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Record W2790603556 · doi:10.1093/jcag/gwy009.216

A216 PREDICTING DIFFICULT CASES IN POEM (PER-ORAL ENDOSCOPIC MYOTOMY) PROCEDURES.

2018· article· en· W2790603556 on OpenAlexaff
Fahd Jowhari, Haruhiro Inoue, Haruo Ikeda, Manabu Onimaru, Robert Bechara

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldMedicine
TopicEosinophilic Esophagitis
Canadian institutionsQueen's University
Fundersnot available
KeywordsAchalasiaMyotomyMedicineGERDHigh resolution manometryHeller myotomyAdverse effectSurgeryEsophagusInternal medicineDisease

Abstract

fetched live from OpenAlex

POEM (per-oral endoscopic myotomy) is emerging as the new endoscopic standard for treating patients with achalasia. Originating from Japan, POEM is now performed at many tertiary care centers in North America. Hitherto, data from institutions regarding the safety & efficacy of the procedure has shown promising results. To ensure that the procedure is seamless, identifying challenging cases ahead of time would allow for better resource allocation & to plan accordingly. To identify if certain pre-procedural factors are associated with intra-procedural factors or post-procedural complications, to ultimately formulate a POEM difficulty score to allow endoscopists to predict difficult cases ahead of time. 51 POEM procedures performed for achalasia at a tertiary care centre in Japan were analyzed in the study. Most procedures were performed by advanced-therapeutics trainees with close proctoring by experienced endoscopists. Various pre-determined pre-procedural factors (age, sex, achalasia type, duration of symptoms, Eckardt score, morphology & prior treatments); intra-procedural factors (tunnel distention, submucosal fibrosis, abnormal contractions, submucosal oozing, orientation, length of myotomy, procedure time, number of clips used & intra-procedural adverse events) & post-procedural data points were collected & analyzed. A preliminary POEM difficulty score (out of 10) was formulated with each component worth 2 points (tunnel distention, submucosal fibrosis, abnormal contractions, submucosal oozing, orientation). Analyses were performed using chi-square tests for categorical data & T-tests/ANOVAs/Spearmans correlations for continuous data. The mean age was 44.3 ± 15.5 yrs & mean duration of symptoms 8.1 ± 9.9 yrs. Mean Eckardt score was 6.7 ± 2.2. Six patients (11.8%) had an intra-procedural event & 3 (5.9%) had an in-hospital adverse event. In the univariate analyses, the POEM difficulty score did not correlate with the occurrence of an intra-procedural event (p=0.203) or post procedure complications (p=0.80). Factors that correlated with the POEM difficulty score included morphology (S1/S2 vs. NS-D or NS-ND, p=0.006), prior treatments (pneumatic dilation vs. none, p=0.028) & age (p=0.030). A multivariate regression analysis was also conducted with variables removed sequentially, and even though trends were seen with some variables, type of achalasia was the only variable that maintained significance (p=0.048). Based on this study, there are indications that procedures involving older patients; S1/S2 morphology; type of achalasia (Type 1); and those with prior treatments may be more difficult overall. Further validation of these results as well as the POEM difficulty score is needed as our study was limited by smaller numbers, minimal adverse events, more trainee involvement, and less challenging procedures overall. 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)0.001
metaresearch head score (Gemma)0.004
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 score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.010
GPT teacher head0.249
Teacher spread0.239 · 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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Citations0
Published2018
Admission routes1
Has abstractyes

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