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Record W3174280944

Peripheral Edema in an Individual with Treatment Resistant Major Depressive Disorder Treated with Olanzapine/Fluoxetine Combination: PERIPHERAL EDEMA INDUCED BY OLANZAPINE/FLUOXETINE COMBINATION

2021· article· en· W3174280944 on OpenAlexaffvenue
Camellia Srikanthan, Elaina Niciforos, David McNeill

Bibliographic record

VenueUniversity of Toronto Medical Journal · 2021
Typearticle
Languageen
FieldMedicine
TopicElectroconvulsive Therapy Studies
Canadian institutionsOntario Shores Centre for Mental Health SciencesUniversity of Toronto
Fundersnot available
KeywordsOlanzapineFluoxetinePeripheral edemaMedicineEdemaPeripheralCombination therapyPharmacologyAntipsychoticAtypical antipsychoticInternal medicineAnesthesiaSchizophrenia (object-oriented programming)PsychiatryReceptorAdverse effectSerotonin
DOInot available

Abstract

fetched live from OpenAlex

Olanzapine/fluoxetine combination therapy is a widely prescribed antipsychotic-antidepressant regimen for treatment resistant depression and is reported to have a side effect of peripheral edema. The theoretical underpinnings of peripheral edema in association with olanzapine/fluoxetine combination therapy are still unclear. Although peripheral edema associated with olanzapine/fluoxetine combination is rarely reported, the mechanism of drug interaction and effect on cytochrome P450 enzymes may induce it. We review the case of a middle-aged patient, who presented with peripheral edema after the administration of olanzapine/fluoxetine combination 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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.246
Teacher spread0.235 · 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 designCase report
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

Citations0
Published2021
Admission routes2
Has abstractyes

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Same venueUniversity of Toronto Medical JournalSame topicElectroconvulsive Therapy StudiesFrench-language works237,207