Association between Hepatitis B virus and gastric cancer: A systematic review and meta-analysis
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
An increasing number of studies are suggesting that hepatitis B virus (HBV) infection may be associated with an increased risk of not only hepatocellular carcinoma but also gastric cancer (GC). Whether HBV infection can be a risk factor for GC remains to be explored. In this study, we systematically searched for all eligible literature in 7 databases (China National Knowledge Infrastructure, WanFang, China Science and Technology Journal, PubMed, Cochrane Library, Web of Science and Embase). Eligible studies were required to have a case-control or cohort design. Sixteen studies were included and a meta-analysis was performed using Stata version 17.0. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. The association between HBV infection and risk of GC was quantified by calculating the odds ratio and 95% confidence interval. The proportion of high-quality studies was 87.5% (14/16). The risk of GC was higher when HBV infection was present than when it was not (combined odds ratio 1.29, 95% confidence interval 1.16–1.44; I2 = 62.7%, p < 0.001). The results of subgroup analyses were consistent with the main results. In conclusion, this systematic review and meta-analysis identified a positive association between HBV infection and an increased risk of GC.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.020 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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