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匹配条件: “Biglarian M” ,找到相关结果约400138条。
Revision and classification of persian patient's primary cutaneous lymphoma according to WHO-EORTC classification in Razi Hospital, Tehran: a brief report
Kamiab Hesari K,Gheiasi M,Niko A,Biglarian M
Tehran University Medical Journal , 2013,
Abstract: Background: Primary cutaneous lymphoma is separated into two groups, cutaneous lymphoma (CTCL) and cutaneous B-CELL Lymphoma (CBCL). This study was performed to classify histopathologically and define demographic features of Persian patients with primary cutaneous lymphoma.Methods: Twenty hundred and thirty four patients with primary cutaneous lymphoma who have been referred to Razi Hospital in Tehran, Iran during at four year period (October 2005 to October 2009), were investigated in this study. The data were gathered by reviewing their medical records andexaminedagain extant evidence andhistology slides.Results: Among 234 Patients, the only clinical feature that could be assessed was itching. The most common involves location of disease was generalized. 189 (80.77%) cases of the patients had CTCL and 45 (19.23%) cases of the patients had CBCL. Age of patients with two lymphoma type were similar at the this time of diagnosis. Sex supremacy was with men in two groups.Conclusion: This study provides histopathologic classification and demographic data.
Survival analysis of gastric cancer patients using Cox model: a five year study
Biglarian A,Hajizadeh E,Kazemnejad A,Zali M
Tehran University Medical Journal , 2009,
Abstract: "n Normal 0 false false false EN-US X-NONE AR-SA MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Arial; mso-bidi-theme-font:minor-bidi;} Background: Gastric cancer is the second most common cancer and known as the second cause of death due to cancers worldwide. Adenocarcinoma is the most fatal cancer in Iran and a patient with this kind of cancer, has a lower lifetime than others. In this research, the survival of patients with gastric carcinoma who were registered at Taleghani Hospital, were studied."n"nMethods: 291 patients with Gastric carcinoma who had received care, chemotherapy or chemoradiotherapy, at Taleghani Hospital in Tehran from 2002 to 2007 were studied as a historical cohort. Their survival rates and its relationship with 12 risk factors were assessed."n"nResults: Of the 291 patients with Gastric carcinoma, 70.1 percent were men and others (29.9%) were women. The mean age of men was 62.26 years and of women was 59.32 years at the time of diagnosis. Most of patients (93.91%) were advanced stage and metastasis. The Cox proportional hazards model showed that age at diagnosis, tumor stage and histology type with survival time had significant relationships (p=0.039, p=0.042 and p=0.032 respectively)."n"n Conclusion: The five-year survival rate and median lifetime of gastric cancer patients who underwent chemotherapy or chemoradiotherapy are very low and seems that one of the important reasons for this situation is delayed diagnosis. The scheme of public education about the early warning signs of the disease and diagnosis and administration of periodic examinations is unavoidable.
Detection of Outliers methods in medical studies
Babaee Gh,Amani F,Biglarian A,Keshavarz M
Tehran University Medical Journal , 2007,
Abstract: Background: An outlier is an observation that lies an abnormal distance from other values in a random sample from a population. Outliers sometimes deal with to abnormality in obtained results from collected data and information. known outlier data by researchers, physicians and other persons that work in medical fields and sciences is important and they must control data before getting result about outlier data, effect of them in information bias and how to remove & control to obtain minimum bias and exact data .in this paper we had trying by known technique and tests to control them and minimized the errors related to them.Methods: This paper has been done on 30 student's height in Tarbiat Modares University that measured by meter in smoothing area. We applied some methods such as; Z-test, Grub test and graphical methods to determine outliers. In this paper the advantage and disadvantage of methods were evaluated and finally compares with each other.Results: The above tests showed that the data values 153, 110 among collected data were outliers. All of the methods showed that the above data were outliers. Calculation quartiles and intermediate quartiles showed that the observations under 125 and upper 141 were mind outliers and if the observation under 119 and upper 147 is the sever outliers. According to upper situations the amounts of 110 and 153 is the sever outliers and resulted from all methods.Conclusion: The results showed that all methods were useful in determine outlier data and between them Quartiles were important to known severe and mild outliers. Also Grub test with p-Value is very useful to report outliers.
