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Record W2110677903 · doi:10.1177/070674370204700208

Antidepressant Side Effects in Depression Patients Treated in a Naturalistic Setting: A Study of Bupropion, Moclobemide, Paroxetine, Sertraline, and Venlafaxine

2002· article· en· W2110677903 on OpenAlexaffvenueabout
JD Vanderkooy, Sid ney H Ken nedy, R Mi chael Bagby

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2002
Typearticle
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsUniversity of TorontoQueen's University
Fundersnot available
KeywordsSertralineParoxetineVenlafaxineHamilton Rating Scale for DepressionBupropionAntidepressantMoclobemideSide effect (computer science)PsychologyDepression (economics)Sexual dysfunctionPsychiatryMedicineVenlafaxine HydrochlorideMajor depressive disorderInternal medicineAnesthesiaAnxietyMood

Abstract

fetched live from OpenAlex

OBJECTIVE: There is no commonly accepted standard for comparing antidepressant-induced side effects. This study evaluates a clinician-administered scale, the Toronto Side Effect Scale (TSES), in a natural practice clinic. METHOD: We used the TSES to assess side effects in 193 depression patients who completed 8 weeks of treatment with either bupropion, moclobemide, paroxetine, sertraline, or venlafaxine. RESULTS: Rates of remission (Hamilton Rating Scale for Depression [HRSD] < 7) did not differ across drugs after 8 weeks of treatment. Paired drug comparisons yielded significant differences in 16 of the 32 side effects. We present differences between pairs of the 5 antidepressants in Central Nervous System (CNS), gastrointestinal (GI), and sexual side effects. A measure of side-effect intensity distinguished paroxetine from the other antidepressants on a measure of sexual dysfunction. CONCLUSIONS: These results confirm the clinical utility of the TSES as a simple, clinician-administered antidepressant side-effect scale.

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 score0.146
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.009
GPT teacher head0.240
Teacher spread0.231 · 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

Citations143
Published2002
Admission routes3
Has abstractyes

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