Influence of hepatitis C virus on neurocognitive function in patients free from other risk factors: validation from therapeutic outcomes
Bibliographic record
Abstract
BACKGROUND AND AIMS: Mild neurocognitive dysfunction and altered cerebral proton magnetic resonance spectroscopy ((1) H-MRS) have been demonstrated in patients with chronic hepatitis C (CHC). This longitudinal study aimed to quantify these abnormalities in a cohort of patients free from correlated risk factors and determine whether treatment-induced viral clearance abolished these abnormalities. METHODS: Treatment-naïve, non-cirrhotic patients with CHC, rigorously screened and excluded for other causes of impaired neurocognition, underwent neurocognitive testing, (1) H-MRS and evaluation for quality of life (QOL), mood and fatigue, before and 6 months after the completion of antiviral therapy. A comparison group of healthy controls was similarly assessed at baseline and 1 year later. RESULTS: Post-treatment results in 40 patients with CHC [31 sustained virological responders, hepatitis C virus (HCV)-R and 9 non-responders, HCV-NR] were compared with their pretreatment results, and with the baseline and follow-up assessments of 39 healthy controls. Before receiving treatment, patients had impaired learning efficiency, poorer QOL and higher fatigue scores compared with the controls. Viral clearance was associated with a significant albeit small improvement in the QOL score that did not reach control levels. Cerebral (1) H-MRS demonstrated a lower N-acetyl aspartate/creatine (CRE) ratio in the globus pallidus (GP) of patients with hepatitis C, which was unchanged with viral clearance. The GP choline/CRE ratio increased in HCV-R following treatment, without a correlation with cognitive measures. CONCLUSIONS: The hepatitis C virus has a measurable effect on CNS integrity in patients screened for other medical and/or psychiatric comorbidities. Viral clearance has not been demonstrated to abolish these abnormalities.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".