The Relationship between Distressing Symptoms and Performance Status among Cancer Patients Receiving Palliative Care
Bibliographic record
Abstract
Background: Patients with advanced cancer experience distressing symptoms and progressive decline in theirperformance status (PS) as death approaches.Aim: To identify the relationship between symptom burden and PS of Egyptian cancer patients receiving palliative care.Methods: This was a prospective observational study that included 100 patients with advanced cancer. Symptom burdenwas assessed using the Arabic version of the revised Edmonton Symptom Assessment System (ESAS-r). Performancestatus was assessed using the Palliative Performance Scale (PPS).Results: The mean total ESAS-r score was 60.1 (±10.7). The most common symptom to be reported as severe was pain(93%) followed by tiredness (74%), poor wellbeing (67%), lack of appetite (62%), anxiety (60%) and drowsiness (56%).The majority of patients (76%) had a PPS score ≤30 with an overall mean PPS score of 36.2 (±13.3). There was astatistically significant negative correlation between the total ESAS score and the PPS score (r = - 0.687, p = < 0.001).Conclusion: The results suggest that Egyptian patients with advanced cancer experience high symptom burden andsignificant decline in PS. The higher the symptom burden, the poorer the PS of patients with advanced cancer.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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 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".