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Record W46641112 · doi:10.1155/2008/213897

Does a Rapid Decline in the Hematological and Biochemical Parameters Induced by Interferon and Ribavirin Combination Therapy for the Hepatitis C Virus Predict a Sustained Viral Response?

2008· article· en· W46641112 on OpenAlexaffvenue
Christian Turbide, Constantine A. Soulellis, Marc Deschênes, Nir Hilzenrat

Bibliographic record

VenueCanadian Journal of Gastroenterology · 2008
Typearticle
Languageen
FieldMedicine
TopicHepatitis C virus research
Canadian institutionsMcGill UniversityJewish General HospitalMcGill University Health Centre
Fundersnot available
KeywordsRibavirinMedicineInternal medicineGastroenterologyCombination therapyHepatitis C virusInterferonAlanine aminotransferaseViral loadAlanine transaminaseWhite blood cellHemoglobinImmunologyVirus

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVES: To analyze whether rapid myelosuppression and a decrease in alanine aminotransferase (ALT) induced by standard interferon (IFN) and ribavirin (RBV) combination therapy predict a sustained viral response (SVR) in hepatitis C virus patients. PATIENTS AND METHODS: Data from 111 patients (mean age 48.1 years) with chronic hepatitis C virus were retrospectively analyzed. All patients were treated with the same initial doses of IFN and RBV combination therapy. The following laboratory values were measured at baseline, and then at weeks 2, 4, 8, 12 and 24 of treatment: hemoglobin, white blood cells (WBCs), neutrophils, platelets and ALT. A delta value was then calculated for each interval from baseline (baseline values minus two weeks, etc). The delta value of each variable was then compared between the responders and nonresponders using Wilcoxon's signed rank test. RESULTS: Sixty patients (54%) achieved an SVR. There were no significant differences between the responder and nonresponder groups for baseline variables. The delta value of ALT was the only significant marker in the prediction of an SVR. The mean +/- SD delta values for the ALT at week 2 of treatment were 71+/-92 U/L and 44+/-85 U/L for the responders and nonresponders, respectively (P<0.0046). At week 4, the values were 101+/-96 U/L and 84+/-100 U/L for the responders and nonresponders, respectively (P<0.0154). The decline was then calculated for the ALT as a percentage decrease from baseline: at weeks 2 and 4, the decreases were 64% and 66%, respectively, for the responders, and 43% and 41%, respectively, for the nonresponders. At week 2, the delta values for WBC count were found to be significant in predicting failure to achieve an SVR, with mean +/- SD delta values of 0.85 x 10(9)/L+/-1.48 x 10(9)/L and 1.53 x 10(9)/L+/-2.16 x 10(9)/L for the responders and nonresponders, respectively (P<0.0173). The same trend emerged at two weeks for neutrophils: 0.72 x 10(9)/L+/-1.33 x 10(9)/L for the responders and 1.02 x 10(9)/L+/-1.20 x 10(9)/L for the nonresponders (P<0.0150). The delta values were insignificant for hemoglobin, lowest hemoglobin values and platelets. CONCLUSIONS: The decline rates of ALT from baseline to week 2 and 4 of IFN and RBV combination therapy are good predictors of an SVR. A significant drop in WBC and neutrophil values is a predictor of failure to achieve an SVR. The hemoglobin, platelets and lowest hemoglobin values failed to predict an SVR.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
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)0.0010.000

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 head0.028
GPT teacher head0.286
Teacher spread0.258 · 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 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
Published2008
Admission routes2
Has abstractyes

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