Clinical practice guideline‐inconsistent chemotherapy‐induced vomiting prophylaxis in pediatric cancer patients in community settings: A Children's Oncology Group study
Bibliographic record
Abstract
BACKGROUND: This study aimed to determine the proportion of patients receiving clinical practice guideline (CPG)-inconsistent care related to chemotherapy-induced vomiting (CIV) prophylaxis, and to describe the association between CPG-inconsistent care and site size. The association between delivery of CPG-inconsistent care and patient outcomes (CIV control, admission prolongation, and unplanned healthcare visits) was also described. METHODS: This was a retrospective study conducted at Children's Oncology Group (COG) National Cancer Institute Community Oncology Research Program (NCORP) sites. Eligible patients received highly (HEC) or moderately emetogenic chemotherapy (MEC) as inpatients from January 2014 through December 2015, and were previously enrolled in a COG study. The COG generated a patient list from which patients were randomly selected for chart review by participating sites. A central panel adjudicated CIV prophylaxis received as CPG-consistent or -inconsistent. RESULTS: Twenty-four sites participated. Over half of patients received CPG-inconsistent CIV prophylaxis (HEC: 59/112, 52.6%; MEC: 119/215, 55.3%). The most common reasons for CPG-inconsistency were shortened duration of antiemetic administration or omission of dexamethasone. Site size was not found to be associated with CPG-inconsistent care delivery (HEC: adjusted odds ratio [OR]: 0.96, 95% confidence interval [CI]: 0.76-1.23; MEC: adjusted OR: 1.07; 95% CI: 0.92-1.24). Additionally, there was no statistically significant association between receipt of CPG-inconsistent care and patient outcomes. CONCLUSIONS: Patients receiving MEC or HEC often received CPG-inconsistent CIV prophylaxis. Site size was not associated with receipt of CPG-inconsistent care. Future studies should evaluate strategies to improve CIV control among pediatric oncology patients including those aimed at improving CPG adherence.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".