Literature DB >> 17876333

Selection of controls.

M von Euler-Chelpin, E Lynge.   

Abstract

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Year:  2007        PMID: 17876333      PMCID: PMC2360399          DOI: 10.1038/sj.bjc.6603975

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


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Sir, Dalton published a paper in the British Journal of Cancer on ‘The relation between socioeconomic and demographic factors and tumour stage in women diagnosed with breast cancer in Denmark, 1983–1999’. Dalton conducted a case-control study using 23 808 women diagnosed with high-risk breast cancer as cases, and 6007 women diagnosed with low-risk breast cancer as controls. Using women with ‘basic school/high school’ education as baseline, they found the adjusted odds ratio for women with ‘vocational training’ to be 0.92, and that for women with ‘higher education’ to be 0.88. In the discussion, Dalton claimed that their result ‘contrasts with the increasing risk for breast cancer with increasing education’ found by Danø , and also based on Danish data. They commented that ‘It remains unclear whether the reason for the disparity by risk-group is delay in diagnosis or differing biology of cancers in the groups with less education and income compared with more advantaged groups’. The explanation of the contrasting results is, however, much more simple. The study by Danø was a cohort study comparing breast cancer incidence rates and breast cancer mortality rates across educational groups. The Dalton study was, however, not a valid case–control study for estimating the relative risk of breast cancer incidence in high educated vs low educated women. Such a study would require that incidence density sampling had been used in the selection of controls, and Dalton did not follow this procedure. As it stands, the Dalton study simply presented odds of high-risk breast cancers versus low-risk breast cancers across educational groups. The Dalton findings can as a matter of fact easily be derived from the Danø data. Using breast cancer mortality as a proxy for high-risk breast cancer, and breast cancer incidence as a proxy for low-risk breast cancer, the odds ratio pattern from the Danø data becomes almost identical to the odds ratio pattern from the Dalton data, Table 1.
Table 1

Rate ratios of breast cancer incidence and breast cancer mortality by educational group in Denmark 1970–1998, breast cancer mortality rate ratio divided by breast cancer incidence rate ratio (2), and odds ratios for high-risk vs low-risk breast cancer by occupational group in Denmark 1983–1999 (1)

 Danø et al (2004) (2)
Dalton et al (2006) (1)
Education BC incidence BC mortality BC mortality vs BC incidence High-risk BC vs low-risk BC
Low1111
Medium1.211.070.880.92
High1.381.190.860.88
This comparison of results from two Danish studies on socioeconomic risk factors for breast cancer really illustrates the importance of correct incidence density sampling of controls in case–control studies.
  2 in total

1.  Fertility pattern does not explain social gradient in breast cancer in denmark.

Authors:  Hella Danø; Kasper Daniel Hansen; Per Jensen; Jørgen Holm Petersen; Rune Jacobsen; Marianne Ewertz; Elsebeth Lynge
Journal:  Int J Cancer       Date:  2004-09-01       Impact factor: 7.396

2.  The relation between socioeconomic and demographic factors and tumour stage in women diagnosed with breast cancer in Denmark, 1983-1999.

Authors:  S O Dalton; M Düring; L Ross; K Carlsen; P B Mortensen; J Lynch; C Johansen
Journal:  Br J Cancer       Date:  2006-08-08       Impact factor: 7.640

  2 in total

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