MétaCan
Menu
Back to cohort
Record W2600451384 · doi:10.1089/bari.2016.0046

Different Quality of Life Outcomes Between Roux-en-Y Gastric Bypass and Laparoscopic Adjustable Gastric Banding

2017· article· en· W2600451384 on OpenAlexaboutno aff
Roberto Accardi, Ezio Lattuada, Emanuela Racaniello, Silvia Ronchi, Stefano Terzoni, Anne Destrebecq

Bibliographic record

VenueBariatric Surgical Practice and Patient Care · 2017
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Weight lossGastric bandingGastric bypassLaparoscopic adjustable gastric bandingPsychological interventionGastric bypass surgerySurgeryCohortObesityPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Objective: This study was conducted to analyze if bariatric surgery interventions can induce changes in quality of life (QoL) perception of obese people and to compare the outcomes of two different kinds of bariatric surgery interventions. Methods: A before–after study on a cohort of obese patients who were subjected to bariatric surgery in the years 2013–2015 was conducted. QoL using the Laval Questionnaire, a tool specifically created for the evaluation of QoL on obese people waiting for surgery, was assessed. Results: One hundred sixty subjects were enrolled in the final sample (62 for gastric bypass vs. 98 for adjustable gastric banding [GB]). Incremental improvements in QoL have occurred in the third month after surgery, with a contextual progressive weight loss. Subjects who underwent gastric bypass experienced greater improvements in QoL and a more important weight loss than patients who were subjected to adjustable GB. Conclusions: After 12 months, general QoL shows an improvement and an important weight loss occurs in many patients; hopefully, these results will be sustained in a longer period. Bariatric surgery could be an important solution for the improvement of QoL in obese people.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.043
GPT teacher head0.333
Teacher spread0.291 · 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 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

Citations4
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueBariatric Surgical Practice and Patient CareSame topicBariatric Surgery and OutcomesFrench-language works237,207