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Record W2994224819 · doi:10.1089/bari.2019.0016

Long-Term Maintenance of Gastric Band, Even After Replacement, Improves Outcomes

2019· article· en· W2994224819 on OpenAlexaff
Shahar Atias, Yair Glazer, Solly Mizrahi, Uri Netz, Eliezer Avinoh, Yariv Fruchtman, Zvi Perry

Bibliographic record

VenueBariatric Surgical Practice and Patient Care · 2019
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsMontreal Children's HospitalMcGill University Health CentreMcGill University
Fundersnot available
KeywordsMedicineAdjustable gastric bandCohortDemographicsSurgeryQuality of life (healthcare)PopulationComplicationGastric bypassWeight lossInternal medicineDemographyObesityNursing

Abstract

fetched live from OpenAlex

Background: We estimated the surgical effects of laparoscopic adjustable gastric banding (LAGB) in a sample of primary band patients in comparison to patients who needed band replacement due to band malfunction. Methods: An historical cohort study, composed of patients who underwent LAGB in surgery ward A, Soroka University Medical Center, which compared primary to revisional band patients. We used a set of questionnaires, including demographics data, health condition, and a quality-of-life evaluation (Bariatric Analysis and Reporting Outcome System [BAROS]). Results: Our study included 343 patients, of whom 97 were revisional surgery to replace the band due to mechanical reasons and 217 had a primary band operation. There was no significant difference between the groups regarding demographics or weight, apart from gender. The total BAROS score was significantly different between the groups, significantly better for good/excellent results among the band replacements. Conclusions: Our results have shown that band replacement has a similar complication rate to primary surgery. The results of band replacement are very similar to primary band surgery and even show a larger reduction in excess weight over time. We believe that LAGB contributes to the improvement of comorbidities in patients who have undergone band replacement, at least as in the general population.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.264
Teacher spread0.255 · 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 designObservational
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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