Management of Patients With Refractory Reflux‐Like Symptoms Despite Proton Pump Inhibitor Therapy: Evidence‐Based Consensus Statements
Bibliographic record
Abstract
BACKGROUND: Many patients diagnosed with gastro-oesophageal reflux disease (GERD) have persistent symptoms despite proton pump inhibitor (PPI) therapy. AIMS: The aim of this consensus is to provide evidence-based statements to guide clinicians caring for patients with refractory reflux-like symptoms (rRLS) or refractory GERD. METHODS: This consensus was developed by the International Working Group for the Classification of Oesophagitis. The steering committee developed specific PICO questions pertaining to the management of PPI rRLS. Methodologists conducted systematic reviews of the literature. The quality of evidence and strength of recommendations were rated using the GRADE approach. RESULTS: Consensus was reached on 13 of 17 statements on diagnosis and management. For rRLS, suggested diagnostic strategies included endoscopy, ambulatory reflux testing and oesophageal manometry. The group did not reach consensus on the role of oesophageal biopsies or the use of reflux-symptom association in patients undergoing reflux testing. The group suggested against increasing the PPI dose in patients who had received 8 weeks of a twice-daily PPI. Adjunctive alginate or antacid therapy was suggested. There was no consensus on the role of adjunctive prokinetics. There was little role for adjunctive transient lower oesophageal sphincter relaxation (TLESR) inhibitors or bile acid sequestrants. Endoscopic or surgical anti-reflux procedures should not be performed in patients with rRLS in the absence of objectively confirmed GERD. CONCLUSIONS: The management of rRLS should be personalised, based on shared decision-making regarding the role of diagnostic testing to confirm or rule out GERD as a basis for treatment optimisation. Anti-reflux procedures should not be performed without objective confirmation of GERD.
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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 | 0.138 | 0.248 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.009 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.009 | 0.008 |
| Research integrity | 0.010 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".