Neonatal Hyperbilirubinemia in a Turkish Cohort: Association of Vitamin B<sub>12</sub>
Bibliographic record
Abstract
BACKGROUND: Deficiency of vitamin B12 (VitB12) causes failure of erytrocyte maturation leading to cell lysis. Red blood cell lysis causes excess heme production that ends with hyperbilirubinemia. In this study, we aimed to evaluate the role of VitB12 in neonatal hyperbilirubinemia (NNH) with prolonged jaundice and to compare patients with control group who did not develop hyperbilirubinemia. METHODS: A total of 20 patients (M/F = 13/7) with jaundice and 20 healthy controls (M/F = 11/9) were included in the study. RESULTS: The mean indirect bilirubin level of patient group was 9.91 ± 1.90 mg/dL (6.71 - 15.2 mg/dL) and control group was 3.18 ± 1.24 mg/dL (1.16 - 4.96 mg/dL). The mean VitB12 level of patient group was 119.9 ± 43.9 ng/L (42.35 - 178 ng/L) and the control group was 286.17 ± 97.43 ng/L (207.90 - 624.10 ng/L). There was a statistically significant difference in terms of VitB12 level (< 0.001) between the study groups. CONCLUSION: To our knowledge, this study is the first study showing that low VitB12 level has been observed as a risk factor in NNH for the first time in the literature. We suggest that prophylactic use of VitB12 by pregnant women so will greatly benefit to prevent VitB12 deficiency and its complications in the first years of life such as NNH.
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.
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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".