Successful Hepatitis C Antiviral Therapy Induces Remission of Type 2 Diabetes: A Case Report
Bibliographic record
Abstract
BACKGROUND: Type 2 diabetes is a well described extra-hepatic manifestation of hepatitis C infection (HCV). Eradication of HCV has led to improvements in insulin resistance but to date has not been shown to induce remission of diabetes. CASE REPORT: We report a case of a 49-year-old man with HCV and a 2-year history of T2DM on oral agents. He was initially treated with peg-interferon/ribavirin (peg-IFN/rib) but did not achieve a HCV treatment response. Four years later he was retreated with peg-IFN/rib plus an HCV protease inhibitor (boceprevir). His HbA1c at the start of treatment was 7.9%. Antiviral response to HCV-therapy correlated with a significant improvement in glucose control without a change in diabetes therapy or improvement in adherence. He achieved a sustained virological response and within a year of completing antiviral therapy he no longer required medical therapy for diabetes. Two years after the completion of HCV treatment, the patient has maintained an HbA1c of 5.8% without any diabetes medications. CONCLUSIONS: This case provides evidence of the important relationship between HCV and diabetes and highlights the potential reversibility of glucose abnormalities with successful eradication of HCV. Increased awareness of this association may improve detection of undiagnosed HCV infection, identify patients with reversible causes of diabetes, guide therapeutic decisions for HCV treatment, and improve outcomes in patients with both diseases.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.008 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".