Mobilization and Exercise Intervention for Patients With Multiple Myeloma: Clinical Practice Guidelines Endorsed by the Canadian Physiotherapy Association
Bibliographic record
Abstract
OBJECTIVE: Individuals with multiple myeloma (MM) often have reduced functional performance due to the cancer itself or as a direct side effect of cancer treatments. Physical therapy is a part of cancer rehabilitation; however, no guidelines are available to provide information and direction for physical therapists managing patients with MM. The goal of this guideline is to provide recommendations based on a systematic review and consensus process that physical therapists can use to manage patients with MM. METHODS: A systematic review of the literature published until August 2018 was performed in 8 databases with 2 independent reviewers assessing quality. Seventeen articles were identified as relevant, and a draft guideline was developed in the form of action statements. A total of 10 physical therapists with hematology experience and 10 patients with MM were recruited for consensus process. A priori threshold of 80% agreement was used to establish a consensus for each statement. The draft guidelines were reviewed externally by 4 methodologists using the AGREE II tool and a stakeholder representing OH (Cancer Care Ontario) Program in Evidence Based Care, McMaster University. The final guideline was reviewed and officially endorsed by the Canadian Physiotherapy Association. RESULTS: A total of 30 action statements were developed that achieved consensus, indicating physical therapy recommendations based on physiological markers (ie, hemoglobin, platelet count), complete patient presentation, and the stage of medical treatment. CONCLUSION: These clinical practice guidelines were developed to aid physical therapists in implementing evidence-based and best-practice care for patients with MM to optimize rehabilitation outcomes. IMPACT: These guidelines fill an important knowledge gap and are the first to provide information specifically for physical therapist management of patients with MM.
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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 | 0.042 | 0.122 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.009 | 0.010 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.007 | 0.003 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".