Prospective cohort study of <i>Helicobacter pylori</i> infection on the risk of nonalcoholic fatty liver disease
Bibliographic record
Abstract
To investigate the epidemiological connection between nonalcoholic fatty liver disease (NAFLD) and Helicobacter pylori ( H. pylori). 6,478 retired and active workers, aged 22-69 years, were included in the study. Their baseline measures of height, weight, waist measurement, body mass index, blood pressure, fasting blood sugar, plasma lipid, liver function index, glycosylated hemoglobin, abdominal ultrasonography, and findings from the line “13 C urea breath test” H. pylori test were analyzed, and follow-up with consistent baseline methods and criteria was performed annually. Over a 4-year period, the prevalence of NAFLD increased by 16.9%, with 612 (18.7%) of those who tested positive for H. pylori developing NAFLD, whereas 484 (15.1%) of those who did not test positive for H. pylori were later diagnosed with new NAFLD ( χ 2 = 14.862, P < 0.05). One of the risk factors identified in the univariable Cox regression model for NAFLD was H. pylori (Hazard Ratio = 1.297; 95.0% confidence interval (CI) 1.150,1.485, P < 0.000); however, H. pylori continued to be an independent factor affecting the risk of NAFLD even after accounting for gender, age, and aspects of the metabolic syndrome (Hazard Ratio = 1.240; 95.0% CI 1.077,1.429, P = 0.003). The growth of NAFLD may be correlated with H. pylori infection.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".