Role of Proton Pump Inhibitors on Rapid Urease Test (PYLO DRY) and Histopathological Examination
Bibliographic record
Abstract
In the diagnosis of Helicobacter pylori infection, rapid urease test (RUT) plays an important role.According to previous studies, if there was a low density of Helicobacter pylori in the stomach, then rapid urease test requires longer time to become positive.Density of Helicobacter pylori could be reduced by recent use of PPIs, hence rapid urease test may require longer reading time as well.The main objective was to determine the effect of PPI on the results of rapid urease test (PYLO DRY) and histopathology.Two antral biopsies were obtained from 35 dyspeptic patients, who underwent gastro intestinal endoscopy from March 2015 to July 2015.An informed consent from all patients and approval from the institutional ethical committee were obtained before proceeding.Antral biopsies were subjected for rapid urease test (PYLO DRY from HALIFAX RESEARCH LABORATORY KOLKATA, INDIA) and histopathologic examinations.The results of Rapid urease test were observed after 1 hour and 24 hours.The histopathologic examinations were used as the gold standard.PYLO DRY was positive in 17.6% (6) and 53 % (18) when observed after one hour and 24 hours respectively.Eight were positive during histopathological examination.In our study, 24 hours Rapid urease test yeilded higher sensitivity but lower specificity compared to RUT at 1 hour for diagnosis of H.pylori infection in patients who were on PPI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".