Use of LARA-urea Breath Test in diagnosis of<i>Helicobacter pylori</i>Infection in Children and Adolescents: A Preliminary Study
Bibliographic record
Abstract
BACKGROUND: An accurate diagnosis of Helicobacter pylori infection in children currently relies upon histological assessment or culture of gastric biopsies obtained at endoscopy. Noninvasive testing would permit simpler assessment of children with dyspeptic symptoms. The primary aim of the present study was to prospectively evaluate a novel urea breath testing method in children undergoing diagnostic assessment of dyspeptic symptoms and secondarily to consider the roles of other noninvasive tests in these children. METHODS: Laser associated ratio analysis (LARA)-13C urea breath testing was performed on children presenting with upper gastrointestinal symptoms for diagnostic endoscopy. Serum and stool were collected for performance of serology and stool antigen testing, respectively. Histology and culture of endoscopic biopsies of the gastric antrum were used to establish H pylori infection status. RESULTS: Eight (36%) of 22 children were H pylori-positive by histology or culture of gastric biopsies. Urea breath testing showed a sensitivity of 75%, but specificity of 100%. The deletion of a test meal from the urea breath test protocol in eight patients did not alter the utility of the test. Serology provided sensitivity of 87.5%, but a specificity of only 75%. Stool antigen testing in eight available samples provided sensitivity of 50% and specificity of 100%. CONCLUSIONS: The LARA-urea breath testing method provided less sensitivity in this group of children than suggested from previous studies. However, urea breath testing in children is easy to complete and provides rapid noninvasive results. Breath testing protocols require standardization; for instance, the addition of a test meal may not be necessary in older children. Although noninvasive tests for the presence of H pylori in children may provide accurate results and can be considered for use in the initial assessment of dyspeptic children, further work is required to establish the most accurate testing methods.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".