Specialty Palliative Care and Symptom Severity and Control in Adolescents and Young Adults With Cancer
Bibliographic record
Abstract
Importance: Adolescents and young adults (AYAs) with cancer experience substantial symptom burden. Specialty palliative care (SPC) is recommended but often not involved or involved late. Objectives: To determine whether patient-reported symptom severity was associated with subsequent SPC involvement and whether SPC was associated with symptom improvement in AYAs with cancer. Design, Setting, and Participants: This cohort study comprised AYAs (aged 15-29 years) with primary cancer diagnosed between January 1, 2010, and June 30, 2018, in Ontario, Canada. Data, including self-reported Edmonton Symptom Assessment System (ESAS) scores, were obtained from health care databases. Specialty palliative care was identified through billing codes and validated algorithms. Final data analysis was performed on April 4, 2023. Main Outcomes and Measures: Associations of ESAS scores with subsequent SPC involvement were determined. A difference-in-differences approach was used for patients who died within 5 years of their cancer diagnosis. Case patients (SPC predeath, index date equals first SPC service) were matched 1:1 to control patients (no SPC at equivalent time before death). The study examined whether the difference between 90-day postindex and preindex mean ESAS scores was itself different between case and control patients. Results: This study included 5435 AYAs with cancer, with a median follow-up of 5.1 (IQR, 2.5-7.9) years for analyses of general palliative care. Their median age at cancer diagnosis was 25 (IQR, 22-27) years, and more than half were male (2809 [51.7%]). For all symptoms, moderate and severe ESAS scores were associated with an increased likelihood of SPC involvement compared with mild scores. The greatest magnitude of association was seen for pain scores (hazard ratio for severe vs mild, 7.7 [95% CI, 5.8-10.2]; P < .001). A total of 721 AYAs (13.3%) died within 5 years of diagnosis, and 612 of these patients (84.9%) had received SPC before death. Among 202 case-control pairs, SPC involvement was associated with improved pain trajectories (mean scores improved from 3.41 to 3.07 in case patients and worsened from 1.86 to 2.16 in control patients; P = .003). Other symptom trajectories were not affected. Conclusions and Relevance: In this cohort study of AYAs with cancer, those reporting moderate or severe symptoms through a screening program were more likely to subsequently receive SPC. These findings suggest that SPC was associated with a subsequent decrease in pain severity but did not affect other symptoms. New interventions targeting other symptoms during treatment and particularly at the end of life are needed.
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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".