Occult Hepatitis C Infection Among Hemodialysis Patients: A Prevalence Study
Bibliographic record
Abstract
INTRODUCTION AND AIM: Occult hepatitis C infection (OHCI) is the presence of HCV-RNA in the liver or peripheral blood mononuclear cells (PBMC) accompanying with negative serologic results. The aim of this study was to evaluate the prevalence of OHCI among Iranian chronic hemodialysis (HD) patients. MATERIAL AND METHODS: In this cross sectional study 200 chronic HD patients with negative HCV antibody enrolled the study. Blood sample of patients were obtained, followed by Polymerase Chain reaction (PCR) testing for detection of HCV RNA. Patients with positive serum HCV RNA were considered as manifest hepatitis C infection (MHCI). However, patients with negative serum HCV RNA underwent further tests on PBMCs for detection of OHCI. RESULTS: Serum HCV RNA was positive in 2 (1%) patients whom considered as MHCI, and 6 (3.03%) patients had positive PBMC HCV RNA. CONCLUSION: In conclusion, chronic HD patients have been considered as a high risk group for hepatitis C infection. The results of this study suggest that these patients are also at risk for OHCI. Furthermore, evaluating PBMCs to detect HCV RNA would be a sensitive diagnostic method to find OHCI patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".