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Record W2889218427 · doi:10.1097/sle.0000000000000573

Bilateral Axillo-Breast Approach to Endoscopic Thyroidectomy in a Porcine Model

2018· article· en· W2889218427 on OpenAlexaff
Hyeong Won Yu, In Eui Bae, Dong Sik Bae, Kyuhyung Kim, June Young Choi, Kyu Eun Lee

Bibliographic record

VenueSurgical Laparoscopy Endoscopy & Percutaneous Techniques · 2018
Typearticle
Languageen
FieldMedicine
TopicThyroid and Parathyroid Surgery
Canadian institutionsSt. Peter's Hospital
Fundersnot available
KeywordsMedicineThyroidectomySurgeryDissection (medical)General surgeryThyroidInternal medicine

Abstract

fetched live from OpenAlex

Traditional surgical training methods to teach young doctors have changed because of the emergence of animal models. The present article summarizes a protocol for bilateral axillo-breast approach (BABA) endoscopic thyroidectomy in a pig model. All procedures were approved by the local ethics committee and the pigs were anesthetized by a veterinarian. Formation of the flap involved skin marking, hydrodissection, blunt dissection and, finally, trocar insertion. BABA endoscopic thyroidectomy is performed by midline division, identification of the thyroid, thyroidectomy and, finally, surveillance of bleeding. Four cases of endoscopic thyroidectomy using porcine models were performed using the BABA approach. The mean weight of the pigs was 60 kg, and the mean operation time was 74.3 minutes. All surgeries were completed without complications. Surgical training for BABA endoscopic thyroidectomy using a porcine model is a valuable education method for young surgeons who need practice before performing surgery on human patients.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
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 head0.015
GPT teacher head0.295
Teacher spread0.279 · 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 teacher head, not a consensus.

Study designBench or experimental
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

Citations6
Published2018
Admission routes1
Has abstractyes

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