Effect of early integration of specialized palliative care into standard oncologic treatment on the quality of life of patients with advanced head and neck cancers: A phase III randomized controlled trial.
Bibliographic record
Abstract
12013 Background: Early palliative care is an important aspect of palliative treatment but has never been evaluated in head and neck cancer. Hence we performed this study. Methods: This was an open-label phase 3 randomised study which enrolled adult patients with squamous cell carcinoma of the head and neck region which warranted palliative systemic therapy. They were 1:1 allocated to either systemic therapy with (EPC arm) or without the addition of early palliative care service (STD arm). Patients were administered the Edmonton Symptom Assessment Scale (ESAS-r) and FACIT HN questionnaire at baseline and 4 weekly thereafter for 12 weeks. The primary endpoint was change in the quality of life (QOL) measured using FACIT HN 12 weeks after randomization. The secondary endpoints were changed in symptom burden at 12 weeks in ESAS-r and overall survival. A repeated-measures analysis of covariance (ANCOVA) was performed to examine the effects of arm and stratum on change in QOL (or symptom score), after controlling for baseline score. Results: Ninety patients were randomised in each arm between 1st June 2016 to 14th August 2017. The compliance with the questionnaires was 100% at baseline. In EPC arm the 70 patients were alive at 3 months and 67 (95.7%) completed the FACIT HN and 64 (91.4%) completed ESAS-r questionnaires. While in the STD arm out of 69 alive the corresponding figures were 61(88.4%) and 59 (85.5%) respectively. There was no statistical difference in change in QOL scores and ΔESAS-r at 12 weeks between the 2 arms (Table). The median overall survival was similar between the 2 arms. (Hazard ratio for death-1.006 (95%CI 0.7347-1.346)). Conclusion: In this phase 3 study, integration of early palliative care in head and neck cancer patients did not result in improvement in the quality of life scores, symptom scores or overall survival. Clinical trial information: CTRI/2016/03/006693 . [Table: see text]
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".