Prevalence and Intensity of Pain and Other Physical and Psychological Symptoms in Adolescents and Young Adults Diagnosed with Cancer on Referral to a Palliative Care Service
Bibliographic record
Abstract
PURPOSE: While adolescent and young adult (AYA) oncology is recognized as a distinct specialty, there remains a paucity of literature documenting symptomatology in this cohort. This study aimed to identify the prevalence, severity, and mechanism of pain and other symptoms in AYA patients referred to a palliative care service in a specialist Australian cancer center. METHODS: A retrospective design analyzed the case file data of 33 eligible AYA patients aged 15-25 years old at diagnosis and two randomly selected control groups of patients >25 years old: unmatched and matched for diagnosis and sex. All cases were referred to the palliative care service between July 2009 and June 2012. Descriptive statistics, analysis of Edmonton Symptom Assessment Scale (ESAS) and Edmonton Classification System of Cancer Pain (ECS-CP) data, and non-parametric tests were performed. RESULTS: The most common malignancies among the AYA patients were sarcoma and hematological cancers. All AYA patients reported pain syndrome on the ECS-CP compared with 85% of the matched controls (p=0.018). An age group effect was found for mechanisms of pain (p=0.035). A trend toward more neuropathic pain among AYA cases was also found (59% vs. 39%). The most common ESAS symptoms in AYAs were pain (91%), diminished well-being (76%), fatigue (75%), and decreased appetite (67%). CONCLUSION: AYA cancer patients appear to experience a unique symptom profile with high symptom prevalence and complexity. Further research is warranted to identify determinants and inform integration of supportive and palliative care services for this unique patient cohort.
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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".