Seroprevalence, Genotyping, and Monitoring of Hepatitis C Viral Loads in Patients on Antivirals in Burkina Faso
Bibliographic record
Abstract
INTRODUCTION: Hepatitis C virus (HCV) infection remains a major public health problem worldwide. In Burkina Faso, nearly 720,000 people are living with HCV, and each year about 900 people die from complications of cirrhosis or hepatocellular carcinoma. This study was planned to determine the HCV seroprevalence, characterize circulating genotypes, and monitor HCV viral loads in patients under treatment with antivirals. METHODS: A total of 4,124 individuals and 167 patients in the pre-therapy program were recruited. The "SD Bioline HCV" kit was used for rapid screening of anti-HCV antibodies. Viral load and genotyping were performed in 167 HCV patients on antivirals using the "Iontek HCV Quant" and "Iontek genotyping" kits. RESULTS: Prevalence of HCV was 1.65% (68/4,124), and the median viral load of participants was 5.37 log10/mL (1.32-7.67 log10/mL). Genotype 2 was predominant with a frequency of 86.23% (144/167) and appeared to be more active with higher viral load compared to 13.77% (23/167) for genotype 1 (p < 0.001). After 24 weeks of pan-genotypic direct-acting antivirals, such as sofosbuvir/daclatasvir and sofosbuvir/velpatasvir, the viral loads of all patients became undetectable. CONCLUSION: The responses to antivirals by the circulating genotypes indicate that the results are very satisfactory. Therefore, the prevalence of HCV in the population can be reduced through identification of cases and treatment.
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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) | 0.000 | 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".