Contemporary Characteristics and Outcomes of Pediatric Oncology Patients Participating in Early Phase Clinical Trials
Bibliographic record
Abstract
BACKGROUND: Phase 1 or phase 1/2 trials are a first step in pediatric cancer drug development. Currently, there is a paucity of information regarding contemporary outcomes for pediatric patients enrolled in these trials. We describe characteristics and outcomes of patients enrolled in pediatric phase 1 clinical trials over a 9-year period at a single institution. METHODS: We queried our clinical trials management system to generate a list of patients enrolled and treated on pediatric phase 1 or phase 1/2 trials from 2011 to 2019. We collected baseline demographics, clinical data, efficacy, and safety endpoints post-enrollment including: time to death, objective response to therapy, duration on therapy, need for dose modification, and occurrence of dose-limiting toxicity. Overall survival was calculated using Kaplan-Meier methods. RESULTS: A total of 224 unique patients accounted for 259 enrollments and 242 treatment episodes. The median age at enrollment was 11 years (range 0-27 years) and 56.2% were male. The majority were White (85.7%) and Non-Hispanic (88.2%). English was the primary language for 86.3% of patients, and 54.9% had private insurance. Solid tumors were the most common malignancy (41.0%), followed by brain tumors (34.1%), and hematologic malignancies (24.9%). Among treatment episodes, 49.3% received targeted monotherapy. After first enrollment, 27.6% of patients had an objective response to therapy (52.9% for hematologic malignancies, 20.5% for brain tumors, and 15.8% for solid tumors). The median duration of therapy was 1.5 months. Median overall survival from first enrollment for 218 patients treated with available vital status was 13.1 months. Toxicity outcomes included 27 patients (11.2%) requiring dose modification and 22 patients (9.0%) having a DLT. CONCLUSIONS: Overall survival is poor for patients in pediatric oncology early phase trials, despite approximately a quarter having an initial response. These data are informative for discussions between providers and families regarding outcomes after phase 1 trial participation.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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".