How have selection bias and disease misclassification undermined the validity of myalgic encephalomyelitis/chronic fatigue syndrome studies?
How have selection bias and disease misclassification undermined the validity of myalgic encephalomyelitis/chronic fatigue syndrome studies? is a paper that compares the selection criteria of the Oxford criteria (OC) and the Canadian Consensus Criteria (CCC) noting that for every 15 patients selected under the Oxford criteria there are 14 false positives when compared to CCC.
The authors suggest that in a clinical setting SEID criteria from the Institute of Medicine report or the Fukuda criteria (CDC, 1994) can be used to diagnose and then those patients can participate in research.
Authors[edit | edit source]
Citation[edit | edit source]
Nacul, Luis, Eliana M. Lacerda, Caroline C. Kingdon, Hayley Curran, and Erinna W. Bowman. "How have selection bias and disease misclassification undermined the validity of myalgic encephalomyelitis/chronic fatigue syndrome studies?." Journal of health psychology (2017): 1359105317695803.
Abstract[edit | edit source]
Myalgic encephalomyelitis/chronic fatigue syndrome has been a controversial diagnosis, resulting in tensions between patients and professionals providing them with care. A major constraint limiting progress has been the lack of a ‘gold standard’ for diagnosis; with a number of imperfect clinical and research criteria used, each defining different, though overlapping, groups of people with myalgic encephalomyelitis or chronic fatigue syndrome. We review basic epidemiological concepts to illustrate how the use of more specific and restrictive case definitions could improve research validity and drive progress in the field by reducing selection bias caused by diagnostic misclassification.
Summary[edit | edit source]
There are no established biomarkers for ME/CFS, so research studies rely on selecting patients using diagnostic criteria - with over 20 different diagnostic criteria to choose from. Selection bias can be recognized when only the broadcast diagnostic criteria in research - the Oxford criteria or the Australian criteria without identifying or reporting on subgroups - there is a much greater risk of including false positives in clinical trial results (patients incorrectly diagnosed with ME/CFS). In a clinical trial it is possible that this selection bias may result in a null result or adverse effect for patients meeting the Canadian Consensus Criteria going unrecognized, due to a positive outcome for the patients meeting only the broadest Oxford criteria - which identifies 15 times more patients.
Using diabetes as a comparison, failing to distinguish between type 1 diabetes and type 2 diabetes in a clinical trial would allow a drug that is only effective for type 2 diabetes to appear effective for all cases of diabetes, since the greater number of patients with type 2 diabetes would mask any ineffective or harmful result in patients with type 1 diabetes. This over-generalization of results can be seen when psychosocial clinical trial results are assessed by excluding those trials using the Oxford criteria - any positive result for cognitive behavioral therapy or graded exercise therapy treatments totally disappears.
Notable studies using Oxford criteria[edit | edit source]
See also[edit | edit source]
References[edit | edit source]
- Nacul, Luis; Lacerda, Eliana M; Kingdon, Caroline C; Curran, Hayley; Bowman, Erinna W (March 1, 2017). "How have selection bias and disease misclassification undermined the validity of myalgic encephalomyelitis/chronic fatigue syndrome studies?". Journal of Health Psychology: 1359105317695803. doi:10.1177/1359105317695803. ISSN 1359-1053. PMC 5581258. PMID 28810428.
bias Bias in research is "a systematic deviation of an observation from the true clinical state". (Learn more: me-pedia.org)
Canadian Consensus Criteria (CCC) - A set of diagnostic criteria used to diagnose ME/CFS, developed by a group of practicing ME/CFS clinicians in 2003. The CCC is often considered to be the most complex criteria, but possibly the most accurate, with the lowest number of patients meeting the criteria. Led to the development of the International Consensus Criteria (ICC) in 2011.
Centers for Disease Control and Prevention (CDC) - The Centers for Disease Control and Prevention is a U.S. government agency dedicated to epidemiology and public health. It operates under the auspices of the Department of Health and Human Services.
myalgic encephalomyelitis (M.E.) - A disease often marked by neurological symptoms, but fatigue is sometimes a symptom as well. Some diagnostic criteria distinguish it from chronic fatigue syndrome, while other diagnostic criteria consider it to be a synonym for chronic fatigue syndrome. A defining characteristic of ME is post-exertional malaise (PEM), or post-exertional neuroimmune exhaustion (PENE), which is a notable exacerbation of symptoms brought on by small exertions. PEM can last for days or weeks. Symptoms can include cognitive impairments, muscle pain (myalgia), trouble remaining upright (orthostatic intolerance), sleep abnormalities, and gastro-intestinal impairments, among others. An estimated 25% of those suffering from ME are housebound or bedbound. The World Health Organization (WHO) classifies ME as a neurological disease.