scholarly journals A spatial database of colorectal cancer patients and potential nutritional risk factors in an urban area in the Middle East

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Neda Firouraghi ◽  
Nasser Bagheri ◽  
Fatemeh Kiani ◽  
Ladan Goshayeshi ◽  
Majid Ghayour-Mobarhan ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Spatial Analysis ◽  
Spatial Variation ◽  
Cancer Patients ◽  
Age Groups ◽  
Geographical Information ◽  
Nutritional Risk ◽  
Research Report ◽  
The City

Abstract Objectives Colorectal cancer (CRC) is the third most common cancer across the world that multiple risk factors together contribute to CRC development. There is a limited research report on impact of nutritional risk factors and spatial variation of CRC risk. Geographical information system (GIS) can help researchers and policy makers to link the CRC incidence data with environmental risk factor and further spatial analysis generates new knowledge on spatial variation of CRC risk and explore the potential clusters in the pattern of incidence. This spatial analysis enables policymakers to develop tailored interventions. This study aims to release the datasets, which we have used to conduct a spatial analysis of CRC patients in the city of Mashhad, Iran between 2016 and 2017. Data description These data include five data files. The file CRCcases_Mashhad contains the geographical locations of 695 CRC cancer patients diagnosed between March 2016 and March 2017 in the city of Mashhad. The Mashhad_Neighborhoods file is the digital map of neighborhoods division of the city and their population by age groups. Furthermore, these files include contributor risk factors including average of daily red meat consumption, average of daily fiber intake, and average of body mass index for every of 142 neighborhoods of the city.

scholarly journals A Geospatial database of gastric cancer patients and associated potential risk factors including lifestyle and air pollution

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Fatemeh Hashemi Amin ◽  
Mahtab Ghaemi ◽  
Sayyed Mostafa Mostafavi ◽  
Ladan Goshayeshi ◽  
Khadijeh Rezaei ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Cancer Patients ◽  
Spatial Data ◽  
Geographical Information Systems ◽  
Dietary Habits ◽  
Age Groups ◽  
Geographical Location ◽  
Geographical Information ◽  
Point Feature

Abstract Objectives Gastric cancer (GC) is a multifactorial disease and the fifth most frequent diagnosed cancer worldwide. It accounts for one third of cancer-related mortalities. Geospatial analysis using geographical information systems (GIS) can provide an efficient solution to identify spatial disparities associated with GC. As such, GIS enables policymakers to control cancer in a better way and identify the regions where interventions are needed. This study aims to publish a comprehensive dataset, which was applied to conduct a spatial analysis of GC patients in the city of Mashhad, Iran. Data description We provide a personal geodatabase, a Microsoft Access database that can store, query, and manage both spatial and non-spatial data, which contains four feature classes. “Male_Stomach_Cancer_Patients” and “Female_Stomach_Cancer_Patients” are point feature classes, which show the age and geographical location of 1156 GC cancer patients diagnosed between 2014 and 2017. “Air_Polution_Mashhad” is another point feature class that reveals the amount of six air pollutants, which was taken from Mashhad Environmental Pollutants Monitoring Center between 2017 and 2018. Finally, “Stomach_Cancer_and_Risk_Factors” is a polygon feature class of neighborhood division of Mashhad, consisting of contributor risk factors including dietary habits, smoking, alcohol use, body mass index and population by age groups for all 165 city neighborhoods.

scholarly journals The pattern of Comorbidities and Associated Risk Factors among Colorectal Cancer Patients in Spain: CoMCoR study

2019 ◽  
Author(s):  
Miguel Angel Luque-Fernandez ◽  
Daniel Redondo-Sánchez ◽  
Miguel Rodríguez-Barranco ◽  
Ma Carmen Carmona-García ◽  
Rafael Marcos-Gragera ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Surgical Treatment ◽  
Cancer Patients ◽  
Cancer Diagnosis ◽  
Web Application ◽  
Stage Iv ◽  
Chronic Obstructive ◽  
Limited Information ◽  
Colorectal Cancer Patients

AbstractColorectal cancer is the second most frequently diagnosed cancer in Spain. Cancer treatment and outcomes can be influenced by tumor characteristics, patient general health status and comorbidities. Numerous studies have analyzed the influence of comorbidity on cancer outcomes, but limited information is available regarding the frequency and distribution of comorbidities in colorectal cancer patients, particularly elderly ones, in the Spanish population. We developed a population-based high-resolution cohort study of all incident colorectal cancer cases diagnosed in Spain in 2011 to describe the frequency and distribution of comorbidities, as well as tumor and healthcare factors. We then characterized risk factors associated with the most prevalent comorbidities, as well as dementia and multimorbidity, and developed an interactive web application to visualize our findings. The most common comorbidities were diabetes (23.6%), chronic obstructive pulmonary disease (17.2%), and congestive heart failure (14.5%). Dementia was the most common comorbidity among patients aged ≥75 years. Patients with dementia had a 30% higher prevalence of being diagnosed at stage IV and the highest prevalence of emergency hospital admission after colorectal cancer diagnosis (33%). Colorectal cancer patients with dementia were nearly three times more likely to not be offered surgical treatment. Age ≥75 years, obesity, male sex, being a current smoker, having surgery more than 60 days after cancer diagnosis, and not being offered surgical treatment were associated with a higher risk of multimorbidity. Patients with multimorbidity aged ≥75 years showed a higher prevalence of hospital emergency admission followed by surgery the same day of the admission (37%). We found a consistent pattern in the distribution and frequency of comorbidities and multimorbidity among colorectal cancer patients. The high frequency of stage IV diagnosis among patients with dementia and the high proportion of older patients not being offered surgical treatment are significant findings that require policy actions.

