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Article ; Online: Unusual Sites of Leiomyosarcoma: A Study of 3 Interesting Cases.

Siddiqui, Bushra / Faridi, Shahbaz Habib / Shams, Asfa / Hassan, Jowairiah

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP

2022 Volume 32, Issue 9, Page(s) 1205–1208

Abstract: Leiomyosarcoma malignant tumours arise from the smooth muscle cells. They are rapidly growing tumours with aggressive behaviour and poor prognosis. Although relatively rare, they pose a diagnostic challenge as they comprise a large spectrum of diagnostic ...

Abstract	Leiomyosarcoma malignant tumours arise from the smooth muscle cells. They are rapidly growing tumours with aggressive behaviour and poor prognosis. Although relatively rare, they pose a diagnostic challenge as they comprise a large spectrum of diagnostic entities. Herein, we describe three cases of leiomyosarcoma developing at unusual sites and posing diagnostic challenges. Our first case is a leiomyosarcoma developing at the post-burn scar site; the second case is of primary pulmonary leiomyosarcoma, and the third is retroperitoneal leiomyosarcoma. Histopathological examination is not sufficient all the time for making the diagnosis of leiomyosarcoma because there is a morphologic overlap with other malignancies. Immunohistochemistry acts as an adjunct to arrive at a definite diagnosis and hence, proves to be the most important ancillary technique in the diagnosis of such tumours. Though these tumours arise most commonly from the uterine smooth muscle, but rarely encountered at unusual sites posing diagnostic difficulties. Key Words: Leiomyosarcoma, Retroperitoneal, Pulmonary, Post-burn scar.
MeSH term(s)	Cicatrix/pathology ; Female ; Humans ; Immunohistochemistry ; Leiomyosarcoma/diagnosis ; Leiomyosarcoma/pathology ; Leiomyosarcoma/surgery ; Muscle, Smooth ; Retroperitoneal Neoplasms/pathology
Language	English
Publishing date	2022-09-11
Publishing country	Pakistan
Document type	Case Reports
ZDB-ID	2276646-7
ISSN	1681-7168 ; 1022-386X
ISSN (online)	1681-7168
ISSN	1022-386X
DOI	10.29271/jcpsp.2022.09.1205
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Article ; Online: Analyzing COVID-19 pandemic for unequal distribution of tests, identified cases, deaths, and fatality rates in the top 18 countries.

Shams, Shahbaz A / Haleem, Abid / Javaid, Mohd

Diabetes & metabolic syndrome

2020 Volume 14, Issue 5, Page(s) 953–961

Abstract: Background and aims: COVID-19 pandemic has affected various countries differently due to variance in demographics, income level, health infrastructure, government response, control and enforcement, and cultural traits of different populations. This ... ...

Abstract	Background and aims: COVID-19 pandemic has affected various countries differently due to variance in demographics, income level, health infrastructure, government response, control and enforcement, and cultural traits of different populations. This study aims to identify significant factors behind the unequal distribution of identified cases and deaths in different countries. Our study's objective is comparative analysis and identification of relations between the spread of COVID-19 pandemic, population characteristics, and government response. Methods: The top 18 countries worst hit by COVID-19 cases were identified. The data metrics, such as the number of cases, deaths, fatality rates, tests, average life expectancy, and population, were collected and consolidated. Results: Countries with significant percentage of the older population are vulnerable to a high number of deaths due to COVID-19. Developed countries have higher per capita testing, whereas testing is less intensive in developing/underdeveloped countries. There is a consensus among health experts that COVID-19 has higher fatality rates for people above 60, however, with further age, this increases exponentially. Countries with higher life expectancy are also high-income countries, and the best course of action would be to provide specialized support to self-isolate for people of ages 75 and above. Conclusion: The behaviour of disease occurring at a large scale and interaction with different populations is studied to understand and differentiate the factors and measures that successfully inhibited the pandemic. The study benchmarks different countries based on their performance and efforts against the pandemic and provides some useful insights on the efficiency of their governance and potential to improve & ramp up their programs. The economic status and existing healthcare infrastructure as they are the key factors in determining the country's ability to contain and minimize the losses from this pandemic.
MeSH term(s)	Betacoronavirus/isolation & purification ; COVID-19 ; COVID-19 Testing ; Clinical Laboratory Techniques/methods ; Coronavirus Infections/diagnosis ; Coronavirus Infections/epidemiology ; Coronavirus Infections/mortality ; Coronavirus Infections/virology ; Developed Countries/statistics & numerical data ; Developing Countries/statistics & numerical data ; Global Health/statistics & numerical data ; Humans ; Pandemics ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/epidemiology ; Pneumonia, Viral/mortality ; Pneumonia, Viral/virology ; SARS-CoV-2 ; Socioeconomic Factors ; Survival Rate
Keywords	covid19
Language	English
Publishing date	2020-06-26
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2273766-2
ISSN	1878-0334 ; 1871-4021
ISSN (online)	1878-0334
ISSN	1871-4021
DOI	10.1016/j.dsx.2020.06.051
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Analyzing COVID-19 pandemic for unequal distribution of tests, identified cases, deaths, and fatality rates in the top 18 countries

