Source:http://linkedlifedata.com/resource/pubmed/id/18509007
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
2
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pubmed:dateCreated |
2008-5-29
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pubmed:abstractText |
Type 2 diabetic patients have increased cancer risk. We developed and validated an all-site cancer risk score in a prospective cohort of 7374 Chinese type 2 diabetic patients free of known history of cancer at enrolment, using split-half validation. Spline Cox model was used to detect common risk factors of cancer and to guide linear transformation of non-linear risk factors. After a median follow-up period of 5.45 years, 365 patients (4.95%) developed cancer. Body mass index (BMI; <24.0 or > or =27.6 kg/m2), triglyceride (> or =0.81 to <1.41 mmol/l), high-density lipoprotein cholesterol (<0.9 or > or =1.8 mmol/l), total cholesterol (<4.3 mmol/l) and white blood cell (WBC) count (<5.8x10(9) count per litre) were associated with increased cancer risks and exhibited non-linear relationships. We further linear transformed these terms for selection using backward Cox regression (P<0.05 for stay) in the training dataset. In the test dataset, calibration was checked using Hosmer-Lemeshow test and discrimination checked using area under receiver operating characteristic curve. In addition to age and current smoking, only linear-transformed total cholesterol and WBC count were selected. The risk score was 0.0488xage (years)-0.5810xtotal cholesterol (mmol/l, coded to 4.3 if >4.3)-0.3596xWBC count (10(9) counts/l, 5.8 if >5.8)+0.6390xcurrent smoking status (1 if yes). The 5-year probability of cancer was 1-0.9590(EXP(0.9382x(RISK SCORE+1.5903))). The predicted cancer probability was not significantly different from the observed cancer probability during the 5-year follow-up. The adjusted area under receiver operating characteristic curve was 0.712. In conclusion, BMI, lipids and WBC count have predicting values for cancer.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:chemical | |
pubmed:status |
MEDLINE
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pubmed:month |
Jun
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pubmed:issn |
1351-0088
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pubmed:author | |
pubmed:issnType |
Print
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pubmed:volume |
15
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
597-607
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pubmed:dateRevised |
2009-11-3
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pubmed:meshHeading |
pubmed-meshheading:18509007-Aged,
pubmed-meshheading:18509007-Cholesterol,
pubmed-meshheading:18509007-Diabetes Mellitus, Type 2,
pubmed-meshheading:18509007-Female,
pubmed-meshheading:18509007-Follow-Up Studies,
pubmed-meshheading:18509007-Humans,
pubmed-meshheading:18509007-Leukocyte Count,
pubmed-meshheading:18509007-Male,
pubmed-meshheading:18509007-Middle Aged,
pubmed-meshheading:18509007-Neoplasms,
pubmed-meshheading:18509007-Nonlinear Dynamics,
pubmed-meshheading:18509007-Predictive Value of Tests,
pubmed-meshheading:18509007-Prospective Studies,
pubmed-meshheading:18509007-Risk Assessment,
pubmed-meshheading:18509007-Risk Factors,
pubmed-meshheading:18509007-Smoking
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pubmed:year |
2008
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pubmed:articleTitle |
Predicting values of lipids and white blood cell count for all-site cancer in type 2 diabetes.
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pubmed:affiliation |
Department of Medicine and Therapeutics, The Chinese University of Hong Kong, The Prince of Wales Hospital, Shatin, Hong Kong SAR, China.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't,
Validation Studies
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