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Pilot study of interferon‐α and ribavirin treatment in patients with chronic hepatitis C and normal transaminase values

2001· article· en· W2149727205 on OpenAlexafffund
Samuel S. Lee, Morris Sherman

Bibliographic record

VenueJournal of Viral Hepatitis · 2001
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsUniversity of TorontoUniversity of Calgary
FundersFondation pour la Recherche MédicaleUniversity of Calgary
KeywordsRibavirinMedicineInternal medicineGastroenterologyTransaminaseConcomitantAlanine transaminaseInterferonChronic hepatitisElevated transaminasesHepatitis CAlpha interferonImmunologyVirusBiologyEnzyme

Abstract

fetched live from OpenAlex

Combination interferon-alpha (IFN-alpha) and ribavirin treatment has become standard therapy for patients with chronic hepatitis C and elevated transaminase levels (> 1.5 x upper limit of normal). No previous study has specifically examined the efficacy of this treatment in patients with normal transaminase values. In this pilot study, we treated 19 patients, with normal or near-normal ALT values on at least three occasions, and histologically mild disease, with induction IFN-alpha2b, 5 mega units daily for 4 weeks, then 3 mega units thrice weekly for 44 week, plus concomitant ribavirin 1000 mg or 1200 mg daily for 48 weeks. Nine of the 19 (47%) showed sustained virological response, defined as undetectable HCV-RNA at 24 weeks after the end of treatment. No ALT flares were observed in any patient. We conclude that combination induction IFN-alpha and ribavirin therapy may be effective in patients with normal-ALT, and appears not to induce flares of ALT activity. Controlled trials of this treatment in this subgroup of patients with hepatitis C are warranted.

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)0.003
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.296
Teacher spread0.274 · 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 designNon-randomized trial
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

Citations45
Published2001
Admission routes2
Has abstractyes

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