Literature DB >> 25900963

Matching for risk factors in case control studies.

Kanica Kaushal1.   

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Year:  2015        PMID: 25900963      PMCID: PMC4418164          DOI: 10.4103/0971-5916.155597

Source DB:  PubMed          Journal:  Indian J Med Res        ISSN: 0971-5916            Impact factor:   2.375


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Sir, Apropos of article on genetic and environment factors in the aetiology of colorectal cancer in Malaysia1, the authors need to be complimented. As mentioned in the abstract under the sub-heading “Methods” this was a case control study. A total of 160 Malaysian subjects were recruited, including both colorectal cancer cases (CRC) and controls. The inclusion criteria for controls were: Malaysians aged more than 18 yr who had never been diagnosed with any cancer and did not have a family history of any cancers. However, I have a few concerns regarding the methodology adopted by the authors. The authors have taken into account (by way of exclusion) diagnosis of any malignancy and chronic illnesses before or after recruitment and they have matched controls to cases based on their gender, age, ethnicity and smoking status. The outcome of this study would have been useful for programme implementers and clinicians if other factors influencing the outcome were incorporated in the study. This could have been achieved by matching the following factors among cases or controls or accounting for them post-hoc at the time of analysis: For example, a large body of evidence indicates that several dietary and lifestyle factors are likely to have a major influence on the risk of colorectal cancer. Consumption of processed or red meat, especially when cooked at high temperatures is associated with increased risk of colorectal cancer2. Diets high in lipids, especially animal fat increase the risk of colorectal cancer. Also the pooled relative risk of colorectal cancers for the obese versus normal categories of BMI (body mass index) was 1.351 for studies conducted in Asia3. Further, the risk of individuals with diabetes to develop colorectal cancer is 1.22 times higher than that of individuals without diabetes4. Modifiable non dietary factors like cigarette smoking has been matched for in the present study but the authors have not considered alcohol use for the same. Alcohol consumption is significantly associated with increased risk of colon cancer5. All these risk factors should have been matched by taking the dietary history, personal history (for heavy drinkers), medical history (for diabetes) and anthropometric measurements to calculate BMI (to rule out obesity). Matching would have ensured that the controls were similar to the cases with regard to variables that could confound the outcome of the study.
  5 in total

Review 1.  Diabetes mellitus and the occurrence of colorectal cancer: an updated meta-analysis of cohort studies.

Authors:  Lei Wu; Chao Yu; Han Jiang; Jun Tang; He-lang Huang; Jing Gao; Xin Zhang
Journal:  Diabetes Technol Ther       Date:  2013-03-29       Impact factor: 6.118

2.  Alcohol consumption and risk of colon cancer: evidence from the national health and nutrition examination survey I epidemiologic follow-up study.

Authors:  Lihchyun Joseph Su; Lenore Arab
Journal:  Nutr Cancer       Date:  2004       Impact factor: 2.900

Review 3.  Diet and supplements and their impact on colorectal cancer.

Authors:  Marinos Pericleous; Dalvinder Mandair; Martyn E Caplin
Journal:  J Gastrointest Oncol       Date:  2013-12

Review 4.  Obesity and risk of colorectal cancer: a systematic review of prospective studies.

Authors:  Yanlei Ma; Yongzhi Yang; Feng Wang; Peng Zhang; Chenzhang Shi; Yang Zou; Huanlong Qin
Journal:  PLoS One       Date:  2013-01-17       Impact factor: 3.240

5.  Role of genetic & environment risk factors in the aetiology of colorectal cancer in Malaysia.

Authors:  Nurul Hanis Ramzi; Jagdish Kaur Chahil; Say Hean Lye; Khamsigan Munretnam; Kavitha Itagi Sahadevappa; Sharmila Velapasamy; Nikman Adli Nor Hashim; Soon Keat Cheah; Gerard Chin Chye Lim; Heselynn Hussein; Mohd Roslan Haron; Livy Alex; Lian Wee Ler
Journal:  Indian J Med Res       Date:  2014-06       Impact factor: 2.375

  5 in total

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