Arthritis patients show long-term benefits from 3 weeks intensive exercise training directly following hospital discharge
Bibliographic record
Abstract
OBJECTIVE: To examine the efficacy of short-term intensive exercise training (IET) directly following hospital discharge. METHODS: In the Disabled Arthritis Patients Post-hospitalization Intensive Exercise Rehabilitation (DAPPER) study, patients with rheumatoid arthritis or osteoarthritis were eligible when they needed hospitalization for either a flare-up in disease, elective hip or knee arthroplasty. The intervention group received IET for 3 weeks immediately after discharge; the control group was treated with the usual care (UC). The intensive exercise was provided in a resort. Outcomes were assessed at baseline, after 3, 13, 26 and 52 weeks. Range of motion was measured using the Escola Paulista de Medicina-Range of Motion scale (EPM-ROM), disability was measured using the HAQ and the McMaster Toronto Arthritis Patient Preference Disability Questionnaire (MACTAR), and for health-related quality of life (HRQoL), the Research and Development 36-Item Health Survey (RAND-36) was used. RESULTS: The IET showed a better and faster improvement than UC on all outcome measures except for HRQoL. Up to 52 weeks after baseline, the EPM-ROM and the MACTAR remained favourable in IET compared with UC. At 3 weeks, the MACTAR improved significantly more in the IET compared with the UC: mean difference -5.5 (95% CI -8.4 to -2.2). At 26 weeks, the mean difference remained significant (-5.2; 95% CI -10.0 to -0.34). At 52 weeks, the effect was not significant; however, the mean difference in improvement between the groups can be considered clinically relevant. At 3 weeks, the IET had improved significantly more on the HAQ walking and rising subscales. CONCLUSION: Intensive short-term exercise training of arthritis patients, immediately after hospital discharge results in improved regain of function. The DAPPER programme has a direct effect, which lasts up to 52 weeks.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".