Jackhammer Esophagus: From Manometric Diagnosis to Clinical Presentation
Bibliographic record
Abstract
Background: Jackhammer esophagus is a hypercontractile esophageal disorder recently brought to light with the advent of high resolution manometry (HRM). As little is known about its clinical presentation, the aim of this study was to identify the clinical characteristics associated with this new gastrointestinal motility disorder. Methods: A retrospective study was conducted on patients visiting the CHUM's Gastro-Intestinal Motility Center from January 2015 to December 2017. The HRM diagnoses were collated in a database along with age and sex of every individual. The latest Chicago classification (version 3.0) was used. Among all the patients subjected to HRM, those diagnosed with Jackhammer esophagus were included in the study. Patient charts were reviewed to collect relevant demographic and clinical data. Key Results: A total of 36 patients with Jackhammer esophagus were included (62 ± 13 years age, 89% females). Their main symptoms were dysphagia (72%), pyrosis (42%), retrosternal chest pain (36%), and epigastralgia (33%). Other manometric findings were hypertonia (22%) and/or inadequate relaxation (19%) of the lower esophageal sphincter. Among the 26 patients who had esogastroduodenoscopy, hiatal hernia was seen in 3 patients. Pathological gastroesophageal reflux was found in 4 of the 10 patients investigated by pH-monitoring. Conclusions and Inferences: Jackhammer esophagus represents 3% of the HRM diagnoses in this study, with a significant female preponderance. In more than two-thirds of cases, the clinical presentation of Jackhammer esophagus is dysphagia.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".