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Record W3985434 · doi:10.1139/jpn.0443

Testing the association between thyroid dysfunction and psychiatric diagnostic group in an iodine-deficient area

2004· article· en· W3985434 on OpenAlexvenueno aff
Derik Hermann, Walter Hewer, Florian Lederbogen

Bibliographic record

VenueJournal of Psychiatry and Neuroscience · 2004
Typearticle
Languageen
FieldMedicine
TopicThyroid Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsThyroid dysfunctionAssociation (psychology)MedicineIodineThyroidPsychiatryInternal medicinePsychologyChemistryPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVE: To test the association between thyroid dysfunction and psychiatric diagnostic group in a large sample of consecutive patients, while controlling for the effects of age, sex, medication and concomitant medical conditions. METHODS: We compared the distribution of psychiatric diagnostic groups according to the International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10), and of selected psychopathological symptoms in 100 newly admitted psychiatric patients who had genuine thyroid disease and 92 psychiatric patients who had nonspecific alterations of thyroid function with the corresponding items for the whole group of admitted patients (n = 1134) during the observation period. This analysis was then repeated using an age-matched and sex-matched comparison group selected from all admitted patients in a random order. RESULTS: When all admitted patients were considered, the presence of a genuine thyroid disorder was associated with the diagnosis of a mood disorder (ICD-10 category F3). This effect was no longer detectable when the age-matched and sex-matched comparison group was used, indicating a simple effect of these 2 variables. Nonspecific alterations of thyroid-stimulating hormone (TSH) were associated with the ICD-10 diagnostic group F4 (neurotic, stress-related and somatoform disorders), with demographic variables being similar in this subgroup to those of all admitted patients. These patients also tended to display more symptoms of a mild depressive syndrome. When only patients with nonspecifically decreased TSH concentrations were tested, these findings could not be reproduced. Nonspecifically decreased concentrations of thyroxine and free thyroxine index were found significantly more often in the diagnosis group F1 (mental disorder due to substance use), reflecting results for alcohol-dependent patients. This result could not be replicated using an age-matched and sex-matched control group. CONCLUSION: In newly admitted psychiatric patients with genuine thyroid disease, there was no notable association of thyroid disease and major psychiatric diagnostic groups according to ICD-10, especially depression. This argues against the hypothesis of thyroid disorders being a major risk factor for psychiatric illnesses. Nonspecific alterations of TSH were more frequently seen in patients of diagnostic group F4 and with mild depressive syndromes, possibly representing an altered influence of stress-regulating systems on thyroid function.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.264
Teacher spread0.242 · 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".

Quick stats

Citations15
Published2004
Admission routes1
Has abstractyes

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