The Relationship Between Parental Catastrophizing About Child Pain and Distress in Response to Medical Procedures in the Context of Childhood Cancer Treatment: A Longitudinal Analysis
Bibliographic record
Abstract
OBJECTIVE: Children with leukemia frequently undergo invasive medical procedures, such as lumbar punctures (LPs) and bone marrow aspirations (BMAs). To date, cross-sectional evidence indicates that LP/BMA procedures continue to elicit distress over the course of treatment in children and parents. METHOD: The current study used prospective analyses investigating in 28 children diagnosed with leukemia, the course of parental and child distress when confronted with consecutive LP/BMA procedures and potential moderation by catastrophic thinking. Parents' level of catastrophic thoughts was assessed before the first treatment-related LP/BMA, while child and parent distress was reported on after each LP/BMA procedure. RESULTS: Whereas parental distress decreased over time among low catastrophizing parents, LP/BMA procedures remained highly distressing for high catastrophizing parents. Child distress during LP/BMA procedures increased over time and was positively related with parental distress. CONCLUSION: These findings stress the importance of targeting child and parent distress as early as possible in treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".