Shams, Shahbaz A. / Haleem, Abid / Javaid, Mohd

Diabetes & Metabolic Syndrome: Clinical Research & Reviews

2020 Volume 14, Issue 5, Page(s) 953–961

Keywords	Internal Medicine ; Endocrinology, Diabetes and Metabolism ; General Medicine ; covid19
Language	English
Publisher	Elsevier BV
Publishing country	us
Document type	Article ; Online
ZDB-ID	2273766-2
ISSN	1878-0334 ; 1871-4021
ISSN (online)	1878-0334
ISSN	1871-4021
DOI	10.1016/j.dsx.2020.06.051
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A death, infection, and recovery (DIR) model to forecast the COVID-19 spread.

Shams, Fazila / Abbas, Assad / Khan, Wasiq / Khan, Umar Shahbaz / Nawaz, Raheel

Computer methods and programs in biomedicine update

2021 Volume 2, Page(s) 100047

Abstract: Background: The SARS-Cov-2 virus (commonly known as COVID-19) has resulted in substantial casualties in many countries. The first case of COVID-19 was reported in China towards the end of 2019. Cases started to appear in several other countries ( ... ...

Abstract	Background: The SARS-Cov-2 virus (commonly known as COVID-19) has resulted in substantial casualties in many countries. The first case of COVID-19 was reported in China towards the end of 2019. Cases started to appear in several other countries (including Pakistan) by February 2020. To analyze the spreading pattern of the disease, several researchers used the Susceptible-Infectious-Recovered (SIR) model. However, the classical SIR model cannot predict the death rate. Objective: In this article, we present a Death-Infection-Recovery (DIR) model to forecast the virus spread over a window of one (minimum) to fourteen (maximum) days. Our model captures the dynamic behavior of the virus and can assist authorities in making decisions on non-pharmaceutical interventions (NPI), like travel restrictions, lockdowns, etc. Method: The size of training dataset used was 134 days. The Auto Regressive Integrated Moving Average (ARIMA) model was implemented using XLSTAT (add-in for Microsoft Excel), whereas the SIR and the proposed DIR model was implemented using python programming language. We compared the performance of DIR model with the SIR model and the ARIMA model by computing the Percentage Error and Mean Absolute Percentage Error (MAPE). Results: Experimental results demonstrate that the maximum% error in predicting the number of deaths, infections, and recoveries for a period of fourteen days using the DIR model is only 2.33%, using ARIMA model is 10.03% and using SIR model is 53.07%. Conclusion: This percentage of error obtained in forecasting using DIR model is significantly less than the% error of the compared models. Moreover, the MAPE of the DIR model is sufficiently below the two compared models that indicates its effectiveness.
Language	English
Publishing date	2021-12-28
Publishing country	Netherlands
Document type	Journal Article
ISSN	2666-9900
ISSN (online)	2666-9900
DOI	10.1016/j.cmpbup.2021.100047
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Analyzing COVID-19 pandemic for unequal distribution of tests, identified cases, deaths, and fatality rates in the top 18 countries

Shams, Shahbaz A / Haleem, Abid / Javaid, Mohd

Diabetes Metab Syndr

Abstract: BACKGROUND AND AIMS: COVID-19 pandemic has affected various countries differently due to variance in demographics, income level, health infrastructure, government response, control and enforcement, and cultural traits of different populations. This study ...

Abstract	BACKGROUND AND AIMS: COVID-19 pandemic has affected various countries differently due to variance in demographics, income level, health infrastructure, government response, control and enforcement, and cultural traits of different populations. This study aims to identify significant factors behind the unequal distribution of identified cases and deaths in different countries. Our study's objective is comparative analysis and identification of relations between the spread of COVID-19 pandemic, population characteristics, and government response. METHODS: The top 18 countries worst hit by COVID-19 cases were identified. The data metrics, such as the number of cases, deaths, fatality rates, tests, average life expectancy, and population, were collected and consolidated. RESULTS: Countries with significant percentage of the older population are vulnerable to a high number of deaths due to COVID-19. Developed countries have higher per capita testing, whereas testing is less intensive in developing/underdeveloped countries. There is a consensus among health experts that COVID-19 has higher fatality rates for people above 60, however, with further age, this increases exponentially. Countries with higher life expectancy are also high-income countries, and the best course of action would be to provide specialized support to self-isolate for people of ages 75 and above. CONCLUSION: The behaviour of disease occurring at a large scale and interaction with different populations is studied to understand and differentiate the factors and measures that successfully inhibited the pandemic. The study benchmarks different countries based on their performance and efforts against the pandemic and provides some useful insights on the efficiency of their governance and potential to improve & ramp up their programs. The economic status and existing healthcare infrastructure as they are the key factors in determining the country's ability to contain and minimize the losses from this pandemic.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #621788
Database	COVID19

