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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".