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Record W4206156877 · doi:10.21037/aoe-20-26

Ivor Lewis minimally invasive esophagectomy

2021· article· en· W4206156877 on OpenAlexaff
Gail Darling

Bibliographic record

VenueAnnals of Esophagus · 2021
Typearticle
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicineEsophagectomyInvasive surgerySurgeryGeneral surgeryEsophageal cancerCancer

Abstract

fetched live from OpenAlex

Esophagectomy is a complex operation with many steps. Adaption of this procedure to a minimally invasive approach has been embraced by many surgeons including totally minimally invasive Ivor Lewis esophagectomy, and hybrid procedures wherein either the abdominal phase or thoracic phase are performed minimally invasively, the other phase is open. When performing a minimally invasive procedure, it is recommended that the procedure should include all the same steps as the open operation. However, there is a lack of consensus around certain components of esophagectomy such as an en bloc technique or use of a gastric emptying procedure and so it is with the minimally invasive equivalent. Even the open approach varies between surgeons with some preferring the Ivor Lewis approach, some a transhiatal and others the McKeown approach. This article will describe my approach to the totally minimally invasive Ivor Lewis esophagectomy with notations regarding variations in practice.

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: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.074
GPT teacher head0.374
Teacher spread0.300 · 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
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

Citations1
Published2021
Admission routes1
Has abstractyes

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