Randomized Trial of Long-Term Follow-Up for Early-Stage Breast Cancer: A Comparison of Family Physician Versus Specialist Care
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: Most women with breast cancer are diagnosed at an early stage and more than 80% will be long-term survivors. Routine follow-up marks the transition from intensive treatment to survivorship. It is usual practice for routine follow-up to take place in specialist clinics. This study tested the hypothesis that follow-up by the patient's family physician is a safe and acceptable alternative to specialist follow-up. PATIENTS AND METHODS: A multicenter, randomized, controlled trial was conducted involving 968 patients with early-stage breast cancer who had completed adjuvant treatment, were disease free, and were between 9 and 15 months after diagnosis. Patients may have continued receiving adjuvant hormonal therapy. Patients were randomly allocated to follow-up in the cancer center according to usual practice (CC group) or follow-up from their own family physician (FP group). The primary outcome was the rate of recurrence-related serious clinical events (SCEs). The secondary outcome was health-related quality of life (HRQL). RESULTS: In the FP group, there were 54 recurrences (11.2%) and 29 deaths (6.0%). In the CC group, there were 64 recurrences (13.2%) and 30 deaths (6.2%). In the FP group, 17 patients (3.5%) compared with 18 patients (3.7%) in the CC group experienced an SCE (0.19% difference; 95% CI, -2.26% to 2.65%). No statistically significant differences (P < .05) were detected between groups on any of the HRQL questionnaires. CONCLUSION: Breast cancer patients can be offered follow-up by their family physician without concern that important recurrence-related SCEs will occur more frequently or that HRQL will be negatively affected.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.000 |
| 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 it