Association between gastric rhythm and gastroesophageal reflux defined by simultaneous body surface gastric mapping and 24-hour pH testing
Bibliographic record
Abstract
Abstract Background Abnormal gastric myoelectrical function may contribute to gastroesophageal reflux disease (GERD). We assessed if myoelectrical abnormalities measured using body surface gastric mapping were correlated with reflux measured by 24 hr pH testing, and symptom severity. Methods Gastric Alimetry ® was performed simultaneously on patients undergoing 24 hr pH testing for investigation of reflux symptoms, with a standardised 4.5 hr test and validated symptom logging. Data were segmented into 15-minute epochs. Correlations between myoelectric activity, reflux events, and symptoms were assessed, including temporal correlations adjusted for repeated measures. Results Forty subjects were recruited (mean age 46.5 years, 60% female): 20 undergoing pH testing (12 with GERD and 8 symptomatic patients without), and 20 controls. GERD patients displayed less stable Gastric Alimetry® Rhythm-Index (GA-RI) compared with controls (p=0.011), but not with non-GERD patients (p=0.605). Decreasing GA-RI was associated with esophageal acid exposure (DeMeester score; r=-0.46, p=0.042). Periods of decreased GA-RI were not temporally correlated with reflux (r=0.08, p=0.182), or heartburn severity (r=0.04, p=0.309), but were correlated with nausea (r=-0.22, p<0.001) and excessive fullness (r=-0.28, p<0.001). Conclusion Gastric rhythm instability is associated with increased symptom severity and overall acid exposure in GERD patients, although no temporal link to heartburn was found. Reduced rhythm stability was temporally associated with increased nausea and fullness. GA-RI offers an emerging biomarker of gastric dysfunction in patients with GERD symptomatology. Study highlights What is known ● Heartburn is common and often medically refractory ● Gastric conduction and motility abnormalities may contribute to symptoms but the temporal relationship is unknown What is new here ● Gastric rhythm abnormalities measured by Gastric Alimetry® are correlated with increasing reflux burden and symptom severity ● There is no temporal association between gastric rhythm and reflux events ● Gastric rhythm abnormalities may predispose patients to worse reflux, but there is no direct temporal correlation
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".