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Curated databases containing experimentally determined disordered regions, such as DisProt and IDEAL (Box 1), provide a gold standard for assessing disorder prediction methods.
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This raises the extremely important question, as to whether reporting results in this way should be the norm in trials assessing disorders with chronic variable courses such as depression, back pain or chronic fatigue.
The ICHD-III also does recommend the use of diagnostic criteria evolved by the International RDC/TMD Consortium Network and Orofacial Pain Special Interest Group to assess disorder involving structures in the temporomandibular region contributing to primary headache [8, 9].
With transcriptomic changes affected by treatment, this dataset will be useful in discovering biomarkers that assess disorder susceptibility.
For all assessed disorders, it provides quantitative data (Figures 3, 4, and 7).
For all assessed disorders, it provides quantitative data.
The average number of assessed disorders was 1.47 (SD = 0.81) among those presenting at least one disorder.
DSM-IV diagnoses and total current symptom counts for all of the assessed disorders were generated from the CAPA.
Interviews to assess disorders of infancy, childhood and adolescence including tics are abundant in child psychiatric settings.
Earlier CIDI versions also assess disorders with generally acceptable reliability and validity, with the exception of psychosis [ 35, 36].
A second team of researchers failed to replicate this finding, however [ 77], although this replication attempt used a different measure to assess disordered eating.
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