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Record W4413094256 · doi:10.1556/650.2025.33362

Speciális vonatkozások a bariátriai sebészetben

2025· review· hu· W4413094256 on OpenAlex
Gábor Barcsák, Allan Okrainec, Timothy Jackson, Todd Penner, Intekhab Hossain, Eviatar Kuhnreich, Áron Altorjay, Andras B. Fecso

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOrvosi Hetilap · 2025
Typereview
Languagehu
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsToronto Western HospitalUniversity Health Network
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Bariatric surgery is proven to be the most effective treatment for obesity and its associated metabolic diseases. In this review article, we aim to present the current developments and specific aspects of metabolic surgery, based on the scientific literature and the current trends of some high-volume bariatric centers. In North America – as well as in Europe and Hungary –, the most common bariatric procedures are the laparoscopic Roux-en-Y gastric bypass and the sleeve gastrectomy. A relatively new malabsorptive procedure, the single anastomosis duodenal-ileal bypass, is also being performed with increasing frequency. This article provides an overview of the long-term outcomes of these surgeries in terms of weight loss and their impact on comorbidities, based on relevant scientific literature from recent years. We also discuss the main factors influencing the choice of surgical technique, such as gastroesophageal reflux disease, hiatal hernia, preoperative body mass index, and the severity of associated diseases. Revision options are also addressed. Given the essential role of a multidisciplinary approach in modern bariatric surgery, we briefly touch on endobariatric procedures as well. Considering the severity of obesity in Hungary and the increasing number of bariatric procedures in the country, we believe our article may be of interest to the Hungarian medical community. Orv Hetil. 2025; 166(32): 1243–1249.

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.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.757
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0070.004
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0210.009

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 head0.033
GPT teacher head0.329
Teacher spread0.296 · 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