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.

Notable studies using Oxford criteria

• FINE trial
• PACE trial

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.