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Article ; Online: Analyzing COVID-19 pandemic for unequal distribution of tests, identified cases, deaths, and fatality rates in the top 18 countries

Shams, Shahbaz A. / Haleem, Abid / Javaid, Mohd

reponame:Expeditio Repositorio Institucional UJTL ; instname:Universidad de Bogotá Jorge Tadeo Lozano

2020

Abstract	Background and aims: COVID-19 pandemic has affected various countries differently due to variance in demographics, income level, health infrastructure, government response, control and enforcement, and cultural traits of different populations. This study aims to identify significant factors behind the unequal distribution of identified cases and deaths in different countries. Our study’s objective is comparative analysis and identification of relations between the spread of COVID-19 pandemic, population characteristics, and government response. Methods: The top 18 countries worst hit by COVID-19 cases were identified. The data metrics, such as the number of cases, deaths, fatality rates, tests, average life expectancy, and population, were collected and consolidated. Results: Countries with significant percentage of the older population are vulnerable to a high number of deaths due to COVID-19. Developed countries have higher per capita testing, whereas testing is less intensive in developing/underdeveloped countries. There is a consensus among health experts that COVID-19 has higher fatality rates for people above 60, however, with further age, this increases exponentially. Countries with higher life expectancy are also high-income countries, and the best course of action would be to provide specialized support to self-isolate for people of ages 75 and above. Conclusion: The behaviour of disease occurring at a large scale and interaction with different populations is studied to understand and differentiate the factors and measures that successfully inhibited the pandemic. The study benchmarks different countries based on their performance and efforts against the pandemic and provides some useful insights on the efficiency of their governance and potential to improve & ramp up their programs. The economic status and existing healthcare infrastructure as they are the key factors in determining the country’s ability to contain and minimize the losses from this pandemic.
Keywords	Country-wise analysis ; COVID-19 ; Life expectancy: Pandemic ; Síndrome respiratorio agudo grave ; SARS-CoV-2 ; Coronavirus ; covid19
Publisher	Science Direct
Publishing country	co
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Pharmacodynamics of a losartan transdermal system for the treatment of hypertension.

Shams, M Shahbaz / Alam, M Intakhab / Ali, Asgar / Sultana, Yasmin / Aqil, M

Drug development and industrial pharmacy

2010 Volume 36, Issue 4, Page(s) 385–392

Abstract: Aims: Transdermal therapeutic systems were developed using the polymers, Eudragit E 100 and polyvinyl pyrrolidone VA 64 in a film casting assembly. The medicated films were evaluated for physical properties, in vitro drug release studies, in vitro skin ... ...

Abstract	Aims: Transdermal therapeutic systems were developed using the polymers, Eudragit E 100 and polyvinyl pyrrolidone VA 64 in a film casting assembly. The medicated films were evaluated for physical properties, in vitro drug release studies, in vitro skin permeation studies, and pharmacodynamic studies. Results: The physical parameters were found to be very satisfactory with high drug content (>99%). The in vitro drug release studies were performed using paddle-over-disc assembly specified in USP XXIII. The pharmacodynamic studies were carried out using tail cuff method in Wistar albino rats. Hypertension was induced by methyl prednisolone acetate subcutaneously for 2 weeks. The developed matrix patch was found to decrease the blood pressure (25.42% reduction in mean systolic blood pressure of rats) significantly (P < 0.001) in proximity of the normal value and it was maintained for 24 hours. Conclusion: It can be concluded that the developed transdermal matrix patch holds promise for the management of hypertension that needs to be validated by clinical trials.
MeSH term(s)	Acrylates ; Administration, Cutaneous ; Animals ; Antihypertensive Agents/administration & dosage ; Antihypertensive Agents/chemistry ; Antihypertensive Agents/pharmacology ; Blood Pressure/drug effects ; Delayed-Action Preparations ; Drug Delivery Systems ; Drug Stability ; Hypertension/drug therapy ; Losartan/administration & dosage ; Losartan/chemistry ; Losartan/pharmacology ; Permeability ; Polymers ; Povidone/analogs & derivatives ; Rats ; Rats, Wistar ; Skin/metabolism
Chemical Substances	Acrylates ; Antihypertensive Agents ; Delayed-Action Preparations ; Eudragit E100 ; Polymers ; polyvinylpolypyrrolidone (25249-54-1) ; Povidone (FZ989GH94E) ; Losartan (JMS50MPO89)
Language	English
Publishing date	2010-04
Publishing country	England
Document type	Journal Article
ZDB-ID	751874-2
ISSN	1520-5762 ; 0363-9045
ISSN (online)	1520-5762
ISSN	0363-9045
DOI	10.3109/03639040903188471
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Article ; Online: A death, infection, and recovery (DIR) model to forecast the COVID-19 spread

