Association between hepatitis B virus infection and risk of osteoporosis: a systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: The potential association between hepatitis B virus (HBV) infection and development of osteoporosis has drawn significant attention from clinicians and researchers in recent years due to the increasing prevalence of HBV infection. This study aims to perform a systematic review and meta-analysis of the literature to show whether HBV infection is associated with an increased risk of osteoporosis. METHODS: Case-control, cohort, and cross-sectional studies that report the incidence of osteoporosis, osteoporotic fracture, osteopenia, and bone mineral density level in populations with HBV infection will be selected. Four databases from their inception to October 2019 will be searched. All data were assessed and extracted by 2 authors independently. The Newcastle-Ottawa scale and (Agency for Healthcare Research and Quality) Agency for Healthcare Research and Quality checklist will be used to assess the quality of the selected studies. Stata 15.1 (Stata Corp, College Station, TX) will be used to conduct meta-analysis. RESULT: The results of this systemic review and meta-analysis will be submitted to a recognized journal for publication. CONCLUSION: This systemic review and meta-analysis will determine whether HBV infection is associated with an increased risk of osteoporosis. We hope this review can provide a reliable evidence. REGISTRATION: PROSPERO (registration number CRD42020140522).
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.019 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".