Prevalence and association of Helicobacter pylori infection in patients with metabolic syndrome: A case-control study
Bibliographic record
Abstract
Background and objective: Helicobacter pylori infection and metabolic syndrome are two progressive factors noticed in developing countries, but their association is still controversial. This study aimed to determine the prevalence and association of Helicobacter pylori infection in both subjects with and without metabolic syndrome. Methods: A case-control study was conducted at the Ble General Hospital, 658 subjects taken and divided into two groups first those who were diagnosed as metabolic syndrome (328 subjects) and second control group (330 subjects). Helicobacter pylori-specific IgG antibody and some biochemical tests were performed for both groups besides other parameters like blood pressure and BMI. Results: Having metabolic syndrome is associated with a higher probability of having Helicobacter pylori Abs (OR = 1.6; 95% CI = 1.096-2.341). Age group 40-49 years had more probability to have Helicobacter pylori Abs (OR = 2.054; 95% CI = 1.086-3.883). The prevalence of metabolic syndrome reported higher in females (77.4 %). No significant differences were detected between the rapid method and the ELIZA method for the detection of stool Ag (P = 0.921) but differences were significant in the detection of Helicobacter pylori Abs (P <0.001). Conclusion: The study demonstrates that having metabolic syndrome is associated with a higher probability of having Helicobacter pylori Abs compared with the controls. This study also showed immunochromatography is reliable for the detection of Helicobacter pylori stool Ag but not Ab. Keywords: Helicobacter pylori; Metabolic syndrome.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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".