Mode of Transmission, Rather than the Hepatitis C Virus, as a Major Determinant of Poor Interpersonal Relationships in Patients with Chronic Hepatitis C
Bibliographic record
Abstract
BACKGROUND: Recent studies have demonstrated that patients with the hepatitis C virus (HCV) have significant neurocognitive impairment. OBJECTIVE: To assess whether chronic HCV infection impacts on patient marital status, living arrangement and employment. METHODS: The charts of patients with chronic hepatitis C and hepatitis B were reviewed. RESULTS: The mean (+/- SD) age of the 129 patients with the hepatitis B virus (HBV) was 46+/-15 years and that of the 428 patients with HCV was 48+/-15 years. Sixty-seven per cent of HBV patients were men, compared with 68% of HCV patients. Eighty per cent of HCV patients were Caucasian, compared with 44% of patients with HBV. The main modes of transmission were intravenous drug use (37%) and transfusion of blood products (37%) for HCV, compared with country of origin (76%) for HBV. There were no differences in marital status rates between HBV- and HCV-infected patients (HBV - married (73%), single (21%) and divorced (6%); and HCV - married (66%), single (23%) and divorced (10%); P=0.20). HCV patients lived alone more often than HBV patients (HBV - 13%, HCV - 22%; P=0.03). There was no difference in overall employment rate between HCV and HBV patients (81% versus 87%; P=0.15). Though there may not have been overall differences between HCV and HBV marital status and employment status, there were differences in the HCV subgroups. These subgroup differences were discovered in the multivariate analysis; mode of transmission was identified as the only predictor of the patients' marital status and employment status. CONCLUSIONS: The most important determinant of interpersonal relationships was the mode of transmission of the viral hepatitis rather than the type of viral infection: past intravenous drug users had lower level relationships.
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 | 0.004 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".