Effect of Non-Routine Perioperative Laboratory Values on 30 Day Mortality after Non-Cardiac Surgery  [PDF]
Michael Ohebsion, Zhongjie Cai, Alexandra Ruan, Stephanie Biglarian, Ling Zheng, Mary M. Joseph
Open Journal of Anesthesiology (OJAnes) , 2017, DOI: 10.4236/ojanes.2017.76018
Abstract: Background: It is known that certain laboratory value abnormalities may increase mortality in patient populations with specific risk factors and specific procedures. The purpose of this paper was to investigate the effect of drawing a non-routine lab (regardless of its result) on 30 day mortality and to investigate the effect of an abnormal non-routine laboratory value on 30 day mortality. Methods: The electronic medical records of adult patients undergoing non-cardiac surgery from 2011-2014 at LAC + USC Medical Center were reviewed retrospectively as approved by our institutional review board. Demographic data, surgical risk assessment, and routine and non-routine laboratory values (TSH, Troponin, Creatine Kinase, Hb A1c) were recorded; patients were grouped according to the single non-routine lab they had drawn. Multivariate logistic regression analysis was used to determine significant risk factors associated with increased 30 day mortality. Results: 11,306 patients met our inclusion criteria. Drawing a non-routine lab was associated with a statistically significant increase in mortality in the Troponin group (OR = 3.05, P < 0.001) but not in the TSH, Creatine Kinase, or Hb A1c groups. An abnormal non-routine lab value was associated with a statistically significantly increase in mortality in the TSH group (OR = 11.07, P = 0.008) but not in the other three groups. Conclusions: Drawing a non-routine lab was associated with a statistically significant increase in mortality in the Troponin group but not in the TSH, Creatine Kinase, or Hb A1c groups. An abnormal TSH value was associated with a statistically significant increase in mortality but not an abnormal Troponin, Creatine Kinase, or Hb A1c. Routine and non-routine laboratory testing may guide perioperative patient care and result in improved post-surgical outcome.
Laboratory colonization of Lucilia sericata Meigen (Diptera: Caliphoridae) strain from Hashtgerd, Iran
F. Firoozfar , S.H. Mosa Kazemi, K. Shemshad , M. Baniardalani , M. Abolhasani , A. Biglarian , A. Enayati & J. Rafinejad
Journal of Vector Borne Diseases , 2012,
Abstract: Background & objectives: The treatment of wounds with live green bottle fly larvae is receiving considerableattention in many countries. Laboratory rearing of Lucilia sericata is crucially important for the treatment ofwounds.Study design: The study was carried out for mass rearing of green bottle flies from April to November 2010.Hand catch and net trap baited with beef and cattle liver were used to collect adult flies from the field. Thecollected samples were placed in appropriately labeled tubes and sent to the laboratory. Adult stage flies rearedin the insectary were used for species identification using specific keys.Results: A total of 89 flies (55 females and 34 males) were collected from Hashtgerd area. In the first generation,299 flies were produced in the laboratory including 105 (35.12%) males, and 194 (64.88%) females. The female/male sex ratio was 1.61 for parents, whereas it was 1.84, 1.30 for F1 and F2 generations respectively. In total,432 flies were reared in F3 generation including 173 (40.04%) males, and 259 (59.96%) females, and the sexratio was 1.49.Conclusion: Setting up the mass rearing of sheep blowfly at the School of Public Health, Tehran University ofMedical Sciences is an important step in producing candidate flies for the treatment of myiasis by maggottherapy in future.
