Oral health status and its determinants in children with leukaemia at the Radiation and Isotope Center Khartoum, Khartoum State, Sudan
Bibliographic record
Abstract
The burden of oral health diseases in children with leukaemia and the impact of cancer treatment on their oral health have not been studied in Sudan. The present study assesses the oral health status of leukemic children through measuring caries experience, gingival status, oral hygiene status and mucositis. It also explores the association between the oral health status of children with leukaemia and their parental education, oral hygiene habits, treatment stage and type of leukaemia. A cross sectional hospital-based study was conducted at the Radiation and Isotope Center Khartoum, Khartoum State. A total of 87 children were included in this study. Data were collected by interviewer questionnaire and clinical examination. The oral health status revealed high prevalence of untreated dental caries (37.9%) and the majority (67.9%) of children had poor oral hygiene. Nearly, all children with leukaemia (93.1%) had never visited a dental health facility in their lives. Regarding the treatment stages of leukaemia, the severity of dental caries was found to be more significant in the maintenance phase, while oral mucositis was more significant in the induction phase.
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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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".