Demographic and symptomatic predictors of incomplete bolus transit in patients with ineffective oesophageal motility.
Bibliographic record
Abstract
Introduction: Ineffective oesophageal motility (IOM) describes a non-specific manometric pattern of peristaltic failure. It is a common abnormality, affecting as many as 61% of patients undergoing manometry for query oesophageal motility disorders. IOM is also known as hypotensive (<30mmHg) oesophageal contractions; bolus clearance is impaired by low amplitude and ineffective pressure waves. Oesophageal contractions with ≥30mmHg amplitudes are required to effectively propel food.4 IOM is defined as ineffective or non-transmitted, failed contractions (<30mmHg) occurring in at least 20% of swallows. \n Methods: A retrospective chart review of patients referred to a regional gut motility centre in Canada who were then diagnosed with IOM was performed. Multiple linear regression analysis was used to determine demographic predictors of incomplete bolus clearance, including gender, age and primary complaint. \n Results: A total of 230 patients (130 females, 100 males; mean age, 51.7 years; range, 18-82.3 years) with a diagnosis of IOM were included. Primary presenting complaints included dysphagia (33.9%), and heartburn and reflux (33%). Decreasing proportions of peristaltic contractions correlated significantly with decreased bolus transit. Conversely, higher intrabolus pressure correlated significantly with incomplete bolus transit. Intrabolus pressure serves as an indicator of outflow obstruction, and forces resisting peristalsis and incomplete bolus transport.5 Gender was not significant but increasing age was associated with less incomplete bolus transit. \n Conclusion: Dysphagia was the most common symptom reported by patients with IOM, followed by heartburn and reflux. Other demographic factors should be evaluated for their effect on bolus transit.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".