USING CASE-CASE STUDY DESIGN: WHICH CAN BE THE PERFORMANCE?

  • Maria Irina BRUMBOIU “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, Romania
  • Irina IARU “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, Romania

Abstract

The case-case studies compare groups of patients classified by the subtype of the disease they present, to identify specific risk factors for the sub-category of patients with a characteristic of interest. Material and methods: This analysis brings attention to the main characteristics of case-case studies, with the aim of facilitating the understanding of methodology and the adequate way of implementing it, and the interpretation of the obtained results. Results: Specifically, this study design identifies the differences regarding risk factors between disease’s subtypes, reflecting their etiological heterogeneity. However, the association for potential risk factors that are common to comparison sub-groups cannot be identified and the risk revealed does not represent the risk level in the general population. One conducting a case-case study must consider both the characteristics of the chronic or infectious diseases category and the advantages and the limitation of this type of study. Conclusions: As advantages, the case-case study design helps minimizing the selection and recall bias and can be carried out for a shorter period of time, with fewer resources than conventional studies. Selection or information bias may persist, and caution is needed for the interpretation of results.

Author Biographies

Maria Irina BRUMBOIU, “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, Romania

Faculty of Medicine
Department of Epidemiology

Irina IARU, “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, Romania

Faculty of Pharmacy
Department of Pharmacology, Physiology and Physiopathology

References

1. Martínez ME, Cruz GI, Brewster AM, Bondy ML, Thompson PA. What can we learn about disease etiology from case-case analyses? Lessons from breast cancer. Cancer Epidemiol Biomarkers Prev 2010; 19(11): 2710-2714 / doi:10.1158/1055-9965.EPI-10-0742.
2. Robles-Fernandez I, Martinez-Gonzalez LJ, Pascual-Geler M, et al. Association between polymor-phisms in sex hormones synthesis and metabolism and prostate cancer aggressiveness. PLoS One 2017; 12(10): e0185447 / doi: 10.1371/journal.pone.0185447.
3. Baglia ML, Cook LS, Mei-Tzu C, et al. Alcohol, smoking, and risk of Her2-overexpressing and triple-negative breast cancer relative to estrogen receptor-positive breast cancer. Int J Cancer 2018; 143(8): 1849-1857 / doi: 10.1002/ijc.31575.
4. Wild C, Vineis P, Garte S. Molecular Epidemiology of Chronic Diseases. London: Wiley, 2008.
5. Abubakar M, Chang-Claude J, Ali HR, et al. Etiology of hormone receptor positive breast cancer differs by levels of histologic grade and proliferation. Int J Cancer 2018; 143(4): 746-757 / doi: 10.1002/ijc.31352.
6. McCarthy N, Giesecke J. Case-case comparisons to study causation of common infectious diseases. Int J Epidemiol 1999; 28: 764-768.
7. Benedict KM, Collier SA, Marder EP, Hlavsa MC, Fullerton KE, Yoder JS. Case-case analyses of cryptosporidiosis and giardiasis using routine national surveillance data in the United States - 2005-2015. Epidemiol Infect 2019; 147: e178 / doi: 10.1017/ S0950 2688 19000645.
8. Gobin M, Hawker J, Cleary P, et al. National outbreak of Shiga toxin-producing Escherichia coli O157:H7 linked to mixed salad leaves, United Kingdom, 2016. Euro Surveill 2018; 23(18): 17-00197 doi: 10.2807/1560-7917.ES.2018.23.18.17-00197.
9. Pogreba-Brown K, Austhof E, Ellingson K. Methodology minute: An overview of the case-case study design and its applications in infection prevention. Am J Infect Control 2020; 48(3): 342-344 / doi: 10.1016/j.ajic.2018.11.024.
10. Mulchandani R, Brehmer C, Butt S, et al. Outbreak of Shiga toxin-producing Escherichia coli O157 linked with consumption of a fast-food product containing imported cucumbers, United Kingdom, August 2020. Int J Infect Dis 2021; 110(Suppl 1): S62-S68 / doi: 10.1016/ j.ijid.2021.04.001.
11. Pogreba-Brown K, O'Connor P, Matthews J, Barrett E, Bell ML. Case-case analysis of Campylobacter and Salmonella - using surveillance data for outbreak investigations and monitoring routine risk factors. Epidemiol Infect 2018; 146(15): 1916-1921 / doi:10.1017/ S0950268818002200.
12. Logan LK, Nguyen DC, Scaggs Huang FA, et al. A Multi-Centered Case-Case-Control Study of Factors Associated With Klebsiella pneumoniae Carbapenemase-Producing Enterobacteriaceae Infec-tions in Children and Young Adults. Pediatr Infect Dis J 2019; 38(5): 490-495 / doi: 10.1097/ INF.00 00000000002176.
13. Saito S, Hayakawa K, Tsuzuki S, et al. A Matched Case-Case-Control Study of the Impact of Clinical Outcomes and Risk Factors of Patients with IMP-Type Carbapenemase-Producing Carbapenem-Resistant Enterobacteriaceae in Japan. Antimicrob Agents Chemother 2021; 65(3): e01483-20 / doi: 10.1128/AAC.01483-20.
14. Jennings MC, Tilley DH, Ballard SB et al. Case-Case Analysis Using 7 Years of Travelers' Diarrhea Surveillance Data: Preventive and Travel Medicine Applications in Cusco, Peru. Am J Trop Med Hyg 2017; 96(5): 1097-1106 / doi:10.4269/ajtmh.16-0633.
15. Pogreba-Brown K, Ernst K, Harris RB. Case-case methods for studying enteric diseases: A review and approach for standardization. OA Epidemiology 2014; 2(1): 7 / www.oapublishinglondon. com/ article/1431.
Published
2022-06-30
Section
PREVENTIVE MEDICINE - LABORATORY