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Record W2955841553 · doi:10.1093/dote/doz047.29

DOZ047.29: Pleural flap for partial esophageal substitution in case of difficult anastomosis

2019· article· en· W2955841553 on OpenAlexaff
S. De Napoli Cocci, Sébastien Faraj, Audrey Guinot, Shawn T. Joseph, D. Caldari, M-D Leclair

Bibliographic record

VenueDiseases of the Esophagus · 2019
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineSurgeryAnastomosisAtresia

Abstract

fetched live from OpenAlex

Esophageal reconstruction in long-gap atresia remains challenging for the surgeon. Complications of surgery, regardless of choices and methods proposed, are frequents, sometimes serious, and can significantly delay baby's feeding, with increased disruption of orality. The ideal is a reconstruction with only esophageal tissue available. There is renewed interest for technical of elongation described initially by Foker, especially modified by Van Der Zee.1 But, elongation is not always so simple that provided. We report an observation of esophageal atresia (type 1 Ladd), treated by rapid elongation. On the sixth day of procedure, right pleurisy reveals a rip at the apex of inferior esophagus. Anastomosis was possible on the posterior plane, but impossible on the anterior plane. The anterior plane has been reconstituted with a flap of parietal pleura. The operative course was simple without any fistula. Oral feeding started at fifteenth day postanastomosis was quickly complete. Gastrostomy left by security has not been used. Three endoscopic dilations have been necessary at six weeks, two and five months after anastomosis. At the age of eleven months, the orality was perfect, and diet was diversified with pieces. Use a pleural flap to bury or isolate sutures is well known technic.2 But use only pleura to replace the esophageal wall is not described. Partial reconstruction of a hemiesophageal wall with only pleura is possible, despite difficult conditions. It is a trick easily achievable in case of difficulty, with a good result that is maintained over time.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.011
GPT teacher head0.274
Teacher spread0.263 · 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 designCase report
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

Citations0
Published2019
Admission routes1
Has abstractyes

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