The CCC is definitely showing up in more recent studies. I believe the CAA used it or a close approximation of it in their XMRV study and I wouldn't be surprised if they are using it in other studies or will be. We may be going through a period in which studies use both definitions (ie the Lights) and examine how each definition effects the results; that would be the best way to go I think because it would give them to validate how different CCC is vis a vis the Fukuda definition. You'll have to validate the new definition vs the old accepted definition in order to get traction.
It could also be that some discovery will come along and split CFS up regardless of the definition. The Lipkin pathogen has the ability the lay the groundwork for that; it will probably show that a subset of people with CFS have pathogens and a subset do not. Or it may be that some other biomarker will be found; the PHANU unit sounds pretty optimistic that they may be able to produce a biomarker within 5 years.
There's a couple of different ways then to get a more coherent patient group into studies. Hopefully at least one of them will happen over the years.
Yes, it's always possible that some discovery will come along and split CFS up regardless of the definition. But over the decades, that hasn't happened using Fukuda.
It's more likely that a biomarker will be discovered with the help of a better definition. The definition is key. Ian Lipkin's comments bear repeating: The key to maximizing the outcomes of these tests is the criteria of the patients selected, according to Dr. Lipkin. He said this will give the greatest possibility of finding objective measures for monitoring and measuring the disease.
The ME-ICC experts agree in principle with Ian Lipkin. They introduce their ME criteria by criticizing the damaging effect of CFS definitions on research: Patient sets that include people who do not have the disease
lead to biased research findings, inappropriate treatments and waste scarce research funds. And they conclude that the new criteria may
assist in developing consistent biomarkers and further insights into into the mechanism and aetiology of myalgic encephalomyelitis (emphasis mine).
If insanity is defined as doing the same thing over and over again and expecting a different result, then using Fukuda over and over again and expecting to find a biomarker qualifies as insanity. Your depiction of intransigence abroad (the UK has a long history of research into ME/CFS [
sic] which means that their policies are largely anchored into place) applies equally to the long history of research into CFS anchored in Fukuda.
Because the CCC definition (like the ICC) is more restrictive than Fukuda, it operates as a subset, rendering superfluous the method of validation you describe. Researchers need only require that patients meet both sets of criteria at entrance. In that way, Fukuda will be rendered obsolete without the trouble of examining how each definition affects the result. This is the ME/CFS approach that Ian Lipkin is using in the Columbia University-based study (adding in signs of infection at onset).
According to Dan Peterson, the CCC is now the most accepted clinical definition of our disease. Because it creates the purest cohort with the least psychiatic co-morbidity, it's used in most clinical trials now. Perhaps it will be replaced by the ICC for research purposes soon. The ICC has the advantage of having been designed by researchers for research, without any taint of sponsorship. It better describes the presumed pathogenesis underlying the symptoms, and it suggests subsets that may strengthen some research designs:
Classifying patients by subgroups to enable the comparison of patients within the diagnosis of ME may be helpful in some studies.
1 Onset: acute infectious or gradual.
2 Onset severity: may be a good predictor of severity in the chronic phase.
3 Symptom severity: mild, moderate, severe, very severe.
4 Criterial subgroups: neurological, immune, energy metabolism/transport or eclectic.
Getting more coherent patient groups into studies doesn't need to take years. Heaven knows, we deserve the benefit of optimized research results now.