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Record W4391873664 · doi:10.1093/jcag/gwad061.144

A144 ZENKER’S PERORAL ENDOSCOPIC MYOTOMY (Z-POEM) OUTCOMES IN TREATMENT OF ZENKER’S DIVERTICULUM: A RETROSPECTIVE CASE SERIES

2024· article· en· W4391873664 on OpenAlexaffabout
Michael Youssef, C Ching Hui Yee, Robert Bechara

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldHealth Professions
TopicDysphagia Assessment and Management
Canadian institutionsKingston Health Sciences CentreMcGill UniversityUniversity of Toronto
Fundersnot available
KeywordsZenker's diverticulumMyotomyMedicineDiverticulum (mollusc)SurgeryAchalasiaEsophagusDysphagia

Abstract

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Abstract Background Zenker’s diverticulum (ZD) is an outpouching of tissue in an area of the posterior hypopharynx called the Killian triangle. ZD is associated with dysphagia, regurgitation, cough and recurrent aspirations. Open surgical repair has been the traditional treatment approach but has high morbidity (0-40%) and mortality (0-9.5%). Endoscopic intervention with septotomy is a less invasive approach with lower complications and shorter recovery times. However, technical success rates range between 56.4-100%, and recurrences occur in 0-32% of patients. Recent studies have shown promising results for peroral endoscopic myotomy treatment of ZD (Z-POEM), although data is limited. Aims In this first Canadian case series, we assess the safety and efficacy of Z-POEM, a novel approach for managing ZD. Methods This is a retrospective case series of all patients who underwent Z-POEM for ZD at Kingston Health Sciences center between July 2021-2023. Data collected included patient demographics, symptoms [Kothari Haber Score (KHS)] pre and post Z-POEM, ZD size and prior treatments. Technical outcomes were also analyzed including the procedure time and the Z-POEM Difficulty Score (ZPDS), which ranges from 0-3 based on maneuverability, fibrosis, and oozing. Clinical success was defined as complete or near-complete resolution of symptoms (i.e. KHS ampersand:003C2), and recurrence was defined as KHS of 3 or more. Lastly, we recorded adverse events and hospital length of stay. Results This case series included 9 patients (6 males and 3 females). The mean age ± standard deviation (SD) was 66.1 ± 10.64 years. One patient had two separate Z-POEM procedures and those were analyzed separately (total sample size = 10). The mean duration of symptoms before the procedure was 31.2 ± 10.12 months and the mean size of ZD was 2.25 ± 1.10 cm. Two patients had prior treatments before their Z-POEM procedure. The median preprocedural KHS was 6 (range 3-10) with dysphagia being the most commonly reported symptom in 80% of patients. In terms of technical outcomes, the mean procedural time was 32.3 ± 13.21 mins, and the median ZPDS score was 2. Most patients required 4-6 clips, with one patient requiring 11 clips for closure. No adverse events or periprocedural complications were reported. 9/10 patients (90%) were discharged one day after the procedure, and one patient required a longer stay (4 days) for observation. Clinical success was achieved in 8/10 patients (80%) of patients with a KHS score of 0 at mean 12 months follow-up. The remaining two patients (20%) had a KHS score of 3 at follow-up suggesting some persistent symptoms. Conclusions Z-POEM is safe and effective in management of ZD with high technical and clinical success rates in the short-term. Larger-scale studies are required to determine the long-term clinical efficacy of Z-POEM in treatment of ZD. Funding Agencies None

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.336
Teacher spread0.314 · 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 designObservational
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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Citations1
Published2024
Admission routes2
Has abstractyes

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