Specialised care for severely affected ME/CFS patients
Bibliographic record
Abstract
Introduction A specialised care unit for severely and very severely ill ME/CFS patients opened in 2021. The results from the first 3 years are reported.Methods People with ME/CFS who were diagnosed according to the Canadian Consensus Criteria, who are aged 18 or above with severe or very severe ME/CFS according to the UK NICE guidelines, are eligible to stay at Røysumtunet. The study design is a retrospective review of medical records.Results Between June 2021 and June 2024, 24 ME/CFS patients, 20 women and 4 men with a confirmed diagnosis of ME, were admitted to the unit for stays of at least 3 months. Seventeen were very severely affected and 7 were severely affected. Ages ranged from 18 to 68 years, with mean (SD) 37.5 (12.8) years. Seven patients showed significant improvement (p < 0.01), and five others showed some improvement. In total 50% improved (p < 0.01). Patients who improved were borderline significantly younger than those who did not, with a mean age of 30.3 (SD 12.6) years compared to 39.8 (SD 11.8) years (p = 0.06). The mean duration of disease was 2.3 (1.3) years for those who improved versus 6.7 (3.9) years for those who did not improve (p < 0.05).Conclusion This is the first report of a specialised care unit for the most severely ill ME/CFS patients. Fifty per cent of patients showed significant or partial improvement. The mechanisms behind these improvements are discussed but require further exploration in future studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".