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Record W2133901279 · doi:10.1186/1476-511x-6-14

Weight gain and psychiatric treatment: is there as role for green tea and conjugated linoleic acid?

2007· article· en· W2133901279 on OpenAlexaff
Martin A. Katzman, Leslie Jacobs, Madalyn Marcus, Monica Vermani, Alan Logan

Bibliographic record

VenueLipids in Health and Disease · 2007
Typearticle
Languageen
FieldMedicine
TopicTea Polyphenols and Effects
Canadian institutionsSTART Clinic
Fundersnot available
KeywordsWeight gainMedicineClinical nutritionPsychiatryAnxietyAdverse effectLipidologyQuetiapineLean body massSchizophrenia (object-oriented programming)Clinical chemistryBody weightInternal medicine

Abstract

fetched live from OpenAlex

Dietary supplement use is widespread in developed nations. In particular, patients who utilize mental health services also report frequent consumption of dietary supplements, often in relation to management of adverse events and specifically weight gain. Weight gain induced by psychotropic medications can further compound psychological distress and negatively influence compliance. Here we report on four cases of social anxiety disorder treated with the atypical antipsychotic quetiapine. Self-administration of conjugated linoleic acid and green tea extract may have influenced objective anthropomorphic measurements; each patient had an unexpected decrease in total body fat mass, a decrease in body fat percentage and an increase in lean body mass. Since weight gain is a common and undesirable side-effect with psychiatric medications, our observation strongly suggests the need for controlled clinical trials using these agents.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.188
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.306
Teacher spread0.293 · 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 teacher head, 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

Citations16
Published2007
Admission routes1
Has abstractyes

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