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Record W2328278076 · doi:10.17925/ee.2016.12.01.37

The Future of Sleeve Gastrectomy

2016· editorial· en· W2328278076 on OpenAlexaff
Michel Gagner

Bibliographic record

VenuetouchREVIEWS in Endocrinology · 2016
Typeeditorial
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsMedicineDuodenal switchGastric emptyingGastrectomyDiabetes mellitusType 2 diabetesPosition statementSleeve gastrectomyWeight lossSurgeryIntensive care medicineCaloric intakeGeneral surgeryObesity SurgeryObesityGastric bypassGastroenterologyInternal medicineStomachEndocrinologyCancer

Abstract

fetched live from OpenAlex

The International Diabetes Federation has recently published a position statement on bariatric surgery. Facing a global diabetes crisis, it has added various types of surgery on the gastrointestinal tract as powerful options among the armamentarium to normalise glycaemia, avoid regular medications and decrease costs in severely obese patients. Laparoscopic sleeve gastrectomy has been shown to be effective for the treatment of type 2 diabetes, with extremely low mortality and acceptable morbidity. It decreases caloric consumption, modifies gut hormones, changes gastric emptying, and lowers glycaemia. In the long term, if recurrences in weight or diabetes occur, it can be converted to a duodenal switch, potentially reaching 90% of patients with partial or complete remission.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.227
Threshold uncertainty score0.818

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.308
Teacher spread0.297 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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

Citations14
Published2016
Admission routes1
Has abstractyes

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