Hair Selenium Status in Children With Leukemia and Lymphoma
Bibliographic record
Abstract
Selenium (Se) is a trace element contributing to the structure of antioxidant system that saves cells from reactive oxygen species. Low serum Se levels have been reported in pediatric and adult patients with cancers. On the other hand, hair Se levels, predicting the long-term body Se status, have been reported in only adult patients with cancer. The aim of the study was to investigate the hair Se status in children with newly diagnosed lymphoid malignancies and the relation between malnutrition and Se deficiency. Thirty patients with leukemia (n=17) and lymphoma (n=13), and 25 healthy controls were enrolled to the study. Se was determined with atomic absorption spectrophotometrical method. Hair Se levels of the patients were significantly lower than those of control group [666.96+/-341.46 ng/g vs. 1019.22+/-371.83 ng/g (P<0.001)]. Children with lymphoma had lower Se than the children with acute lymphoblastic leukemia but not statistically significant [547.03+/-283.67 ng/g vs. 758.67+/-361.05 ng/g (P>0.05)]. Malnourished patients (11/30) had lower hair Se levels (483.51+/-235.55 ng/g) than those of the controls (P=0.036), whereas the Se levels of the patients who had no malnutrition (773.17+/-352.92 ng/g) were also lower than those of the controls but not statistically significant (P=0.053). There was no correlation between age, sex, and the hair Se levels. In this study, we found that hair Se levels of the children with leukemia and lymphoma, especially those of malnourished patients, were lower than those of controls. Additional studies are needed to determinate whether low levels of hair Se may play a role in carcinogenesis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".