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Cancer case-control studies with other cancers as controls
A H Smith1, N E Pearce, P W Callas
1Department of Biomedical and Environmental Health Sciences, School of Public Health, University of California, Berkeley 94720.
International Journal of Epidemiology
|June 1, 1988
Summary
Using other cancer patients as controls in case-control studies can mitigate recall and interviewer bias. While selection bias is a concern, it can be managed, offering logistical and cost benefits for future cancer research.
Area of Science:
- Epidemiology
- Cancer Research
Background:
- Case-control studies are crucial for cancer research.
- Selection bias, recall bias, and interviewer bias are common challenges in selecting control groups.
- General population controls present unique difficulties, especially with deceased subjects.
Purpose of the Study:
- To review theoretical considerations for using other cancer patients as controls in cancer case-control studies.
- To evaluate the potential biases and advantages of this control selection strategy.
- To assess the future utility of this design in cancer epidemiology.
Main Methods:
- Theoretical review of control selection in case-control studies.
- Analysis of potential selection bias when using other cancers as controls.
- Comparison of other cancer controls with general population controls regarding recall and interviewer bias.
Main Results:
- Selection bias can occur if the exposure under study influences the risk of other cancers, potentially biasing the odds ratio towards unity.
- This bias is most pronounced with low-prevalence exposures and high attributable risks for other cancers.
- Other cancer controls offer advantages in reducing recall and interviewer bias compared to general population controls.
- Using other cancer patients as controls simplifies control selection for both live and deceased cases.
- Logistical and cost efficiencies are associated with employing other cancer patients as controls.
Conclusions:
- Using other cancer patients as controls is a viable strategy that can mitigate significant biases in case-control studies.
- Potential selection bias can be identified and managed using population data.
- The advantages regarding recall bias, interviewer bias, and logistical efficiency suggest increased adoption of this method.
- This approach holds particular promise for cancer registries and future epidemiological research.