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Major depressive episode with psychotic features induced by pegylated interferon-α-2b and ribavirin treatment

2005· article· en· W2027478291 on OpenAlexaff
Sanjeev Sockalingam, Ken Balderson

Bibliographic record

VenueInternational Clinical Psychopharmacology · 2005
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsRibavirinPegylated interferonAlpha interferonMedicinePsychosisDepression (economics)Hepatitis CChronic hepatitisInterferonPsychiatryImmunologyVirologyPharmacologyInternal medicineGastroenterologyVirus

Abstract

fetched live from OpenAlex

Recent evidence has demonstrated the efficacy of pegylated interferon-alpha (IFN-alpha) in treating hepatitis C virus infection. Neuropsychiatric complications commonly occur during the course of IFN treatment, with depressive symptoms usually appearing within the first 12 weeks. Few cases of the pegylated interferon-alpha-induced psychosis and depression have been reported compared to standard interferon-alpha therapy. We report the first case of a major depressive episode with psychotic features induced by pegylated IFN-alpha-2b and ribavirin in the last 2 weeks of 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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.056
GPT teacher head0.471
Teacher spread0.415 · 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.

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

Citations11
Published2005
Admission routes1
Has abstractyes

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