Simon M
Senior Member (Voting Rights)
Thanks for the usual smart analysis.Some notes:
1) One big, very big, problem with this study is that the researchers could only screen 5622 households of the 147,954 phone numbers they tried to contact. The authors note that "Using telephones is becoming an increasingly difficult method to recruit subjects." We can only hope that those 5622 household form a representative sample of the whole but it is likely that there was some selection bias. Households who know somebody with significant fatigue might be more inclined to respond and participate, which is why I think the calculated prevalence rate (750.000 per 100.000) is inflated as it didn't take into account the poor response rate.
2) The paper sometimes gives the impression that patients had to meet all three case definitions in order to receive a ME/CFS diagnosis, but table 4 shows that only 83.3% of diagnosed patients met at least one symptom of the post-exertional malaise. That suggests that meeting the Fukuda-criteria alone was enough, or that the diagnosis was ultimately based on the clinician's judgement because otherwise, we would expect this figure to be 100%.
3) Like other community-based prevalence studies, questionnaires were used to screen participants before proceeding to a clinical examination by a physician in stage 2. Children and adolescents with no exclusionary medical conditions, who screened positive for either significant fatigue or school/learning/memory problems, had substantial reductions in functioning, and three or more ME/CFS Fukuda et al. (1994), IOM (2015), or Carruthers et al. (2003) symptoms were considered screen-positive and selected for full evaluation in Stages 2. Although the screening seems to be quite thorough only 42/165 or 25% of those examined at subsequent stages were found to have a diagnosis of ME/CFS. Like other prevalence studies this highlights the importance of a clinical examination in making the diagnosis of ME/CFS.
4) Only 2 (5%) out of the 42 ME/CFS patients identified in this study already had a diagnosis of ME/CFS. So the vast majority is undiagnosed, which in all honesty is something I find difficult to comprehend.
1. Good point about people who know someone with fatigue being more likely to take part in the study. For accuracy, 43,000 people answered the phone and 20,000 were excluded as had no kids or were a business. Of the remaining eligible 23,000, 5600 took part (24%). So there is scope for selection bias as a result of people knowing that it was a fatigue study, but not as much scope as your starting figure of 148,000 suggests. And I am not sure how this compares with previous studies.
2. Interesting point about a 83% having PEM — I will ask about that.
3. I think this is probably the best adolescent prevalence study out there. It uses a community sample which, despite the bias, is likely much better than trying to go through physicians , through instance, where you depend on physicians spotting it. And it involves a medical evaluation, including a physical exam, which was carried out by Dr Ben Katz, one of the top Paediatric consultant specialising in ME/CFS in the US. It also included a psychological screen and fatigue questionnaire.
4. Although I am also surprised about the very low rate of previous diagnosis, I don't have any reason to doubt it. See above for how diagnosis was carried out. Also, previous studies (one by Jason, won by the CDC also found extremely high rates of non-diagnosis in prevalence studies). Don't forget this is the US where access to medical care is patchy at best. And they have a big problem with physicians being willing to take the illness seriously.
I plan to blog about it is next week, once I've had the chance to harvest the wisdom from this thread