Fazila Shams / Assad Abbas / Wasiq Khan / Umar Shahbaz Khan / Raheel Nawaz

Computer Methods and Programs in Biomedicine Update, Vol 2, Iss , Pp 100047- (2022)

2022

Abstract	Background: The SARS-Cov-2 virus (commonly known as COVID-19) has resulted in substantial casualties in many countries. The first case of COVID-19 was reported in China towards the end of 2019. Cases started to appear in several other countries (including Pakistan) by February 2020. To analyze the spreading pattern of the disease, several researchers used the Susceptible-Infectious-Recovered (SIR) model. However, the classical SIR model cannot predict the death rate. Objective: In this article, we present a Death-Infection-Recovery (DIR) model to forecast the virus spread over a window of one (minimum) to fourteen (maximum) days. Our model captures the dynamic behavior of the virus and can assist authorities in making decisions on non-pharmaceutical interventions (NPI), like travel restrictions, lockdowns, etc. Method: The size of training dataset used was 134 days. The Auto Regressive Integrated Moving Average (ARIMA) model was implemented using XLSTAT (add-in for Microsoft Excel), whereas the SIR and the proposed DIR model was implemented using python programming language. We compared the performance of DIR model with the SIR model and the ARIMA model by computing the Percentage Error and Mean Absolute Percentage Error (MAPE). Results: Experimental results demonstrate that the maximum% error in predicting the number of deaths, infections, and recoveries for a period of fourteen days using the DIR model is only 2.33%, using ARIMA model is 10.03% and using SIR model is 53.07%. Conclusion: This percentage of error obtained in forecasting using DIR model is significantly less than the% error of the compared models. Moreover, the MAPE of the DIR model is sufficiently below the two compared models that indicates its effectiveness.
Keywords	COVID-19 ; Forecasting model ; Time-series model ; Death rate ; DIR model ; Computer applications to medicine. Medical informatics ; R858-859.7
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effect of group schema therapy on physical self-concept and worry about weight and diet among obese women

Lida Shams Azar / Shahrbanoo Ghahari / Ali Shahbazi / Mehdi Ghezelseflo

Journal of Research & Health, Vol 8, Iss 6, Pp 548-

2018 Volume 554

Abstract: Obese women have negative physical self-concept and attitude about self .Schema therapy as a new approach in psychological intervention is effective in reduction of negative beliefs, self-concept and worry. The purpose of this study was to investigate ... ...

Abstract	Obese women have negative physical self-concept and attitude about self .Schema therapy as a new approach in psychological intervention is effective in reduction of negative beliefs, self-concept and worry. The purpose of this study was to investigate the effect of group schema therapy on physical self-concept and worry about weight and diet in women with obesity. This study was a quasi-experimental design using pretest-posttest and control group. Statistical population consists of 186 women who referred to a nutrition and diet therapy clinic and nutrition counseling center. After screening women with obesity, they were asked to fulfill Physical Self-Description Questionnaire (PSDQ) and Worry about Weight and Diet Scale (WWDS). Those who gained high scores in these questionnaires (40 women) selected for study. Among of them 30 women were selected randomly and placed in two experimental and control groups (15 persons in each group). The experimental group received 15 sessions of group schema therapy with 90 minutes per session and control group was in waiting list. Both groups completed PSDQ and WWDS in baseline and final intervention. The results showed that there is a significant difference in terms of physical self- concept and concern about weight and food diet between experimental and control group. Group schema therapy training for women with obesity can lead to improvement of physical self-concept and reduction of worry about weight and food diet.
Keywords	Anxiety ; Body Weight ; Diet ; Group ; Public aspects of medicine ; RA1-1270
Subject code	796
Language	English
Publishing date	2018-11-01T00:00:00Z
Publisher	Gonabad University of Medical Sciences
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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