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S1029 Endoscopic Anti-Reflux Mucosectomy Versus Stretta Radiofrequency Ablation in the Treatment of Gastroesophageal Reflux Disease: A Systematic Review and Meta-Analysis

2025· article· en· W4416030483 on OpenAlexaboutno aff
Fariha Hasan, Zain ul Abideen, Sania Aimen, Noor Ul Huda Ramzan, Prasun K. Jalal

Bibliographic record

VenueThe American Journal of Gastroenterology · 2025
Typearticle
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsnot available
Fundersnot available
KeywordsRefluxRadiofrequency ablationMeta-analysisFunnel plotConfidence intervalPublication biasAdverse effectAblation

Abstract

fetched live from OpenAlex

Introduction: Gastroesophageal reflux disease (GERD) unresponsive to proton pump inhibitors (PPI) poses a significant clinical challenge as the treatment options are limited. Recently minimally invasive procedures including endoscopic anti-reflux mucosectomy (ARMS) and Stretta radiofrequency ablation (SRF) have emerged as newer treatment modalities for resistant GERD, however, direct comparison between the 2 are sparse. This meta-analysis compares the safety and efficacy of the ARMS and SRF for GERD. Methods: Electronic databases including PubMed, Cochrane Central, and ScienceDirect were searched from inception to January 2025. Risk ratios (RR) and mean differences (MD) along with 95% confidence intervals (CI) were pooled under the random effects model using the Review Manager version 5.4.1 for the dichotomous and continuous outcomes respectively. The primary and secondary endpoints of interest are the Gastroesophageal Reflux Disease Questionnaire (GERDQ) score, PPI withdrawal rate, symptom improvement rate, technical success rate and adverse effects. Quality assessment was done through the Cochrane Risk of Bias (RoB) 2.0 tool and the Newcastle Ottawa Scale. A leave-one-out sensitivity analysis was performed to investigate the cause of heterogeneity. Publication bias was assessed visually through funnel plot and statistically through Egger's regression test. Results: Three studies pooling a total of 480 patients were included in the quantitative synthesis. The ARMS group decreased the GERDQ score, but the results were statistically insignificant (RR -0.36; 95% CI [-0.87, 0.15]; P = 0.16; I2 = 0%). Other efficacy outcomes including PPI withdrawal rate (RR 0.84; 95% CI [0.55, 1.29]; P = 0.43; I2 = 77%), symptom improvement rate (RR 1.02; 95% CI [0.94, 1.10]; P = 0.66; I2 = 0%), and technical success rate (RR 1.00; 95% CI [0.99, 1.01]; P = 1.00; I2 = 0%) were comparable between the ARMS and SRF group. Similarly, regarding the safety profile, the 2 groups showed no significant difference in the adverse effects (RR 7.80; 95% CI [0.18,341.10]; P = 0.29; I2 = 89%). Conclusion: Both ARMS and SRF demonstrated comparable outcomes in terms of efficacy and safety for the treatment of GERD unresponsive to PPIs, suggesting that either of these minimally invasive procedures may be considered viable therapeutic options, with the choice of intervention potentially guided by physician expertise, patient preference, and resource availability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.020
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.024
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0200.031
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0060.000

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.

Opus teacher head0.027
GPT teacher head0.330
Teacher spread0.304 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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