Study of awarencess towards and the Pattern of Milk Consumption in 7-12 year old Elementary School Students in the City of Sari and their Mothers (2005-2006
H. Vahedi, M.Sc,P. Pourabdollahi, Ph.D.,A. Biglarian, Ph.D.,M. Shekarzadeh Lemoki, Ph.D.
Journal of Mazandaran University of Medical Sciences , 2007,
Abstract: Background and purpose: Tody, most societies face significant decrease in consuming milk products in children and this process would cause problems in providing the calcium needed by children, particularly since the osteoporosis is definitely connected to a lack of receiving sufficient calcium in children and adolescence age. Therefore, the goal of this study is to study the knowledge and pattern of milk consumption in 7-12 year old children of Sari and their mothers.Materials and Methods: The research samples consisted 638 male and female student at 7-12 in elementary schools (urban and rural), chosen at random from 16 schools. Necessary data were obtained through separate and different questionnaires on the output of milk consumption and its products through direct interviews. The data of the study were analyzed using t-Test, ANOVA, Duncan follow up, Chi-square and correlation coefficient.Results: In this study, 44% of children and 37.7% of mothers consumed milk and 50.1% of children and 19.4% mothers sometimes consumed milk. 5.5% of children and 19.4% of mothers did not consume milk. Mostly, the reason for non-consuming milk among children and mothers was: not having access to milk (27.9% and 17.7%). The awareness towards the advantages of milk was desirable in 67% children and 48.7% of mothers. It was almost desirable in 21.1% children and 4.5% of mothers and undesirable in 1.4% of children and 1.1% of mothers. The amount of milk consumption for 62% of urban children and 49% of rural children was only one unit, and, in sum, the amount of milk consumption for 59% of boys and 55% of girls was less than the recommended figures. The mean average of criteria deviation in the amount of milk consumption for children showed a significant difference from their educational levels (p=0.001) and insignificant difference from their sex. In addition, the pattern of milk consumption of children had significant relationship with the sex, education level and education of father; however, it had significant relationship with the education level of mothers and the jobs of mother and father. Children's knowledge about the advantages of milk had a significant relationship with the education level of mothers, fathers and jobs of mothers (P<0.004); however, it had a insignificant relationship with their sex.Conclusion: In this study, the amount of milk consumption in half of the population subjects of the study was less than the standard recommended amount; therefore, to improve children's health status and prevent the destructive effects of osteoporosis in adulthood, the
Comparison of artificial neural network and Cox regression models in survival prediction of gastric cancer patients
Akbar Biglarian,Ebrahim Hajizadeh,Anoshirvan Kazemnejad
Koomesh , 2010,
Abstract: Introduction: Cox regression model is one of the statistical methods in survival analysis.Proportionality of hazard rate is an assumption of this model. In the recent decades, artificial neuralnetwork (ANN) model has increasingly used in survival prediction. This study aimed to predict thesurvival probability of Gastric cancer patients using Cox regression and ANN models.Materials and Methods: In this historical-cohort study, information of total of 436 gastric cancerpatients with adenocarcinomas pathology who underwent surgery at the Taleghani hospital of Tehranbetween 2002 and 2007 were included. Data were divided to training and testing (or validation) groups,randomly. The Cox regression model (semi-parametric model) and a three layer ANN model were usedfor analyzing of database. Furthermore, the area under receiver operating characteristic curve (AUROC)and classification accuracy were used to compare these models.Results: Prediction accuracy of ANN and Cox regression models were 81.51% and 72.60%,respectively. In addition, AUROC of ANN and Cox regression models were 0.826 and 0.754,respectively.Conclusions: ANN was better than Cox regression model in terms of AUROC and accuracy ofprediction. Therefore, ANN model is recommended for prediction of survival probability. These findingare very important in health research, particularly in allocation of medical resources for patients whopredicted as high-risks.
