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Record W3023706702 · doi:10.1210/jendso/bvaa046.1590

SAT-158 New Data on High Prevalence and Time of Occurrence of New Onset Hypothyroidism Associated with Mitotane Therapy in a Cohort of Adrenocortical Cancer

2020· article· en· W3023706702 on OpenAlexaff
Jonathan Poirier, André Lacroix, Harold J. Olney, Isabelle Bourdeau

Bibliographic record

VenueJournal of the Endocrine Society · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMitotaneMedicineLevothyroxineInternal medicineThyroidAdrenocortical carcinomaThyroid function testsThyroid functionCohortEndocrinologyContext (archaeology)Retrospective cohort studyHormonePropylthiouracilThyroid cancerOncology

Abstract

fetched live from OpenAlex

Abstract Context. Mitotane is a steroidogenesis inhibitor and an adrenocorticolytic drug used to treat adrenocortical cancer (ACC). Central hypothyroidism is recognized in mitotane-treated patients and recent data suggested that mitotane could have an inhibitory effect on TSH-secreting cells in the pituitary gland. Moreover, mitotane may lead to induction of thyroid hormone metabolism. Clinical data on hypothyroidism related to mitotane such as prevalence and time of occurrence was described in a limited number of patients. Objective. To better characterize clinically secondary hypothyroidism in patients with ACC treated with mitotane therapy. Methods. We reviewed retrospectively paper charts and electronic records from patients with histologically confirmed diagnosis of ACC evaluated at our center from 1995-2019. We analysed the pattern of TSH and thyroid function, but also mitotane timing and levels at baseline and during treatment of patients under mitotane therapy. Thyroid hormone assessment including TSH, FT4 and FT3 was performed at least every 3 months during follow-up. Results. Our cohort of 104 patients with ACC includes 84 patients that received mitotane therapy. Among them, thyroid function data was incomplete for 39 cases. Complete data was retrieved from 45 patients. Ten out of 45 (22.2%) patients were already known for primary hypothyroidism and were receiving L-T4 replacement before the initiation of mitotane. Two of 45 (4.4%) patients maintained a normal thyroid function during complete follow up (4.5 years) and 33/45 (73.3%) had new onset hypothyroidism requiring levothyroxine treatment. Of these 33 patients, 22 were females and 11 were males, ranging from 22-74 yo with a median of 46 yo. The number of patients with ENSAT stage I, II, III and IV of disease were 1, 8, 11 and 13 respectively. Thyroid profiles were compatible with central hypothyroidism (low T4 with low or inappropriately normal TSH) in 22/33 patients (66.7%). Interestingly, 6/33 patients (18.2%) developed a TSH elevation with a normal lower-limit or low T4 level. The timeline distribution of the occurrence of hypothyroidism was 21.2% (n:7) at <3 months, 15.2% (n:5) between 3-6 months, 21.2% (n:7) between 6-9 months and 15.2% (n:5) between 9-12 months. 9.1% (n:3) occurred within the second year of treatment (between 12-24 months). However, in 5/33 (15.2%) cases, the exact time of new hypothyroidism onset was undetermined. Conclusion. Mitotane therapy is frequently associated with new onset hypothyroidism with a prevalence of 73% in our cohort of exposed patients and is most likely of central etiology. 72.7% of cases occur in the first year of treatment while 9.1% occur in the second year. This study supports the importance of monitoring thyroid function (including a free T4 level) during the complete course of mitotane therapy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.022
GPT teacher head0.273
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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