Symptom burden in patients with cancer who are experiencing unplanned hospitalization
Bibliographic record
Abstract
BACKGROUND: Inpatient supportive care programs often target patients with advanced solid tumors. To the authors' knowledge, few studies to date have characterized symptom burden in hospitalized patients with potentially curable cancers. The objective of the current study was to compare symptom burden, palliative care consultation, and readmission rates in hospitalized patients by cancer type and treatment intent. METHODS: The authors conducted a single-center study of hospitalized patients with cancer between 2014 and 2017. They assessed physical symptoms using the Edmonton Symptom Assessment System and psychological distress using the Patient Health Questionnaire-4 and the Primary Care PTSD (Posttraumatic Stress Disorder) Screen. Multivariate linear regression models were used to assess symptom burden, logistic regression was used to assess palliative care use, and competing risk regression was used to compare 90-day readmission risk. RESULTS: A total of 1549 patients were enrolled and surveyed. The majority of patients reported moderate to severe fatigue, poor well-being, and drowsiness with no significant differences noted by cancer type and treatment intent. Compared with other groups, patients with incurable solid cancer reported higher physical symptoms (beta coefficient [B], 4.73; P < .01) and symptoms of depression (B, 0.44; P < .01) and anxiety (B, 0.39; P < .01), but no difference in posttraumatic stress disorder. Among patients in the top quartile symptom burden according to the Edmonton Symptom Assessment System, the palliative care service was consulted in 14.7%, 7.9%, 25.0%, and 49.6%, respectively, of patients with potentially curable hematologic, potentially curable solid, incurable hematologic, and incurable solid cancers (P < .001). Compared with patients with potentially curable solid cancer, patients in each group experienced a higher risk of readmission within 90 days. CONCLUSIONS: Hospitalized patients with cancer experience substantial physical and psychological symptoms. Palliative care rarely is consulted for highly symptomatic patients with potentially curable cancers. Supportive care interventions should target the needs of symptomatic patients regardless of treatment intent.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".