Thinking ahead: Parents’ worries about late effects of childhood cancer treatment
Bibliographic record
Abstract
BACKGROUND: Many childhood cancersurvivors experience at least one late effect of treatment, and both late effects and persistent cancer-related worry can negatively impact quality of life in survivorship. Little is known about the prevalence or impact of parental worry about late effects early in treatment. This study evaluated parental perceived likelihood, impact, and worry about late effects of childhood cancer. PROCEDURE: We surveyed 96 parents of pediatric cancer patients at Dana-Farber/Boston Children's Cancer and Blood Disorders Center within a year of diagnosis. Parents were asked about their experiences with late effects communication, general worry about late effects, and specific late effect worries. RESULTS: Most (96%) parents valued information about late effects, and 93% considered late effects in their treatment decision-making. Yet, 24% could not recall receiving any information about late effects, and only 51% felt well prepared for potential late effects. Though only 20% of parents considered their child at high risk of experiencing late effects, 61% were extremely/very worried about late effects. Those who felt their child was at high risk of experiencing late effects were more likely to worry (OR = 4.7, P = 0.02). CONCLUSIONS: Many parents feel inadequately informed about late effects of cancer treatment, and only one-fifth of parents consider late effects to be likely for their child. However, a majority of parents worry about late effects, including ones they think their child is unlikely to experience. Although some worry is anticipated, disproportionate worry may be mitigated by addressing both educational shortfalls and emotional concerns.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".