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Showing 3 results for Colorectal Cancer

M Rahimkhani, Ma Mohagheghi,
Volume 1, Issue 2 (2-2008)
Abstract

Background and Aim: The human bowel contains a large and dynamic bacterial population (more than 500 species of bacteria). Some intestinal bacteria such as Streptococcus bovis , Enterococcus and Bacteroides fragilis have previously been suggested to be implicated in the promotion of colon carcinogenesis probably through the conversion of mutagen metabolites.

Materials and Methods: Thirty patients with colorectal cancer confirmed by colonoscopy examination and pathological survey were evaluated. Thirty healthy people who matched by sex and age with patient group were identified. Fecal samples were collected from patient and control groups were cultured in specific and non-specific culture media (aerobic and nonaerobic situations).Organisms isolated by microbial and biochemical pathways.

Results: S. bovis was predominant fecal microbial flora in nine (39.1%) patients and six (26.1%) of control group (P=0.657). Entrococcus was predominant fecal microbial flora in 6 (26.1%) patients and 2 (8.7%) of control group (P=0.657). B. fragillis was predominant fecal microbial flora in 8 (21.7%) patients and 2 (5.4%) of control group (P= 0.062).

Conclusion: Our results by fisher statistical analysis show that the incidences of fecal S. bovis, Enterococcus and B. fragilis in colorectal cancer were not significantly higher than health people.

 


Raoof Nopour, Mohammad Shirkhoda, Sharareh Rostam Niakan Kalhori,
Volume 14, Issue 2 (5-2020)
Abstract

Background and Aim: Colorectal cancer is one of the most common gastrointestinal cancers among human beings and the most important cause of death in the world. Based on the risk of colorectal cancer for individuals, using an appropriate screening program can help to prevent the disease. Therefore, the purpose of this study was to design a model for screening colorectal cancer based on risk factors to increase the survival rate of the disease on the one hand and to reduce the mortality rate on the other.
Materials and Methods: By reviewing articles and patients' records, 38 risk factors were detected. To determine the most important risk factors clinically, CVR(content validity ratio) was used; and considering the collected data, Spearman correlation coefficient and logistic regression analysis were applied for statistical analyses. Then, four algorithms -- J-48, J-RIP, PART and REP-Tree -- were used for data mining and rule generation. Finally, the most common model was obtained based on comparing the performance of the algorithms.
Results: After comparing the performance of algorithms, the J-48 algorithm with an F-Measure of 0.889 was found to be better than the others.
Conclusion: The results of evaluating J-48 data mining algorithm performance showed that this algorithm could be considered as the most appropriate model for colorectal cancer risk prediction.

Keyhan Fatehi, Farimah Rahimi, Reza Rezayatmand,
Volume 17, Issue 1 (3-2023)
Abstract

Background and Aim: Colorectal cancer is one of the most common cancers that its incidence and prevalence and so deaths due to this cancer have increased worldwide recently. This study examines the economic burden of colorectal cancer from different perspectives by conducting a scoping review.
Materials and Methods: In this scoping review, by searching Scopus, PubMed, Embase, Cochrane, and Web of Science, the articles reporting the costs of CRC were reviewed. The search was limited to those published in the past years leading up to 2020. In addition to categorizing different aspects of the reviewed paper, per capita costs were adjusted with the purchasing power parity in order to make some comparisons possible. In this study, the calculated costs of retrieved studies were categorized based on the perspective of each study.
Results: Out of 29 studies, only two have reported indirect costs of CRC, and 4 studies have reported both direct and indirect costs. In other studies, only direct costs of CRC have been reported. Nearly 40% of studies calculated CRC costs from the provider’s perspective. The highest reported annual per-patient cost was $175020(PPP-adjusted) which is related to the average annual costs of patients with CRC at the fourth stage in the United States from a provider perspective. The lowest reported amount was $ 954(PPP-adjusted) which was related to average annual inpatient costs in Brazil from a provider perspective.
Conclusion: Due to variations in study characteristics in terms of perspective, type of costs, type of patient included, etc. any comparison between the economic burden of CRC should be made with caution. However, reviewing various aspects of the economic burden of CRC reported in included studies, will provide researchers and policymakers with a better insight into the CRC burden while designing intervention programs will reduce the budget impact of the those programs.


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