Reducing pain and distress related to needle procedures in children with cancer: A clinical practice guideline
Bibliographic record
Abstract
BACKGROUND: Children with cancer often undergo long treatment trajectories involving repeated needle procedures that potentially cause pain and distress. As part of a comprehensive effort to develop clinical practice guidelines (CPGs) to address pain prevention and management in children with cancer, we aimed to provide recommendations on the pharmacological and psychological management of procedure-related pain and distress. METHODS: Of the international inter-disciplinary CPG development panel (44 individuals), two working groups including 13 healthcare professionals focused on procedural pain and distress. Grading of Recommendations Assessment, Development and Evaluation methodology was used, including the use of systematic literature reviews to inform recommendations and the use of evidence to decision frameworks. At an in-person meeting in February 2018, the guideline panel discussed these frameworks and formulated recommendations which were then discussed with a patient-parent panel consisting of 4 survivors and 5 parents. RESULTS: The systematic reviews led to the inclusion of 48 randomised controlled trials (total number of participants = 2271). Quality of evidence supporting the recommendations ranged from very low to moderate. Strong recommendations were made for the use of topical anesthetics in all needle procedures, for offering deep sedation (DS)/general anesthesia (GA) to all children undergoing lumbar puncture, for the use of DS/ GA in major procedures in children of all ages, for the use of hypnosis in all needle procedures and for the use of active distraction in all needle procedures. CONCLUSION: In this CPG, an evidence-based approach to manage procedure-related pain and distress in children with cancer is presented. As children with cancer often undergo repeated needle procedures during treatment, prevention and alleviation of procedure-related pain and distress is of the utmost importance to increase quality of life in these children and their families.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".