CHILDHOOD CENTRAL NERVOUS SYSTEM TUMOURS IN A MAJOR CENTER IN GHANA: PRESENTATION AND OUTCOMES
Bibliographic record
Abstract
Abstract AIMS To determine presentation, prediagnostic symptomatic interval (PSI), outcomes and quality of life at 12-week follow-up in children aged 1-17 years diagnosed with CNS tumours at Korle Bu Teaching Hospital (KBTH). METHODS This was a hospital-based cross-sectional, correlational study using the PedsQL questionnaire at the initial pre- sentation and 12 weeks after. The study population included all children (aged 1 to 17 years) with a new, ra- diologically diagnosed CNS tumour. and their caregivers attending the Paediatric Oncology and Neurosurgery Units of KBTH. RESULTS The study included 45 children with a median age of 7 years (range 2-17 years) and 56% were males. The most common tumour location was infratentorial (45%) and low-grade gliomas were the most frequent histology (n=23). Common symptoms were headache (n=33), motor abnormalities (n=29) and vomiting (n=24). Two children had Neurofibromatosis type 1. The median diagnostic interval was 121 days (range 44-305 days), with a patient interval of 60 days and a pri- mary healthcare interval of 21 days. Nineteen children (42%) received definitive surgical treatment, with only four children (9%) receiving gross total resection, with a median time to resection of 28.5 days (range 27.5-37 days). Twelve-week survival was 68.9%. There was a strong correlation between caregivers’ and children’s total QOL scores at presentation (r=0.88). At follow-up, children’s self-reports of emotional well-being were lower than caregivers’ assessments. CONCLUSION We have a high rate of mortality at 12 weeks and this needs to be addressed. Children with low-grade tumours experienced longer prediagnostic symptomatic intervals compared to those with high-grade tumours. There was a significant improvement in QOL at 12 weeks, but caregivers underestimated the emotional challenges their children faced. The study emphasizes the need for increased focus on the emotional well-being of children with CNS tumours and their survival.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".