Electronic monitoring of symptoms and syndromes associated with cancer: methods of a randomized controlled trial SAKK 95/06 E-MOSAIC
Bibliographic record
Abstract
BACKGROUND: In patients with advanced, incurable cancer, anticancer treatment may be used to alleviate cancer-related symptoms, but monitoring of them in daily practice is rarely done. We aim to test the effectiveness of a real-time symptom and syndrome assessment using the E-MOSAIC software installed in handheld computer generating a longitudinal monitoring sheet (LoMoS) provided to the oncologists in a phase III setting. METHODS: In this prospective multicentre cluster randomized phase-III trial patients with any incurable solid tumor and having defined cancer related symptoms, who receive new outpatient chemotherapy in palliative intention (expected tumor-size response rate ≤20%) are eligible. Immediately before the weekly visit to oncologists, all patients complete with nurse assistance the E-MOSAIC Assessment: Edmonton Symptom Assessment Scale, ≤3 additional symptoms, estimated nutritional intake, body weight, Karnofsky and medications for pain and cachexia. Experienced oncologists will be randomized to receive the LoMoS or not. To minimize contamination, LoMoS are removed from the medical charts after visits. Primary endpoint is the difference in global quality of life (items 29 & 30 of EORTC-QlQ-C30) between baseline and last study visit at week 6, with a 10 point between-arm difference considered to be clinically relevant. 20 clusters (=oncologists) per treatment arm with 4-8 patients each are aimed for to achieve a significance level of 5% and a power of 80% in a mixed model approach. Selected co- variables are included in the model for adjustment. Secondary endpoints include patient-perceived patient-physician communication symptom burden over time, and oncologists' symptom management performance (predefined thresholds of symptoms compared to oncologists' pharmacological, diagnostic or counselling actions [structured chart review]). DISCUSSION: This trial will contribute to the research question, whether structured, longitudinal monitoring of patients' multidimensional symptoms, indicators for symptom management, and clinical benefit outcomes can influence patients' quality of life and symptom distress, in a setting of routine oncology practice. TRIAL REGISTRATION: Current Controlled Trials NCT00477919.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 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".