Lack of Concordance in Symptomatic Adverse Event Reporting by Children, Clinicians, and Caregivers: Implications for Cancer Clinical Trials
Bibliographic record
Abstract
PURPOSE To examine concordance in symptomatic adverse event (AE) grading using the Common Terminology Criteria for Adverse Events (CTCAE 4.0) for clinicians and its patient-reported outcome (PRO) versions for children (Ped-PRO-CTCAE) and caregivers (Ped-PRO-CTCAE [Caregiver]). METHODS Children age 7-18 years with a first cancer diagnosis, their clinicians, and caregivers completed CTCAE-based measures before starting a treatment course (T1) and after the treatment (T2). Grades (0-3) were assigned by each reporter for 15 core AEs spanning physical and mental health. Mean grades were compared between reporters using two-sample t-tests; agreement was estimated using weighted kappa (κ) statistics. Multivariable mixed regression models were used to evaluate associations of clinical factors with AE reporting concordance. Significance was set at α = .05 (two-sided). RESULTS There were 438 child-clinician-caregiver triads with complete data at either T1 or T2. For children, the mean age was 13 years (standard deviation = 3.4), 53.7% were male, 32.6% non-White, and 56.4% had leukemia/lymphoma. At T1, clinician mean AE grades were significantly lower (ie, better) than children for all AEs and remained significantly lower at T2 except for constipation, nausea, anorexia, neuropathy, and anxiety. Caregiver mean AE grades were similar to children at T1 and significantly higher (ie, worse) at T2 for nausea, vomiting, anorexia, pain, fatigue, anxiety, and depression. Agreement for child-clinician grading was poor-to-fair at T1 (κ range, 0.08-0.34) and T2 (0.11-0.35), and for child-caregiver, was fair-to-good at T1 (0.34-0.65) and T2 (0.24-0.60). No factors were consistently associated with reporter concordance across AEs. CONCLUSION Compared with children, symptomatic AEs were consistently under-reported by clinicians with low agreement and over-reported by caregivers with low-moderate agreement. Direct reporting by children using Ped-PRO-CTCAE or similar measures should be routinely incorporated for toxicity assessment in clinical trials.
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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 | 0.547 | 0.709 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".