Changes in Body Mass Index across Age Groups in Iranian Women: Results from the National Health Survey
Enayatollah Bakhshi,Behjat Seifi,Akbar Biglarian,Kazem Mohammad
Journal of Nutrition and Metabolism , 2012, DOI: 10.1155/2012/848403
Abstract: Background. To investigate the associations between some factors with weight gain across age groups in Iranian women. Methods. Proportional odds model was used to estimate the probability of BMI categorized as a function of education, economic index, workforce, smoking, marital status, and place of residence adjusted for age, using data from the “National Health Survey in Iran” database. It included 14176 women aged 20–69 years. Results. For all covariates, age was directly associated with overweight and obesity before 60 years of age. Among women aged 20–40 years, the rates of change in probabilities of overweight and obesity were highest. Among women, being inactive, with high economic index, married, being nonsmoker, in an urban residence, with lower educational attainment, all increased the probabilities of overweight and obesity. Conclusions. Women aged 20–40 years gained weight faster than other groups. They may need additional information and more support on how to reduce their risk for weight gain through positive health behaviors.
Let Continuous Outcome Variables Remain Continuous
Enayatollah Bakhshi,Brian McArdle,Kazem Mohammad,Behjat Seifi,Akbar Biglarian
Computational and Mathematical Methods in Medicine , 2012, DOI: 10.1155/2012/639124
Abstract: The complementary log-log is an alternative to logistic model. In many areas of research, the outcome data are continuous. We aim to provide a procedure that allows the researcher to estimate the coefficients of the complementary log-log model without dichotomizing and without loss of information. We show that the sample size required for a specific power of the proposed approach is substantially smaller than the dichotomizing method. We find that estimators derived from proposed method are consistently more efficient than dichotomizing method. To illustrate the use of proposed method, we employ the data arising from the NHSI.
Factors associated with obesity in Iranian elderly people: results from the national health survey
Enayatollah Bakhshi, Behjat Seifi, Akbar Biglarian, Kazem Mohammad
BMC Research Notes , 2011, DOI: 10.1186/1756-0500-4-538
Abstract: The data in this investigation were taken from the National Health Survey in Iran, which included 4380 people aged 60 and older. The logistic regression was applied to model the relationship between the odds of obesity and age, sex, education level, place of residence, smoking and marital status.Obesity odds ratios were 1.96 (95% CI: 1.53--2.52) for women, 2.16 (95% CI: 1.71--2.72) for the subjects living in urban areas and 0.68 (95% CI: 0.47--0.97) for smokers. Regarding the people aged 60-64 years as the reference group, the obesity odds ratios were 0.86 (95% CI: 0.66--1.10) for ages 65-69 years, 0.75 (95% CI: 0.57--0.97) for ages 70-74 years, 0.43 (95% CI: 0.30--0.60) for ages 75-79 years and 0.36 (95% CI: 0.20--0.63) for ages 80+ years. Using the basic education level as the reference group, obesity odds ratios were 1.38 (95% CI: 1.08-1.76) for the moderate level and 0.92 (95% CI: 0.56- 1.52) for the high level group.As the result of findings, we are optimistic that we would be able to contribute to the aged community of the society, which could be achieved by means of better treatments and reductions in the rate of obesity.Obesity has been called the disease of the twenty-first century. Nearly 1.5 billion adults of age 20 and older are considered to be overweight or obese. Of which, nearly 300 million women and more than 200 million men are obese [1]. The prevalence of obesity is also increasing in older populations throughout the world [2]. The prevalence of obesity among elderly people in industrialized countries estimates suggest ranging from 15% to over 30% [3,4].Obesity has been reported to be a risk factor for cardiovascular diseases, diabetes, hypertension, some cancers and also some other diseases [5-19]. In general, obesity is related to morbidity, mortality as well as poor quality of life [20]. Although some studies showed that the impact of obesity on mortality may have decreased over time [21], obese elderly people are more likely to become disabled

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