Self-Managed Surveillance for Breast Cancer–Related Upper Body Issues: A Feasibility and Reliability Study
Bibliographic record
Abstract
BACKGROUND: Early identification of breast cancer-related upper body issues is important to enable timely physical therapist treatment. OBJECTIVE: This study evaluated the feasibility and reliability of women performing self-managed prospective surveillance for upper body issues in the early postoperative phase as part of a hospital-based physical therapy program. DESIGN: This was a prospective, single-site, single-group feasibility and reliability study. METHODS: Presurgery arm circumference measurements were completed at home and at the hospital by participants and by a physical therapist. Instruction in self-measurement was provided using a video guide. After surgery, all circumference measurements were repeated along with self-assessment and therapist assessment for shoulder flexion and abduction active range of motion. Feasibility was determined by recruitment/retention rates and participant-reported ease of performing self-measurements (1 [very difficult] to 10 [very easy]). Reliability was determined as intrarater reliability, interrater reliability, and agreement. RESULTS: Thirty-three women who were 53.4 (SD = 11.4) years old participated, with recruitment and retention rates of 79% and 94%, respectively. Participant-reported ease of measurement was 8.2 (SD = 2.2) before surgery and 8.0 (SD = 1.9) after surgery. The intrarater reliability and interrater reliability were excellent before surgery (intraclass correlation coefficient [ICC] ≥ 0.94; 95% confidence interval = 0.87-0.97) and after surgery (ICC ≥ 0.91; 95% confidence interval = 0.76-0.96). Agreement between self-assessed and therapist-assessed active shoulder flexion (κ = 0.79) and abduction (κ = 0.71) was good. LIMITATIONS: Further testing is needed using a prospective design with a longer follow-up to determine whether self-managed prospective surveillance and timely treatment can hinder the development of chronic breast cancer-related upper body issues. CONCLUSIONS: Self-measured arm circumference and shoulder range of motion are reliable, and their inclusion in a hospital-based program of prospective surveillance for upper body issues seems feasible. This approach may improve early detection and treatment.
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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) | 0.000 | 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 | 0.000 |
| 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".