COVID-19 among patients with hepatitis B or hepatitis C: A systematic review
Bibliographic record
Abstract
ABSTRACT Background & aims Hepatic manifestations of coronavirus disease 2019 (COVID-19) are common among people infected with hepatitis B virus (HBV) and hepatitis C virus (HCV). This systematic review aimed to summarize the evidence on COVID-19 patients with HBV or HCV co-infections. Methods We searched multiple electronic databases and preprint servers from December 1, 2019 to August 9, 2020. Studies were included if they reported quantitative empirical data on COVID-19 patients with HBV or HCV co-infections. Descriptive analyses were reported and data were narratively synthesized. Quality assessments was completed using the Joanna Briggs Institute critical appraisal tools. Results Out of the 941 identified records, 28 studies were included. Of the eligible studies, 235 patients with COVID-19 were infected with HBV and 22 patients with HCV. Most patients were male and mean age was 49.8 and 62.8 in patients with HBV and HCV, respectively. Death proportion was 6% among COVID-19-HBV and 13% among COVID-19-HCV co-infected patients. Among COVID-19 patients, 34.1% and 76.2% reported at least one comorbidity besides HBV and HCV infections, mainly hypertension and diabetes mellites type 2. The most common COVID-19-related symptoms in both HBV and HCV groups were fever, cough and dyspnea. ICU admission was reported in 14.1% and 21.4% of individuals with HBV and HCV, respectively. Conclusions Our findings suggest a considerable risk of morbidity and mortality among COVID-19 patients with HBV and HCV. Careful assessment of hepatic manifestations upon admission of patients could help improve health outcomes among COVID-19 patients with HBV or HCV co-infections. Key Points Hepatic manifestations of COVID-19 are common among people infected with HBV and HCV. Among COVID-19 patients, 34.1% and 76.2% reported at least one comorbidity besides HBV and HCV infections. The most common COVID-19-related symptoms in both HBV and HCV groups were fever, cough and dyspnea. There is a considerable risk of mortality among COVID-19 patients with HBV and HCV.
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How this classification was reachedexpand
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 | 0.002 | 0.259 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".