Demographic and Clinical Factors Associated With the Appropriate Target Thyroid-Stimulating Hormone Values in Patients With Primary Hypothyroidism Treated With Levothyroxine
Bibliographic record
Abstract
Background: Hypothyroidism control is inadequate in up to 30-40% of patients. This study aimed to determine the control rate of primary hypothyroidism and the demographic and clinical factors associated with the hypothyroidism control. Methods: An observational and retrospective study was conducted between January 2014 and October 2015. Data were obtained from 174 medical records. Regarding hypothyroidism control analysis, patients were subdivided into two groups: the appropriate control group and the inappropriate control group. Autoimmune and post-surgical hypothyroidism secondary to benign nodular thyroid disease (BNTD) was classified as of benign etiology, and differentiated thyroid carcinoma (DTC) as of malignant origin. Results: The majority of patients consisted of women (93.68%), with a mean age of 55.53 ± 14.13 years old. The most common etiology was of autoimmune origin (41.95%). Adequate control of hypothyroidism was found in 55.17% of patients. Patients who had longer disease duration (P = 0.002), who kept using the same brand of levothyroxine (P = 0.001) and who were non-smokers (P = 0.004) had better control, and hypothyroidism from benign etiology also tended to be associated with better control (P = 0.08). Conclusions: Primary hypothyroidism still has a high percentage of poor control seen worldwide, despite its relatively simple treatment. In this study, almost 50% of the patients had inadequate control of hypothyroidism. The factors associated with good control, both of benign and malignant origin, were related to the use of the same brand of levothyroxine and to not smoking, and the benign etiology group tended to correlate with better treatment control. J Endocrinol Metab. 2016;6(4):109-115 doi: http://dx.doi.org/10.14740/jem367w
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".