Comprehensive health status and health-related quality of life of children at diagnosis of high-risk neuroblastoma: a multicentric pilot study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Neuroblastomas account for 8-10 % of all cancer diagnoses among children. Most patients present with advanced, high-risk disease and 90 % are less than five years old. The burden of morbidity and mortality is high and is quantifiable by measures of health-related quality of life (HRQL). Measuring quality of life in under five-year-old children is a particular challenge that has been met with the development of the Health Utilities Pre-School (HuPS) instrument. Quality of life studies in children with cancer are scarce in low- and middle-income countries and are usually conducted at a single center, thus limiting any conclusions drawn. This pilot study aimed to assess the health-related quality of life of children at the time of diagnosis of high-risk neuroblastomas. METHOD: This prospective cross-sectional multicentric study assessed the quality of life of children with high-risk neuroblastoma. The Health Utilities Pre-School instrument was applied to under five-year-olds, and the related Health Utilities Index Mark 3 instrument to over five-year olds. MAIN RESULTS: Eleven patients participated in this study. There was a high burden of morbidity at diagnosis, often equating to severe disability, indicative of states of health with scores worse than being dead in two under five-year-old children. CONCLUSION: The results of the current study will help to set research priorities for subsequent investigations and provide a basis to improve supportive care for children with high-risk neuroblastoma.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it