Thyroid Autoantibody Levels during Lithium Therapy
Bibliographic record
Abstract
The study of the levels of thyroid antibodies was conducted in 58 patients treated with lithium and in 40 subjects who received other psychotropic drugs and who were used as controls. The measure of the antithyroglobulin antibodies were made by passive hemagglutination and that of the antimicrosomal antibodies by indirect immunofluorescence. For the whole control group, the research of the antithyroglobulin antibodies was positive in 3 cases, i.e. 7.5%. For the 58 patients treated with lithium, this research was positive in 11 subjects, i.e. 19%: thus, lithium seems to cause immunological reactions in the thyroid. 5 lithium-treated patients developed a goiter. The antibody determination was positive in only 2 subjects and was negative in the others. The measure of antithyroid antibodies before lithium did not enable us to predict the emergence of thyroid complications. On the contrary, subjects treated with lithium presented signficantly high antibody levels without developing clinical thyroid manifestations.
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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 | 0.000 |
| 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 | 0.000 |
| 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 | 0.001 |
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".