End Treatment Response and Sustained Viral Response in Patients With Hepatitis C Virus Receiving Sofosbuvir and Daclatasvir
Bibliographic record
Abstract
Objective The main purpose of this study was to determine the end treatment response (ETR) and sustained viral response (SVR) in hepatitis C virus (HCV) patients receiving sofosbuvir and daclatasvir daily for 12 weeks. Methods This is a prospective open-label interventional study conducted from March 2018 to December 2020 in the outpatient departments of Abbasi Shaheed Hospital and Lyari General Hospital, Karachi. Patients with chronic infection of HCV, confirmed with ribonucleic acid (RNA) polymerase chain reaction (PCR) (qualitative analysis) were invited to participate in the study. All patients with positive HCV antibodies were evaluated clinically, with laboratory, and imaging assessment earlier to treatment. Statistical analysis was performed using SPSS version 20.0 (Armonk, NY: IBM Corp.). Results A total of 1043 patients participated in the study with a female predominance, 699 (67%) females. A majority (67.9%) of the study participants were aged between 15 and 45 years. After treatment of 12 weeks with sofosbuvir and daclatasvir 1039 (99.9%) patients achieved SVR while 1038 (99.6%) achieved an end treatment response. There was no significant association found between changes in alanine aminotransferase (ALT) levels, gender, and age among study participants. Conclusion Sofosbuvir and daclatasvir are found to be extremely effective for patients with hepatitis C in Pakistan. However, additional investigation including a larger sample size and involving a multicenter setting is recommended.
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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 | 0.002 |
| 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) | 0.001 | 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 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".