Prevalence and Clinical and Endoscopic Characteristics of Cervical Inlet Patch (Heterotopic Gastric Mucosa)
Bibliographic record
Abstract
BACKGROUND: Cervical inlet patch (CIP), also called gastric inlet patch, is a heterotopic columnar mucosal island located in the cervical esophagus, which has been under-recognized by clinicians. AIM: We conducted a systemic review and meta-analysis to explore the prevalence and clinical and endoscopic characteristics of CIP. MATERIALS AND METHODS: Studies were searched through the PubMed, EMBASE, and Cochrane Library databases. The prevalence of CIP with 95% confidence interval (CI) was pooled by using a random-effect model. The association of CIP with demographics, clinical presentations, and endoscopic features was evaluated by odds ratios (ORs). RESULTS: Fifty-three studies including 932,777 patients were eligible. The pooled prevalence of CIP was 3.32% (95% CI=2.86%-3.82%). According to the endoscopic mode, the pooled prevalence of CIP was higher in studies using narrow-band imaging than in those using white light and esophageal capsule endoscopy (9.34% vs. 2.88% and 0.65%). The pooled prevalence of CIP was higher in studies where the endoscopists paid specific attention to the detection of this lesion (5.30% vs. 0.75%). CIP was significantly associated with male (OR=1.24, 95% CI=1.09-1.42, P=0.001), gastroesophageal reflux disease (OR=1.32, 95% CI=1.04-1.68, P=0.03), reflux symptoms (OR=1.44, 95% CI=1.14-1.83, P=0.002), dysphagia (OR=1.88, 95% CI=1.28-2.77, P=0.001), throat discomfort (OR=4.58, 95% CI=1.00-21.02, P=0.05), globus (OR=2.95, 95% CI=1.52-5.73, P=0.001), hoarseness (OR=4.32, 95% CI=1.91-9.78, P=0.0004), cough (OR=3.48, 95% CI=1.13-10.72, P=0.03), Barrett's esophagus (OR=2.01, 95% CI=1.37-2.94, P=0.0003), and esophagitis (OR=1.62, 95% CI=1.27-2.07, P=0.0001). CONCLUSION: CIP appears to be common by using narrow-band imaging, especially if the endoscopists would like to pay attention to the detection of this lesion. CIP is clearly associated with acid-related symptoms and Barrett's esophagus.
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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 | 0.007 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.011 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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".