Effects of Metformin on Thyroid Function in Patients of Subclinical Hypothyroidism
Bibliographic record
Abstract
Background : To study the effect of metformin on thyroid function test (TFT) in patients of subclinical hypothyroidism (SCH). Methods: A total of 30 patients of SCH with TSH between 5 - 10 mIU/L were given 2, 000 mg/day of metformin for12 weeks. Patients were divided into two groups based on presence or absence of thyroid peroxidase antibody (TPO). Baseline anthropometric characteristics, fT3, fT4, TSH, serum insulin, HOMA-IR and quality of life were assessed at baseline and at 12 weeks. Results: A total of 23 patients (76.7%) who were TPO antibody negative (group 1) showed statistically significant decrease in TSH concentration at 12 weeks with no significant change in fT3 and fT4 in contrast to 7 patients (23.3%) who were TPO antibody positive (group 2). Patients in group 1 were significantly more obese, had higher serum insulin and HOMA-IR as compared to group 2. Body weight, waist circumference, BMI and percentage body fat decreases significantly in both the groups at 12 weeks as compared to baseline but on intergroup comparison this decrease was not significant statistically (P = 0.46). The HOMA-IR of group 1 was significantly higher than that of group 2 at baseline (P ? 0.02). Serum insulin and HOMA-IR decreased significantly in both the groups but again on intergroup comparison, no significant difference was observed. A positive correlation between serum TSH and serum insulin level and HOMA-IR level (r = 0.608, P ? 0.01 and r = 0.592, P ? 0.01 respectively) was observed in group 1. Conclusion: Metformin suppresses serum TSH levels without affecting fT3 and fT4 levels in SCH without any evidence of autoimmune thyroiditis. doi: http://dx.doi.org/10.4021/j em188 w
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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".