The Association of<i>Helicobacter pylori</i>Infection and Nonsteroidal Anti-Inflammatory Drugs in Peptic Ulcer Disease
Bibliographic record
Abstract
BACKGROUND AND AIM: Peptic ulcer disease (PUD) affects 10% of the world population. Helicobacter pylori infection and the use of a nonsteroidal anti-inflammatory drug (NSAID) are the principal factors associated with PUD. The aim of the present study was to evaluate a cohort of patients with PUD and determine the association between H pylori infection and NSAID use. PATIENTS AND METHODS: The medical charts of patients with endoscopic diagnosis of PUD were retrospectively reviewed from September 2002 to August 2003. Patients were divided into three groups according to ulcer etiology: H pylori infection (group 1); NSAID use (group 2); and combined H pylori infection and NSAID use (group 3). RESULTS: One hundred two patients were evaluated: 36 men (35.3%) and 66 women (64.7%). Forty patients had H pylori infection, 43 had used NSAIDs and 15 had combined H pylori infection and NSAID use; four patients with ulcers secondary to malignancy were excluded. The frequency of women was significantly higher in group 2 (P=0.01). The mean age of patients in group 1 was significantly lower than in the other two groups (P=0.003). PUD developed earlier in group 3 than in group 2 (5.0+/-4.7 months versus 1.4+/-2.1 months, respectively, P=0.018). Thirty-two patients (32.7%) had bleeding peptic ulcer. Group 2 had a higher risk of bleeding peptic ulcer than the other two groups (P=0.001). CONCLUSIONS: The development of PUD was observed earlier in the combined H pylori and NSAID group than in patients with only NSAID use. This suggests a synergic effect between the two risks factors in the development of PUD.
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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 | 0.001 | 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 | 0.001 |
| 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 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".