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Record W2395743838 · doi:10.1503/cjs.017214

Early clinical experience with the POEM procedure for achalasia

2015· article· en· W2395743838 on OpenAlexaffvenueabout
Dennis Hong, Radu Pescarus, R. Khan, Luciano Ambrosini, Mehran Anvari, Margherita Cadeddu

Bibliographic record

VenueCanadian Journal of Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineAchalasiaMyotomyPerioperativeSurgeryHeller myotomyGeneral surgeryEsophagus

Abstract

fetched live from OpenAlex

BACKGROUND: Per oral endoscopic myotomy (POEM) is a viable alternative to standard Heller myotomy for surgical treatment of achalasia. Outcomes from the United States, Europe and Asia have been reported. We sought to report data after the initiation of POEM in a Canadian centre. METHODS: We enrolled patients with achalasia in a research ethics board-approved pilot study. Surgeons learned the POEM procedure in a systematic manner that included visiting experts in POEM, practice in an animal laboratory and mentoring from POEM experts. Preoperative evaluation included manometry, 24-hour pH, barium swallow, endoscopy and Eckhardt Symptom Score. All patients underwent gastrograffin swallow on postoperative day 1. Patients were re-evaluated using the Eckhardt score on postoperative day 14. RESULTS: Ten patients underwent POEM. Seven patients had previous endoscopic treatments: 6 had balloon dilatation and 1 had botulinum toxin injection. Mean preoperative Eckhardt score was 8.1 ± 2.4. Mean preoperative lower esophageal sphincter resting and residual pressure was 32.3 ± 9.2 and 20.8 ± 5.3, respectively. Mean duration of surgery was 141.3 ± 43.7 minutes. Mean length of hospital stay was 1 day. No major perioperative complications occurred. On postoperative day 14, the mean Eckhardt score was 1 ± 1.2. CONCLUSION: Our approach to POEM introduction was systematic and deliberate. The procedure is safe, feasible and has good perioperative outcomes. Our early results are consistent with current literature.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.007
Threshold uncertainty score0.569

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.136
GPT teacher head0.343
Teacher spread0.208 · 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 teacher head, 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".

Quick stats

Citations8
Published2015
Admission routes3
Has abstractyes

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