HYPERTHYROIDISM
Bibliographic record
Abstract
Thyroid disorders are one of the common endocrine disorders. Their prevalenceis affected by many factors, especially environmental and nutritional ones. Objectives: Toascertain the seroprevalence of hyperthyroidism in clinically suspected hyperthyroid patients.Design: Descriptive cross-sectional study. Setting: Frontier Medical & Dental College,Abbottabad. Period: January to August, 2015. Methods: One hundred and twenty patientswere included in the study based on inclusion and exclusion criteria. Thyroid function tests(TSH, fT3 & fT4) were performed using enzyme linked immunoassay (ELISA) method. Results:There was preponderance of males in our study with male to female ratio of 1.4:1. Maximumpatients (56.67 %) were between the ages of 21-40 years of age, with mean age of studypopulation to be 32.09±13.01 years. The prevalence of hyperthyroidism was 15% based on theresults of thyroid function tests. There were 11 males and 7 females with male to female ratio of1.57:1 and mean age of hyperthyroid patients was 25.72± 8.27 years. The mean value of TSH,fT3 and fT4 was 0.038±0.025 mIU/L, 7.08±2.19 ng/mL and 25.25±6.30 μg/dL respectively inhyperthyroid patients as compared to 3.15±2.23 mIU/L, 2.05±0.88 ng/mL and 10.69±2.69μg/dL in euthyroid subjects. Conclusion: Thyroid disorders are not very rare among generalpopulation. TFTs provide a reliable way of ascertaining the thyroid function. As this is a hospitalbased study, field studies should be conducted to ascertain the true prevalence of thyroiddisorders in the community.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".