Insulin resistance as a predictor of early virologic response to HCV therapy among chronic HCV Egyptian Patients
Bibliographic record
Abstract
Prior assessment of insulin resistance by HOMA-IR is emerging as an important milestone in the treatment of patients with chronic hepatitis C. This cost-effective tool is recommended to individualize treatment duration, or to exclude those with low insulin sensitivity from being treated until ameliorating their state of insulin resistance (IR). The present work aims to elucidate further the effect IR state on early viral kinetic response to Chronic hepatitis C virus (HCV) therapy and the impact of HCV treatment and viral eradication on insulin sensitivity. Insulin sensitivity was assessed using the HOMA-IR method. All enrolled patients were treated with a dual therapy (pegylated interferon-alpha plus ribavirin) for 48 weeks and evaluated using qRT-PCR for early virologic response as well as the impact of treatment on insulin sensitivity throughout the early period of therapy. Of a total 392 chronic HCV cases, early virologic response was achieved by 318 (81.1%). IR was detected in 241 (61.5%) chronic HCV patient of which 73.4% responded to treatment. Early virologic response among patients with > 2.18 HOMA-IR value were significantly lower than those with HOMA-IR values ≤2.18 (P < 0.0001). IR was significantly associated with high baseline BMI. Steatosis and fibrosis correlated with IR but neither independently predicted early virologic response. Pretreatment IR < 2.18, low fasting blood glucose, low and intermediate HCV viral load, normal BMI, and non-smoking were independent factors associated with early virologic response. IR interferes with early virologic response to the antiviral care. Clinical application of pretreatment HOMA-IR assessment could help in predicting early treatment outcome and thus enable treatment regimens to be optimized and individually tailored.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".