This dataset contains anonymous expert voting responses from an international consensus study employing a modified nominal group technique to establish objective assessment criteria for ME/CFS and overlapping post-infectious conditions. The file comprises 19 rows (one per consortium expert) and 48 variables, including 24 binary response columns ("BINARY – Do You agree with the content of: [Domain]" coded as Yes/No/No opinion/blank), and 24 continuous endorsement rating columns ("1-10 – Do You agree with the content of: [Domain]" coded as numeric values 1–10). Assessment domains span seven core symptom categories: subjective fatigue, functional impairment, post-exertional malaise (PEM), sleep disturbances, cognitive dysfunction, pain, orthostatic intolerance/autonomic dysfunction, nausea/GI symptoms, cardiovascular problems, flu/cold-like symptoms, hypersensitivities, and susceptibility to infection, plus framework components (pediatric considerations, best practices, case reports, methodological considerations, emerging biomarkers, practical limitations, and diagnostic framework). Non-definitive responses ("No opinion," "Don't know," or blank) were excluded from item-level denominators per consensus methodology conventions. Participation rates ranged from 89.5% to 100.0%, agreement rates from 94.7% to 100.0%, and continuous endorsement ratings were uniformly high (mean range: 9.06–9.53; median = 10.0 across all domains). Inter-rater reliability was excellent (ICC[2,1] = 0.826, 95% CI: 0.715–0.920; Kendall's W = 0.857, p < 0.001). Full methodological details, validation statements, and risk-stratified clinical algorithms are provided in the associated manuscript and online-only supplement.
In addition, code used for data analysis has been attached.
