Suicide risk in hepatitis C and during interferon-alpha therapy: a review and clinical update
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Chronic hepatitis C (CHC) affects over 170 million individuals worldwide and is a growing public health concern. Despite the availability of CHC treatment, specifically interferon-α and ribavirin, treatment of CHC is limited by concerns about psychiatric side effects including risks of suicide. Although depression has been the focus of neuropsychiatric complications from interferon-alpha (IFNα), emerging evidence has contributed to our understanding of IFNα-induced suicidal ideation and attempts. Using Pubmed, we performed a literature review of all English articles published between 1989 and April 1, 2010 on suicide in untreated and IFNα-treated patients with CHC. References in all identified review articles were scanned and included in our review. A total of 17 articles were identified. Studies have suggested that the first 12 weeks of IFNα therapy are the high-risk period. Moreover, the emergence of suicidal ideation can be linked to neuropsychiatric abnormalities, specifically serotonin depletion. Pretreatment with antidepressant treatment should be reserved for high-risk groups, as this may reduce the risk of depression and thus decrease the suicide risk indirectly. Although there is a paucity of literature on suicide and suicide risk during IFNα therapy for CHC, recent studies on IFNα-induced depression have provided some potential insights into suicide in this patient population. Further research examining the effects of pharmacological and nonpharmacological interventions on suicide risk during IFNα treatment is needed.
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.
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| 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 it