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Record W1732747891 · doi:10.1089/lap.2014.0454

Peroral Esophageal Myotomy Versus Laparoscopic Heller's Myotomy for Achalasia: A Meta-analysis

2015· review· en· W1732747891 on OpenAlexaboutno aff
Mingtian Wei, Tinghan Yang, Xuyang Yang, Ziqiang Wang, Zong‐Guang Zhou

Bibliographic record

VenueJournal of Laparoendoscopic & Advanced Surgical Techniques · 2015
Typereview
Languageen
FieldMedicine
TopicGastroesophageal reflux and treatments
Canadian institutionsnot available
FundersSichuan University
KeywordsAchalasiaMedicineMyotomyMeta-analysisConfidence intervalOdds ratioSurgeryInternal medicineEsophagus

Abstract

fetched live from OpenAlex

BACKGROUND: This meta-analysis aims to add convincing evidence on the application of peroral esophageal myotomy (POEM), compared with laparoscopic Heller's myotomy (LHM), for the treatment of achalasia. MATERIALS AND METHODS: The electronic databases of PubMed, the Cochrane Central Register of Controlled Trials, the Cochrane Database of Systematic Reviews, and Embase (up to December 2013) were systematically searched. EndNote(®) X6 citation software (Thomson Reuters, New York, NY) was used for literature management. A modification of the Newcastle-Ottawa Scale was applied for quality assessment. The data were analyzed using Review Manager version 5.1 software (The Cochrane Collaboration, Oxford, United Kingdom), and sensitivity analysis was performed by sequentially omitting each study. RESULTS: Overall, four studies compared the outcomes between POEM and LHM. All studies were conducted in the United States and published in 2013. POEM was associated with comparable complications (odds ratio [OR]=1.17, 95% confidence interval [CI] 0.53-2.56, P=.70), gastroesophageal reflux (OR=1.00, 95% CI 0.38-2.61, P=1.00), and symptomatic recurrence by Eckardt score (OR=0.24, 95% CI 0.04-1.55, P=.13). Other outcomes including pain score, operating time, and hospital stay were assessed with no significant difference between POEM and LHM. CONCLUSIONS: POEM achieves equivalent short-term outcomes compared with LHM for achalasia. This novel procedure is a promising treatment for achalasia.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.648
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0140.011
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.170
GPT teacher head0.451
Teacher spread0.282 · 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; both teacher heads agree on what is shown here.

Study designMeta-analysis
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

Citations37
Published2015
Admission routes1
Has abstractyes

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