My understanding, and I could be wrong, is that the London School of Tropical Med biobank contains both patients who meet CCC and Fukuda patients who do not meet CCC.
But they use different names for the two groups so you can tell which is which. This is important because its separating the two groups right up front based on hallmarks like PEM. Maybe someone else who is more familiar with that effort can provide more information on what they do.
As AndyPR posted, the response said
It sounds like the approach taken in PACE - first select with an overly broad definition and then characterize with other definitions. But as David Tuller said in his 2015 article about PACE:
Bruce Levin, the Columbia University biostatistician, said the PACE investigators should not have assumed that the experience of a subgroup within an already defined population would match the experience of a group that hadn’t been pre-screened. “I would not accept an extrapolation to people diagnosed with alternative criteria from a subgroup comprising people satisfying both sets of criteria rather than just the alternative set of criteria,” he said, adding that reviewers should catch such questionable assumptions before publication.
Maybe I am wrong but it sounds like they are stepping into the same problem again.
I appreciate the value of a large cohort but a cohort of what? I am struggling to see how a big cohort will compensate for poorly characterized and selected patient cohorts. This sounds like it is essentially a cohort of medically unexplained fatigue. Will the man-made heterogeneity of such a cohort confound interpretation even with the big-data, genomics approach being taken?
Leaving aside the problem that Levin notes for the moment I'd want to know:
- what specific definitions and how they are being applied including what inclusion and what exclusion criteria. PACE claimed to characterize patients according to Fukuda but they only required symptoms to be present for 1 week and even their own publications acknowledged that that change could have resulted in diagnostic inaccuracy. Will they apply e.g. CCC's exclusion of all mental illness?
- What specific tools and methods they are using to qualify patients as having the hallmark criteria of ME, particularly PEM. Jason's written lots on the problems with identifying these symptoms depending on how the questions are asked and whether a certain level of severity and frequency is required
I'd like to see the group comment on the issue that Levin raised and also explicitly explain their methods for symptom characterization and patient selection and how they compare to those of e.g. the London School of Tropical Medicine, Naviaux, Davis, the Australians, and any number of other groups doing successful research on ME using ME definitions.