Relationship Between Obesity and Liver Enzymes Levels in Turner’s Syndrome
Bibliographic record
Abstract
BACKGROUND: Liver enzyme abnormalities have been reported in Turner's syndrome (TS). There are some studies about possible causes of abnormal levels of liver enzymes. One of the main suggestions is obesity. The study aimed to determine the relationship between obesity and liver enzymes levels in patients with TS. METHODS: Forty-one karyotype-proven TS patients referred to Endocrinology and Metabolism Research Center were included in this cross-sectional study. Height and weight of patients were measured and their body mass index (BMI) was calculated. The patients were divided into two groups as the control group including 27 cases (65.8%) with normal BMI (defined as < 85th percentile for age and gender), and the overweight group including 14 cases (34.2%) (defined as BMI > 85th percentile for age and gender). Serum levels of aspartate transaminase (AST), alanine transaminase (ALT) and alkaline phosphatase (AlkPh) were measured. RESULTS: There were no statistically significant differences regarding AST (27 ± 2.7 vs. 29.6 ± 5.85 U/L; P = 0.3), ALT (20.1 ± 2.45 vs. 22.2 ± 5.85 U/L; P = 0.5), and AlkPh (583.4 ± 2.45 vs. 472.8 ± 161.5 U/L; P = 0.28) between overweight TS patients and those with normal BMI. CONCLUSION: There was no significant difference in liver enzyme levels between TS patients with normal BMI and those who were overweight.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".