Effect of Early Palliative Care on Quality of Life in Patients with Non-Small-Cell Lung Cancer
Bibliographic record
Abstract
Background: Patients with metastatic non-small-cell lung cancer (NSCLC) experience great pain and stress. Our study aimed to explore the effect of early palliative care on quality of life in patients with NSCLC. Methods: A total of 150 patients were randomly divided into two groups: control group with conventional care and study group with early palliative care. The quality of life (QOL) rating scale and self-rating scale of life quality (SSLQ) were used to analyze the patients’ quality of life. The Hospital Anxiety and Depression Scale-D/A (HADS-D/A) and Patient Health Questionnaire 9 (PHQ-9) were used to analyze the patients’ mood. Pulmonary function indexes of peak expiratory flow (PEF), functional residual capacity (FRC), and trachea-esophageal fistula 25% (TEF 25%) were analyzed using the lung function detector. Results: The QOL and SSLQ scales scores of patients receiving early palliative care were significantly higher than those in the control group (p < 0.05). Moreover, the questionnaire results of the HADS-D/A and PHQ-9 were better in patients receiving palliative care than in the control group (p < 0.05 or p < 0.01). In addition, analytical results of pulmonary function showed that the levels of PEF, FRC, and TEF 25% in patients assigned to early palliative care were remarkably higher than those in the control group (p < 0.01 or p < 0.001). Conclusions: These data demonstrate that early palliative care improves life quality, mood, and pulmonary function of NSCLC patients, indicating that early palliative care could be used as a clinically meaningful and feasible care model for patients with metastatic NSCLC.
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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 | 0.000 |
| 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".