Hepatitis B Virus Infection and Oral Lichen Planus: A Report from Northeast of Iran
Bibliographic record
Abstract
Introduction: Lichen planus is a chronic inflammatory disease in oral mucosa and skin. Recently, reports have demonstrated a possible relationship between lichen planus and liver diseases. During the past decade, there has been a hypothesis regarding viral etiological agents that have been found to be in association with hepatotrophic viruses known as Hepatitis B and C with LP. This research was studied in Mashhad, northeast of Iran, to find a relationship between OLP and HBV infection. Methods: Age and gender of 134 patients (with OLP) and 134 controls (without OLP) were not matched and their serum samples were respectively screened for HBsAg by ELISA (third generation) and polymerase chain reaction (PCR) for HBV-DNA. Results: Tests were positive (for both HBsAg and HBV-DNA) for 9 patients (6.71%) with OLP and 2 healthy individuals (1.49%) infected with HBV (P=0.03). Conclusion: There was a relationship between HBV and OLP in our population. Based on our findings, it is recommended that viral serology for Hepatitis B and OLP patients be conducted as a routine screening process.
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 | 0.001 | 0.001 |
| 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".