Central Hypothyroidism is Frequent During Mitotane Therapy in Adrenocortical Cancer Patients: Prevalence and Timeline
Bibliographic record
Abstract
CONTEXT: Central hypothyroidism was described previously in mitotane-treated patients but data on its prevalence and time of occurrence are limited. OBJECTIVE: To better characterize thyroid hormone insufficiency in patients exposed to mitotane. METHODS: We reviewed medical records of patients from 2 academic centers in Montreal (Canada) and Toulouse (France) with exposure to mitotane therapy for adrenocortical cancer between 1995 and 2020. We analyzed the thyroid function parameters during and after treatment. RESULTS: In our cohort of 83 patients, 17 were excluded because of preexisting primary hypothyroidism or drug-induced hypothyroidism. During follow-up, 3/66 patients maintained a normal thyroid function and 63/66 developed central hypothyroidism. Among those 63 patients, 56 presented with an inappropriately normal or low TSH and 7 with a mildly elevated TSH. The onset of hypothyroidism was: <3 months in 33.3%, 3 to 6 months in 19.1%, 6 to 9 months in 14.3%, and 9 to 12 months in 9.5%. At least 14.3% of cases occurred after 12 months of exposure, and 6 patients had an undetermined time of occurrence. Over time, 27 patients stopped mitotane and partial (42.3%) or complete (23.1%) recovery from hypothyroidism was observed, mainly in the first 2 years after mitotane discontinuation. CONCLUSION: Mitotane therapy is frequently associated with new onset of central hypothyroidism with a prevalence of 95.5%. Most cases occurred in the first year of treatment. Partial or full recovery of thyroid function occurs in 65.4% of cases. This study supports the importance of systematic monitoring of TSH and free T4 levels during and following discontinuation of mitotane therapy.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".