The Role of Palliative Chemotherapy in Hospitalized Patients
Bibliographic record
Abstract
BACKGROUND: Hospitalized patients with advanced cancer often have a poor performance status, which is considered a relative contraindication to cytotoxic chemotherapy. We investigated outcomes in hospitalized solid tumour oncology patients who received palliative chemotherapy (pct). METHODS: With ethics approval, we performed a single-institution chart review of all patients hospitalized on our oncology unit who received pct between April 2008 and January 2010. Patient demographics, reasons for admission, cancer type, prior therapy, and administered chemotherapy were recorded. The primary endpoint was median survival from date of inpatient chemotherapy until death or last known follow up. We also investigated place of discharge and whether patients received additional therapy. RESULTS: During the study period, 199 inpatients received pct. Median age was 61 years; 59% of the patients were women. Most had been admitted with dyspnea (31%) or pain (29%) as the dominant symptom. Common cancers represented were breast (23%), small-cell lung cancer (sclc, 22%), non-small-cell lung cancer (nsclc, 16%), and colorectal cancer (9%). Most patients (67%) were receiving first-line chemotherapy. Median overall survival duration was 4.5 months, and the 6-month survival rate was 41%. The longest and shortest survivals were seen in the sclc and nsclc groups (7.3 and 2.5 months respectively). Factors significantly associated with shorter survival were baseline hypoalbuminemia and therapy beyond the first line. In this cohort, 77% of patients were discharged home, and 72% received further chemotherapy. CONCLUSIONS: Despite a short median survival, many patients are well enough to be discharged home and to receive further chemotherapy. The development of risk models to predict a higher chance of efficacy will have practical clinical utility.
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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 | 0.009 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".