Basal Thyrotropin and Major Depression: Relation to Clinical Variables and Treatment Outcome
Bibliographic record
Abstract
OBJECTIVE: There is a current argument in thyroidology about whether the normal range for basal thyrotropin (TSH) is too broad. Some groups suggest that a TSH of less than 2.5 mIU/L is a better cut-off for euthyroidism. Because major depression is associated with changes in thyroid hormone status and thyroid hormones may be an effective treatment for major depression, we examined whether TSH levels above or below 2.5 mIU/L were related to clinical variables or treatment outcome in euthyroid patients with major depression. METHODS: Outpatients with major depression (n =166) were assigned to high-normal and low-normal TSH groups based on their basal TSH levels. The 2 groups were compared along clinical variables and treatment outcome. RESULTS: The low-normal TSH group was significantly more depressed, as measured by Hamilton Depression Rating Scale scores, and had more anxiety symptoms and suicidal tendencies than the high-normal group. There was no difference in treatment response between the groups. CONCLUSIONS: A comparison of low-normal and high-normal basal TSH groups with major depression revealed significant differences in severity and symptoms of depression but no difference in treatment outcome. These data are preliminary and require replication in a larger sample.
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| 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".