The toxicity gap: Do real-life patients get hospitalized more during chemotherapy compared to trial patients?
Bibliographic record
Abstract
6519 Background: Toxicity related hospitalizations during chemotherapy are poorly reported in the literature. We sought to compare “real world” versus clinical trial rates of hospitalizations among patients with metastatic non-small cell lung cancer (mNSCLC) receiving chemotherapy. We hypothesised that hospitalization rates in real life patients would be significantly higher. Methods: We conducted a systematic review of Medline and EMBASE (1946-June 2013) to identify articles reporting hospitalization rates during chemotherapy in patients with cancer. Both observational studies and clinical trials were eligible. This report focuses on patients with mNSCLC receiving palliative chemotherapy as data was available for this clinical scenario in both the observational and clinical trial setting, allowing comparison. Study results were abstracted using a standardised form. Summary statistics were used to describe results and the chi-square test used to compare hospitalization rates. Results: The search identified 64 articles (all published after 1987), of which 19 were clinical trials and 45 were observational (“real world”) studies. Nine studies examined chemotherapy in mNSCLC - four observational studies and five randomised trials. The four observational studies included 7,456 patients; three included patients on any chemotherapy while the other focused on doublet regimens. Of the five randomised trials which included 3,556 patients, three treated patients with platinum doublets and two used single agent chemotherapy. The real life cohort was older (69.2 years vs. 62 years). The aggregate hospitalization rate among real life patients was significantly higher than among trial patients (57.5% vs. 14.8%, OR=7.7, 95% CI 6.9-8.5, p-value < 0.0001). Performance status and type of chemotherapy were associated with hospitalization during chemotherapy in clinical trials. The observational studies did not report risk factors for hospitalization. Conclusions: Clinical trials in mNSCLC consistently report lower rates of hospitalization than real life cohorts of patients undergoing similar therapies but very few clinical trials report this information.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".