Variations in non-pharmacological anti-infective measures in childhood leukemia - results of an international survey
Bibliographic record
Abstract
BACKGROUND: Standardization in clinical practice may lead to improved outcomes. Unfortunately, little is known about the variability of non-pharmacological anti-infective measures in children with cancer. DESIGN AND METHODS: A web-based survey assessed institutional recommendations regarding restrictions of social contacts, pets and food and instructions on wearing face masks in public for children with standard- risk acute lymphoblastic leukemia and acute myeloid leukemia during intensive chemotherapy. RESULTS: A total of 336 institutions in 27 countries responded to the survey (range, 1-76 institutions per country; overall response rate 61%). Most institutions recommend that patients with acute myeloid leukemia avoid indoor public places and daycare, kindergarten and school, whereas recommendations for patients with acute lymphoblastic leukemia differ considerably by institution. In terms of restrictions related to pets, there was a wide variability between institutions for both acute lymphoblastic and acute myeloid leukemia patients. Most, but not all institutions do not allow children with either acute lymphoblastic or acute myeloid leukemia to eat raw meat, raw seafood or unpasteurized milk. Whereas most institutions do not routinely recommend that patients with acute lymphoblastic leukemia wear face masks in public, advice on this matter varies for patients with acute myeloid leukemia. CONCLUSIONS: The survey demonstrates that there is a wide variation in recommendations on non-pharmacological anti-infective measures between different institutions, countries and continents. This information may be used to encourage harmonization of supportive care practices and future clinical trials.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".