A Supervised Group Exercise Program for Patients with Multiple Myeloma.
Bibliographic record
Abstract
Abstract Background: Cancer-related fatigue, anemia, bone pain, treatment toxicities, depression, and advanced age contribute to debilitation in myeloma. Myeloma pts are reluctant to exercise due to lack of disease-specific exercise guidelines and fear of injury. At our centre, a disease-modified, supervised exercise pilot program has been evaluated with 20 subjects. Methods: Subjects attending myeloma clinic were accrued over 6 wks in response to posted notices. Eligibility: no recent bone fracture/radiation, max. MET (metabolic equivalent) ≥6 (21mL O2 consumption/kg/min, VO2) sufficient to undergo regular exercise (DASI screen). The 12 wk program included weekly supervised group sessions (90 min) and individualized home-based exercises (twice weekly). Exercises were based on American College of Sports Medicine guidelines modified to cancer pts (Lucia et al 2003) and outlined in a manual. Exercises: 1) low-intensity aerobic (treadmills, track walking, recumbent cycle ergometers to 45–75% max. HR); 2) resistance training (therabands, balls, hand wts, or body wt); 3) flexibility training (stretch exercises). Subjects were assessed at baseline and 12 wks for: 1) body composition (wt, BMI, bioelectrical impedence); 2) fitness (HR, peak VO2, max. grip strength, endurance, flexibility measures); 3) quality of life (FACT-F questionnaire); 4) pain (Brief pain inventory); 5) mental health (Hospital Anxiety Depression Scale). Results: 20 subjects took part in the pilot program: 6M:14F; median age 60 yrs(42–74); median disease duration 29 mos(15mos–14yrs); median prior therapies 3(0–8); prior ASCT 16/20 - median time from ASCT 20 mos(3mos–12 yrs), 15/20 with bone disease/pain, 10/20 on active myeloma therapy. Comorbidities: 10/20 had lung, arthritis, or heart disease; 2/20 active smokers. Median Hb 116g/L (range 81–147) - 5/20 subjects had Hb≤100g/L. 18/20 subjects completed the 12 wk program (2 dropouts: 1 hospitalization, 1 unexpected travel). Attendance was variable - 24%(54/216) of total visits missed, most due to minor illness or disease/medication complications. Monthly program evaluations showed enthusiasm for the group format with individualized instruction helping to allay fears of injury. Despite weekly travel, subjects preferred the group setting vs home exercises alone, citing motivation from peers/instructors as vital. Conclusions: A formal exercise program for myeloma is feasible with potential benefits in fitness and mental health. Detailed exercise diagrams/video, expanded strength training, and increased individualized time to ensure proper technique were suggestions for incorporation into our current program. A planned RCT comparing our tailored exercise program to standard care will help develop a prescription for maintaining longterm quality of life for myeloma survivors. Mean baseline (SD) Mean Wk 12 (SD) Difference P-value (paired t-test) *Difference post-6 min walk to resting HR* 45 (18) 44 (19) −1.5 (21) 0.797 SBP* 21.4 (10.7) 18.5 (16.2) −2.9 (13.0) 0.427 6min walk 548 (102) 588 (114) 40 (48) 0.008 Peak VO2 12.6 (1.7) 13.3 (1.9) 0.7 (0.8) 0.007 Wt (kg) 72.6 (11.4) 71.8 (11.6) −0.8 (2.8) 0.320 BMI (Wt/Ht2) 27.5 (4.1) 27.2 (4.4) −0.3 (1.0) 0.328 Body fat (%) 34.7 (6.8) 34.8 (6.7) 0.0 (1.3) 0.328 Strength test 11.5 (3.2) 14.9 (5.6) 3.4 (3.4) 0.005 Flexibility test 20.4 (5.6) 22.9 (8.9) 2.5 (7.6) 0.288 FACT-F 113.7 (22.5) 117.6 (24.1) 3.9 (11.7) 0.214 HAD scale 6.5 (2.4) 5.2 (2.5) −1.2 (1.6) 0.012
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".