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S1028 Is Peroral Endoscopic Myotomy Superior to Septotomy for Zenker’s Diverticulum? A Systematic Review and Meta-Analysis

2025· article· en· W4416030477 on OpenAlexaboutno aff
Fariha Hasan, Zain Ul Abideen, Muhammad Hassan Waseem, Sania Aimen, Noor Ul Huda Ramzan, Shahryar Khan, Prasun K. Jalal

Bibliographic record

VenueThe American Journal of Gastroenterology · 2025
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMyotomyFunnel plotAdverse effectMeta-analysisConfidence intervalCochrane LibraryPublication biasEndoscopy

Abstract

fetched live from OpenAlex

Introduction: Zenker’s diverticulum (ZD) management has evolved significantly, transitioning from open surgery to advanced endoscopic techniques with septotomy being the traditional approach. This includes the flexible and rigid endoscopic septotomy. Per oral endoscopic myotomy (POEM) has shown promising safety and efficacy in the treatment of ZD, but comparative data between POEM and septotomy remain sparse. This meta-analysis aimed to compare the efficacy and safety of POEM versus septotomy for ZD. Methods: Electronic databases, including PubMed, Cochrane Central, and ScienceDirect, were searched from inception to January 2025. The risk ratios (RR) and mean differences (MD) with 95% confidence intervals (CIs) were pooled under the random effects model using Review Manager version 5.4.1 for the dichotomous outcomes. The primary and secondary endpoints of interest were technical success, clinical success, re-interventions, and adverse events. The quality assessment was done through the Newcastle Ottawa Scale, whereas publication bias was assessed through funnel plots and Egger’s regression test. Results: Nine studies encompassing 676 patients were included in this meta-analysis. POEM showed a statistically significant increase in clinical success (RR 1.09; 95% CI [1.03,1.16]; P = 0.005; I2 = 0%). Regarding the technical success, no significant difference was observed between the 2 groups (RR 0.99; 95% CI [0.97,1.02]; P = 0.62; I2 = 0%). Other outcomes including the symptom recurrence (RR 0.55; 95% CI [0.25, 1.21]; P = 0.14; I2 = 28%), adverse events (RR 0.59; 95% CI [0.23, 1.51]; P = 0.27; I2 = 58%), procedural time (MD -1.21 min; 95% CI [-9.28, 6.86 ]; P = 0.77; I2 = 85%) and length of hospital stay (MD -0.07; 95% CI [-0.55,0.42 ]; P = 0.79; I2 = 52%) were also comparable between the POEM and septotomy groups. Conclusion: POEM demonstrates a significantly higher clinical success rate compared to traditional endoscopic septotomy in the management of Zenker’s diverticulum, indicating its superior effectiveness in symptom resolution. Despite this advantage, both POEM and septotomy show comparable outcomes in terms of technical success, symptom recurrence, adverse events, procedural time, and length of hospital stay, underscoring that POEM maintains a similar safety profile and procedural feasibility. These findings suggest that POEM not only offers enhanced therapeutic efficacy but also represents a safe and minimally invasive alternative to septotomy.

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)0.013
metaresearch head score (Gemma)0.028
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 score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.028
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0200.034
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.040
GPT teacher head0.410
Teacher spread0.370 · 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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