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Published on: November 7, 2018
Laboratory diagnostic challenges in case/control studies of diarrhea in developing countries
Roy M Robins-Browne1, Myron M Levine
1Department of Microbiology and Immunology, The University of Melbourne, Victoria 3010, Australia. r.browne@unimelb.edu.au
Accurate laboratory tests are crucial for infectious diarrhea case/control studies. Evaluating diagnostic test performance on both patient and control samples is essential for reliable results, especially in developing countries.
Area of Science:
- Microbiology
- Epidemiology
- Clinical Diagnostics
Background:
- Case/control studies investigating acute infectious diarrhea rely on accurate laboratory diagnostic tests.
- Current pathogen detection methods are often evaluated solely on patient samples, leaving performance in healthy controls largely unknown.
- High pathogen prevalence in developing countries necessitates understanding test performance in both diarrheal and normal stool samples.
Purpose of the Study:
- To highlight the critical need for evaluating laboratory diagnostic test performance in both symptomatic patients and healthy controls for infectious diarrhea case/control studies.
- To emphasize the potential impact of test performance in control groups on the interpretation of epidemiological data.
Main Methods:
- This study is a conceptual analysis and literature review.
- It focuses on the implications of diagnostic test performance in case/control study designs for infectious diarrhea.
Main Results:
- Diagnostic tests for infectious diarrhea pathogens are frequently evaluated only on patient samples.
- The performance of these tests on samples from healthy control subjects is often not characterized.
- This lack of data can significantly affect the interpretation of case/control study findings due to potential pathogen presence in controls.
Conclusions:
- Accurate and dependable laboratory tests are fundamental for reliable case/control studies of infectious diarrhea.
- Thorough evaluation of diagnostic tests, including their performance in healthy controls, is essential for valid epidemiological conclusions.
- Understanding test performance across different populations is crucial for public health research, particularly in high-prevalence settings.
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