Early Versus Late Pediatric Palliative Care in Oncology: A Systematic Review of Outcomes, Disparities, and Implementation Barriers
Bibliographic record
Abstract
This systematic review, conducted per PRISMA 2020 guidelines, synthesizes evidence on early pediatric palliative care (PPC) versus late or no PPC in children and young adults (0-21 years) with life-threatening oncologic illnesses. A comprehensive search of MEDLINE, Embase, Scopus, PsycINFO, Web of Science, Cochrane Central, and grey literature (ProQuest, ClinicalTrials.gov) from inception to 1 August 2025 identified 12 studies, including retrospective cohorts, surveys, and one randomized controlled trial across the USA, Canada, Taiwan, and Spain. Early PPC, variably defined as initiation from diagnosis to 12 months before death, consistently reduced end-of-life care intensity (fewer ICU admissions, mechanical ventilation, invasive interventions), increased hospice enrollment, home deaths, and improved quality of life and symptom management compared to late or no PPC. Disparities were evident, with minority groups and patients with hematologic malignancies less likely to receive early PPC, compounded by barriers such as provider misconceptions, systemic limitations, and clinical trial enrollment delays. Outpatient and integrated home-hospital PPC models significantly lowered hospital-based end-of-life care, though robust late PPC programs could achieve comparable outcomes. Narrative synthesis using the GRADE approach highlighted moderate to high confidence in reduced care intensity and improved family outcomes with early PPC, despite heterogeneous definitions and study designs precluding meta-analysis. Findings show the need for standardized PPC protocols, education to address provider barriers, and policy reforms to enhance equitable access, particularly for underserved populations. While oncology evidence is robust, further randomized trials are needed to strengthen findings across other conditions, supporting early PPC integration to optimize patient and family outcomes in pediatric oncology.
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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 | 0.024 | 0.090 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.012 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".