A nurse-delivered intervention was effective for depression in patients with cancerCommentary
Bibliographic record
Abstract
M Sharpe Professor M Sharpe, University of Edinburgh, Edinburgh, UK; Michael.Sharpe@ed.ac.uk What is the effectiveness of a complex, nurse-delivered intervention for treating major depression in patients with cancer? ### Design: randomised controlled trial (RCT) (Symptom Management Research Trials [SMaRT]). ### Allocation: {concealed}.* ### Blinding: blinded {data collectors, outcome assessors, data analysts, and safety committee}.* ### Follow-up period: 12 months. ### Setting: a regional cancer centre in the UK. ### Patients: 200 outpatients (mean age 57 y, 71% women) who had cancer with prognosis ⩾6 months and major depressive disorder (Symptom Checklist [SCL]-20 score ⩾1.75) for ⩾1 month. Exclusion criteria included epilepsy, concurrent intensive anticancer treatment (eg, frequent chemotherapy or radiotherapy), and receipt of specialist psychiatric care. ### Intervention: a nurse-delivered intervention plus usual care (n = 101) or usual care alone (n = 99). The intervention consisted …
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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) | 0.001 | 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 | 0.001 |
| 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".