mohammad Reza Ghaemi,Esmaeil Ebrahimie 한국유전학회 2011 Genes & Genomics Vol.33 No.5
Ammonium is an excellent nitrogen source, and ammonium transfer is a fundamental process in most organisms. Membrane transport of ammonium is the key component of nitrogen metabolism mediated by Ammonium Transporter/Methylamine Permease/Rhesus (AMT/MEP/Rh) protein family. Ammonium transporters play different physiological roles in various organisms. Here, we looked at the protein characteristics of ammonium transporters in different organisms to create a link between protein characteristics and the organism. In order to increase the accuracy and precision of the employed models,for the first time, an attempt was made to cover all structural aspects of ammonium transporters in animals, bacteria, fungi,plants, and human by extracting and calculating 874 protein attributes of primary, secondary, and tertiary structures for each ammonium transporter. Then, various weighting and modeling algorithms were applied to determine how structural protein features change between organisms. Considering a large number of protein attributes made it possible to detect key protein characteristics in the structure of ammonium transporters. The results, for the first time, indicated that His-based features including count/frequency of His and frequency/count of Ile-His were the most significant features generating different types of ammonium transporters within organisms. Within different tested models, the C5.0 model was the most efficient and precise model for discrimination of organism type, based on ammonium transporter sequence, with the precision of 94.85%. The determination of protein characteristics of ammonium transporters in different organisms provides a new vista for understanding the evolution of transporters based on the modulation of protein characteristics and facilitates engineering of new transporters. In our point of view, dissecting a large number of structural protein characteristics through data mining algorithms provides a novel functional strategy for studying evolution and phylogeny. This research will serve as a basis for future studies on engineering novel ammonium transporters.
Heshmat, Ramin,shafiee, Gita,Kelishadi, Roya,Babaki, Amir Eslami Shahr,Motlagh, Mohammad Esmaeil,Arefirad, Tahereh,Ardalan, Gelayol,Ataie-Jafari, Asal,Asayesh, Hamid,Mohammadi, Rasool,Qorbani, Mostafa The Korean Nutrition Society 2015 Nutrition Research and Practice Vol.9 No.4
BACKGROUND/OBJECTIVES: Although the association of body mass index (BMI) with metabolic syndrome (MetS) is well documented, there is little knowledge on the independent and joint associations of BMI and physical activity with MetS risk based on a continuous scoring system. This study was designed to explore the effect of physical activity on interactions between excess body weight and continuous metabolic syndrome (cMetS) in a nationwide survey of Iranian children and adolescents. SUBJECTS/METHODS: Data on 5,625 school students between 10 and 18 years of age were analyzed. BMI percentiles, screen time activity (STA), leisure time physical activity (LTPA) levels, and components of cMetS risk score were extracted. Standardized residuals (z-scores) were calculated for MetS components. Linear regression models were used to study the interactions between different combinations of cMetS, LTPA, and BMI percentiles. RESULTS: Overall, 984 (17.5%) subjects were underweight, whereas 501 (8.9%) and 451 (8%) participants were overweight and obese, respectively. All standardized values for cMetS components, except fasting blood glucose level, were directly correlated with BMI percentiles in all models (P-trend < 0.001); these associations were independent of STA and LTPA levels. Linear associations were also observed among LTPA and standardized residuals for blood pressure, high-density lipoprotein, and waist circumference (P-trend < 0.01). CONCLUSIONS: Our findings suggest that BMI percentiles are associated with cMetS risk score independent of LTPA and STA levels.
Ramin Heshmat,Gita shafiee,Roya Kelishadi,Amir Eslami Shahr Babaki,Mohammad Esmaeil Motlagh,Tahereh Arefirad,Gelayol Ardalan,Asal Ataie-Jafari,Hamid Asayesh,Rasool Mohammadi,Mostafa Qorbani 대한지역사회영양학회 2015 Nutrition Research and Practice Vol.5 No.6
BACKGROUND/OBJECTIVES: Although the association of body mass index (BMI) with metabolic syndrome (MetS) is well documented, there is little knowledge on the independent and joint associations of BMI and physical activity with MetS risk based on a continuous scoring system. This study was designed to explore the effect of physical activity on interactions between excess body weight and continuous metabolic syndrome (cMetS) in a nationwide survey of Iranian children and adolescents. SUBJECTS/METHODS: Data on 5,625 school students between 10 and 18 years of age were analyzed. BMI percentiles, screen time activity (STA), leisure time physical activity (LTPA) levels, and components of cMetS risk score were extracted. Standardized residuals (z-scores) were calculated for MetS components. Linear regression models were used to study the interactions between different combinations of cMetS, LTPA, and BMI percentiles. RESULTS: Overall, 984 (17.5%) subjects were underweight, whereas 501 (8.9%) and 451 (8%) participants were overweight and obese, respectively. All standardized values for cMetS components, except fasting blood glucose level, were directly correlated with BMI percentiles in all models (P-trend < 0.001); these associations were independent of STA and LTPA levels. Linear associations were also observed among LTPA and standardized residuals for blood pressure, high-density lipoprotein, and waist circumference (P-trend < 0.01). CONCLUSIONS: Our findings suggest that BMI percentiles are associated with cMetS risk score independent of LTPA and STA levels.
Ramin Heshmat,Gita shafiee,Roya Kelishadi,Amir Eslami Shahr Babaki,Mohammad Esmaeil Motlagh,Tahereh Arefirad,Gelayol Ardalan,Asal Ataie-Jafari,Hamid Asayesh,Rasool Mohammadi,Mostafa Qorbani 한국영양학회 2015 Nutrition Research and Practice Vol.9 No.4
BACKGROUND/OBJECTIVES: Although the association of body mass index (BMI) with metabolic syndrome (MetS) is well documented, there is little knowledge on the independent and joint associations of BMI and physical activity with MetS risk based on a continuous scoring system. This study was designed to explore the effect of physical activity on interactions between excess body weight and continuous metabolic syndrome (cMetS) in a nationwide survey of Iranian children and adolescents. SUBJECTS/METHODS: Data on 5,625 school students between 10 and 18 years of age were analyzed. BMI percentiles, screen time activity (STA), leisure time physical activity (LTPA) levels, and components of cMetS risk score were extracted. Standardized residuals (z-scores) were calculated for MetS components. Linear regression models were used to study the interactions between different combinations of cMetS, LTPA, and BMI percentiles. RESULTS: Overall, 984 (17.5%) subjects were underweight, whereas 501 (8.9%) and 451 (8%) participants were overweight and obese, respectively. All standardized values for cMetS components, except fasting blood glucose level, were directly correlated with BMI percentiles in all models (P-trend < 0.001); these associations were independent of STA and LTPA levels. Linear associations were also observed among LTPA and standardized residuals for blood pressure, high-density lipoprotein, and waist circumference (P-trend < 0.01). CONCLUSIONS: Our findings suggest that BMI percentiles are associated with cMetS risk score independent of LTPA and STA levels.