Symptom burden in hospitalized patients with curable and incurable cancers.
Bibliographic record
Abstract
190 Background: Inpatient supportive care interventions are targeted to patients with advanced solid tumors due to perceived higher symptom burden. Yet, few studies have characterized symptom prevalence in hospitalized patients with curable cancers. We aimed to describe and compare symptom burden and palliative care utilization in hospitalized patients with curable and incurable cancers to determine the allocation of such supportive care resources. Methods: We conducted a single center study of 1549 patients (238 curable hematologic, 239 curable solid, 123 incurable hematologic, 949 incurable solid cancers) who experienced an unplanned hospitalization between 9/14 - 4/17. On admission, we assessed patients’ physical symptoms (Edmonton Symptom Assessment System) and psychological distress (Patient Health Questionnaire - 4 and Primary Care PTSD Screen). Results: The median number of moderate to severe symptoms reported by patients with curable hematologic, curable solid, incurable hematologic, and incurable solid cancers were 5 [3-6], 5 [3-7], 5 [4-6], and 6 [4-7], respectively. Most patients reported moderate to severe fatigue (83.6%, 82.9%, 81.3%, 86.9%). Table 1 depicts rates of psychological distress. In adjusted analyses patients with incurable solid cancers reported higher symptom burden (β = 7.6, p < 0.01), depression (β = 0.4, p = 0.01), and anxiety (β = 0.3, p = 0.03) symptoms, but no difference in PTSD symptoms. Among patients in top quartile of symptom burden, palliative care was consulted in 16.2%, 7.9%, 23.8%, and 49.6% (p < 0.01) of patients with curable hematologic, curable solid, incurable hematologic, and incurable solid cancers, respectively. Conclusions: Hospitalized patients with solid and hematologic cancers experience substantial physical and psychological symptoms regardless of the curability of their illness. Palliative care is rarely consulted for highly symptomatic patients with curable cancers. Inpatient supportive care interventions should target the needs of all highly symptomatic patients with cancer. [Table: see text]
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".