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The PACE trial: It's time to broaden perceptions and move on
Keith J Petrie1, John Weinman2
11 University of Auckland, New Zealand.
Journal of Health Psychology
|August 15, 2017
Summary
Critiques of the PACE trial reveal how beliefs about chronic fatigue syndrome (CFS) impact research acceptance. Moving beyond debate, more data is needed on effective CFS treatments.
Area of Science:
- Medical research methodology
- Psychiatry
- Epidemiology
Background:
- Differing beliefs on the etiology of chronic fatigue syndrome (CFS) influence scientific study evaluation.
- The PACE trial has faced continued criticism, partly due to underlying causal beliefs and Cartesian dualism.
- The ongoing debate surrounding the PACE trial overlooks the incremental nature of scientific progress.
Purpose of the Study:
- To analyze the impact of differing causal beliefs on the acceptance and evaluation of scientific studies concerning chronic fatigue syndrome.
- To contextualize the reaction to the PACE trial within the framework of causal beliefs and philosophical dualism.
- To advocate for a shift from criticism towards data collection on effective CFS treatments.
Main Methods:
- Qualitative analysis of critiques and debates surrounding the PACE trial.
- Examination of the philosophical underpinnings (e.g., Cartesian dualism) influencing perceptions of CFS.
- Literature review on scientific incrementalism and research controversies.
Main Results:
- Critiques of the PACE trial are significantly influenced by pre-existing beliefs about the causes of CFS.
- A modern form of Cartesian dualism contributes to the polarized reactions to the PACE trial findings.
- The controversy may deter future research, potentially hindering progress in understanding and treating CFS.
Conclusions:
- Belief systems profoundly affect the scientific community's reception of research on chronic fatigue syndrome.
- The PACE trial controversy highlights the need for objective evaluation of scientific evidence, independent of philosophical biases.
- Further research focusing on collecting empirical data on effective treatments for CFS is crucial to advance the field.
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