scholarly journals Altered Preoperative Nutritional Status in Colorectal Cancer: A Not So Infrequent Issue

2020 ◽  
Vol 2020 ◽  
pp. 1-6
Author(s):  
Javier Páramo-Zunzunegui ◽  
Araceli Ramos-Carrasco ◽  
Marcos Alonso-García ◽  
Rosa Cuberes-Montserrat ◽  
Gil Rodríguez-Caravaca ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Weight Loss ◽  
Observational Study ◽  
Nutritional Status ◽  
Cancer Patients ◽  
Prospective Observational Study ◽  
Colorectal Neoplasia ◽  
Nutritional Risk ◽  
A Value ◽  
Asymptomatic Patients

Introduction. Malnutrition and weight loss in cancer patients is a common problem that affects the prognosis of the disease. In the case of CRC, malnutrition rates range between 30 and 60%. Objectives. Description of the preoperative nutritional status of patients diagnosed with colorectal neoplasia who will undergo surgery. Materials and Methods. A prospective observational study is performed. Results. Of 234 patients studied, we observed that 139 (59%) had some degree of nutritional risk. Of all of them, 44.9% (N = 47) had 1-2 points according to MUST and 25% (N = 27) had more than 2 points. No differences were found when studying nutritional risk according to the location of the neoplasm. It was observed that 2.15% of the patients were underweight, 51% overweight, and 23% obese. 19.4% of patients lost less than 5 kg in the 3–6 months prior to diagnosis, 20.7% lost between 5 and 10 kg, and 2.1% lost more than 10 kg. In asymptomatic patients, the weight loss was lower than in symptomatic patients, loss <5 kg, 8.2% vs. 22.8%, and loss 5–10 kg, 16.2% vs. 29.3%, with a value of p = 0.016 . 5% (N = 7) of the patients had hypoalbuminemia record. 16.5% (N = 23) had some degree of prealbumin deficiency and 20.9% (N = 29) of hypoproteinemia. Symptomatic patients had more frequent analytical alterations, 1-2 altered parameters in 48.8% (N = 20) of asymptomatic vs. 61.2% (N = 22) in the symptomatic, p = 0.049 .

scholarly journals Statistical and Spatial Analysis of Hurricane-induced Roadway Closures and Power Outages

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1098 ◽  
Author(s):  
Mahyar Ghorbanzadeh ◽  
Mohammadreza Koloushani ◽  
Mehmet Baran Ulak ◽  
Eren Erman Ozguven ◽  
Reza Arghandeh Jouneghani
Keyword(s):  
Spatial Analysis ◽  
Geographical Information Systems ◽  
Density Ratio ◽  
Geographical Information ◽  
Second Step ◽  
Power Outages ◽  
The Us ◽  
Infrastructure System ◽  
Detailed Assessment ◽  
The City

Hurricanes lead to substantial infrastructure system damages, such as roadway closures and power outages, in the US annually, especially in states like Florida. As such, this paper aimed to assess the impacts of Hurricane Hermine (2016) and Hurricane Michael (2018) on the City of Tallahassee, the capital of Florida, via exploratory spatial and statistical analyses on power outages and roadway closures. First, a geographical information systems (GIS)-based spatial analysis was conducted to explore the power outages and roadway closure patterns in the city including kernel density estimation (KDE) and density ratio difference (DRD) methods. In order to provide a more detailed assessment on which population segments were more affected, a second step included a statistical analysis to identify the relationships between demographic- and socioeconomic-related variables and the magnitude of power outages and roadway closures caused by these hurricanes. The results indicate that the high-risk locations for roadway closures showed different patterns, whereas power outages seemed to have similar spatial patterns for the hurricanes. The findings of this study can provide useful insights and information for city officials to identify the most vulnerable regions which are under the risk of disruption. This can lead to better infrastructure plans and policies.

Detection of Metachronous Neoplasms in Colorectal Cancer Patients: Identification of Risk Factors

2007 ◽  
Vol 50 (7) ◽  
pp. 971-980 ◽  
Author(s):  
Belen Ballesté ◽  
Xavier Bessa ◽  
Virginia Piñol ◽  
Sergi Castellví-Bel ◽  
Antoni Castells ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Risk Factors ◽  
Cancer Patients ◽  
Metachronous Neoplasms ◽  
Colorectal Cancer Patients
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