Personalized Symptom Goals and Patient Global Impression on Clinical Changes in Advanced Cancer Patients
Bibliographic record
Abstract
BACKGROUND: The aim of this study was to assess the patients' global impression (PGI) after symptom management, as well as the achievement of personalized symptom goals (PSG). The secondary outcome was to assess related factors. SUBJECTS, MATERIALS, AND METHODS: Advanced cancer patients admitted to palliative care units rated symptom intensity by using the Edmonton Symptom Assessment Score (ESAS) at admission and then after 1 week. For each symptom, patient-reported PGI and PSG, as well as the rate of PSG response, were evaluated. RESULTS: Eight hundred seventy-six patients were taken into consideration for this study. A mean of 1.71-2.16 points was necessary to perceive a bit better improvement of symptom intensity. Most patients had a PSG of ≤3. A statistically significant number of patients achieved their PSG after starting palliative care. Patients with high intensity of ESAS items at admission achieved a more favorable PGI response. In the multivariate analysis, symptom intensity and PSG were the most frequent factors independently associated to a best PGI, whereas high levels of Karnofsky had a lower odd ratio. CONCLUSION: PSG and PGI seem to be relevant for patients' assessment and decision-making process, translating in terms of therapeutic intervention. Some factors may be implicated in determining the individual target and clinical response. IMPLICATIONS FOR PRACTICE: Personalized symptom goals and global impression of change are relevant for patients' assessment and decision-making process, translating in terms of therapeutic intervention. Some factors may be implicated in determining the individual target and clinical response.
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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) | 0.000 | 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".