Evidence-based guidelines for physiotherapy management of patients with multiple myeloma: study protocol
Bibliographic record
Abstract
BACKGROUND: Patients with multiple myeloma (MM) are often treated with chemotherapy, radiation, and, if indicated, autologous stem cell transplant. In addition to side effects of the treatment, patients with MM often have bone pain, pathological fractures, spinal cord compressions, fatigue, and muscle weakness, which negatively impact functional performance and quality of life. Currently, there are no related guidelines for safe and effective physiotherapy (PT) management. Accordingly, the aim of the present study is to develop guidelines for effective physiotherapy management of patients with MM by systematically reviewing and evaluating the available evidence followed by a consensus process to specifically describe the research questions as detailed below. METHODS/DESIGN: Physiotherapy management guidelines for patients with multiple myeloma will be developed based on the results of a systematic search of the following databases: US National Library of Medicine Database (PubMed), Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica Database (EMBASE), Cumulative Index to Nursing and Allied Health Literature (CINAHL), Elton B. Stephens Co. (EBSCO), Web of Science, Database of Abstracts of Reviews of Effects (DARE), Cochrane Database of Systematic Review, and Physiotherapy Evidence Database (PEDro). All articles will be screened for inclusion and exclusion criteria. Relevant potential articles will be identified and systematically reviewed for final phase of inclusion. Two independent reviewers will systematically review and analyze the quality of identified articles using standardized assessment tools. Scientific conclusions will be drawn and recommendations will be made based on a critical appraisal process. The guideline development will also be based on the team's judgment about the overall quality of the studies and a consensus process. DISCUSSION: Draft guidelines will be developed in the form of action statements based on the strength of evidence and grades of recommendations. The draft guidelines will be reviewed internally by two independent reviewers using AGREE II and externally by a methodological expert from Evidence-Based Care - Cancer Care Ontario and will be sent to the Canadian Physiotherapy Association (CPA) for feedback from physiotherapists. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017064056.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.041 | 0.040 |
| Meta-epidemiology (narrow) | 0.003 | 0.004 |
| Meta-epidemiology (broad) | 0.009 | 0.008 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.051 | 0.009 |
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".