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Record W1984894750 · doi:10.1586/17474124.2014.910452

Achalasia – advances in treatment

2014· review· en· W1984894750 on OpenAlexaff
Markus Bo Schoenberg, Melina C. Vassiliou, Daniel von Renteln

Bibliographic record

VenueExpert Review of Gastroenterology & Hepatology · 2014
Typereview
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de MontréalMontreal General Hospital
Fundersnot available
KeywordsAchalasiaMedicineMyotomyBalloon dilationEsophageal motility disorderSurgeryBalloonBalloon dilatationComplicationEsophagus

Abstract

fetched live from OpenAlex

Achalasia is a primary esophageal motility disorder, which shows distinct clinical, manometric, radiologic, and pathologic features. Available treatment strategies are pharmacological, endoscopic or surgical. In the past decades preferred treatment has alternated between surgical myotomy (presently Laparoscopic Heller Myotomy [LHM]) and endoscopic balloon dilation (EBD). While surgical myotomy promises superior long-term results and significantly less retreatment, endoscopic balloon dilation is initially far less invasive and yields comparable results after redilation. Peroral Endoscopic Myotomy (POEM) aims to combine the minimal invasive approach through the mouth with the better long-term results after LHM. Initial findings in the literature point to comparable success-rates after POEM and LHM. In the literature complication rates are similar to those obtained after surgery. This new interventional technique should be subject to randomized controlled trials and compared to EBD and LHM.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.002

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 head0.025
GPT teacher head0.395
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 designNot applicable
Domainnot available
GenreReview

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

Citations3
Published2014
Admission routes1
Has abstractyes

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