Thyroid Disturbance in Patients with Chronic Hepatitis C Infection: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Background & Aims: The involvement of thyroid autoimmunity and dysfunction in patients with chronichepatitis C virus (HCV) infection before interferon-α (IFN-α) therapy remains controversial. We performedthis meta-analysis to evaluate the association of HCV infection with the presence of anti-thyroid antibodiesand dysthyroidism. Methods: A literature search was carried out to collect articles dated up to August 2015 to identify observationalstudies which compared the prevalence of anti-thyroid antibodies and thyroid dysfunction in IFN-α naïvechronic HCV-infected subjects with non-HCV infected controls. Random-effect or fixed-effect meta-analyseswere applied and results reported as odds ratios (ORs) with 95% confidence intervals (CIs). Results: Twelve studies were included, involving 1,735 HCV-infected and 1,868 non-HCV infected subjects.Pooled anti-thyroid antibody prevalence tended to be higher in HCV-infected subjects. The prevalence ofanti-thyroglobulin antibody (TGAb), anti-thyroid peroxidase antibody (TPOAb), anti-thyroid microsomalantibody (ATMA) were 2.40-fold, 1.96-fold and 1.86-fold higher in HCV-infected subjects than in controls,respectively. The prevalence of hypothyroidism also differed by HCV infection status, with a pooled risk of3.10 (95%CI: 2.19-4.40) in HCV-infected subjects. However, the results did not show a significant differencein the prevalence of hyperthyroidism between the two groups.Conclusion: Chronic HCV infection may be an independent risk factor for thyroid disturbance. It is advisablefor the clinicians to monitor both thyroid antibodies and function in the course of chronic HCV infection,independent of IFN-α treatment. Abbreviations: AITD: autoimmune thyroid disease; ATMA: anti-thyroid microsomal antibody; CHC:chronic hepatitis; GD: Graves’ disease; HCV: hepatitis C virus; HT: Hashimoto’s thyroiditis; IFN-α: interferonalpha;NOS: Newcastle-Ottawa quality assessment scale; T3: triiodothyronine; T4: thyroxine; TGAb: antithyroglobulinantibody; TPOAb: anti-thyroid peroxidase antibody.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.024 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".