Fear of cancer recurrence in childhood cancer survivors: A developmental perspective from infancy to young adulthood
Bibliographic record
Abstract
AIMS: Fear of cancer recurrence (FCR) is among the most prevalent and distressing concerns reported by cancer survivors. While younger age is the most consistent predictor of elevated FCR, research to date has focused almost exclusively on adult cancer survivors. This is despite the fact that children with cancer are more likely to survive compared to adults, and will become regular, lifelong users of the medical system to mitigate the effects of toxic treatment. The early experience of cancer yields unique challenges and circumstances that may impact children's capacity for and experience of FCR across the developmental trajectory. The aim of this paper is to present a developmental perspective of FCR from infancy to young adulthood. METHODS: Drawing on the developmental science literature and recent theoretical advancements in FCR, we outline cognitive and social factors that may influence children's capacity for and experience of FCR across the developmental trajectory. RESULTS: First, distinct developmental groups that fall under the classification of "childhood cancer survivor," and that all require attention, are summarized. Using the structure of these groupings, we centrally provide a developmental perspective of FCR that offers a useful starting point for research in pediatric populations. Key research gaps, including the need for validated assessment tools to measure FCR in child and adolescent survivors, are highlighted. CONCLUSIONS: Consideration of the unique context of childhood is needed to guide the identification of childhood cancer survivors at risk for FCR as well as the development of effective FCR interventions for this population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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 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".