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Pathophysiological Factors Involved in Anastomotic Stricture Formation after Roux-en-y Gastric Bypass Surgery (RYGB)

2012· article· en· W2978203191 on OpenAlexaboutno aff
Rohini R. Vanga, Raj Majithia, Timothy Shope, Frederick C. Finelli, Timothy R. Koch

Bibliographic record

VenueThe American Journal of Gastroenterology · 2012
Typearticle
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAnastomosisBody mass indexSurgeryRetrospective cohort studyRoux-en-Y anastomosisObesityGastric bypassInternal medicineWeight loss

Abstract

fetched live from OpenAlex

Purpose: Recent surveys have shown that the prevalence of obesity in the U.S. has risen to 32%. There are 220,000 bariatric surgical procedures performed yearly in the U.S. and Canada; RYGB is the most common surgical treatment for morbid obesity in the U.S. RYGB reduces both medical complications and mortality in obese patients. A gastrojejunal (GJ) anastomotic stricture occurs in up to 27% of patients after RYGB, but the causes of postoperative strictures are poorly understood. This study was designed to evaluate factors that might increase the risk of GJ stricture formation after RYGB. Methods: This is a retrospective cohort study. Patients (n=165) who underwent open or laparoscopic RYGB from 6/2006 to 3/2011 and who were seen in our bariatric GI clinic at a large, urban community hospital were included. Medical records of all patients were reviewed. We recorded age, gender, ethnicity, body mass index (BMI), surgical technique, and possible factors that could contribute to postoperative stricture formation. The primary endpoint was identification of factors associated with GJ stricture formation. We also performed an analysis of the outcomes of endoscopic management of strictures. Statistical analysis was performed using Chi-squared testing and multivariate analysis. Results: There were 147 women and 18 men: 24.2% Caucasian- and 71.5% Black-Americans. Thirty-five patients (25.6%) developed GJ strictures. BMIs were not different between GJ stricture (mean 50 kg/m2) compared to no stricture (51.5 kg/m2). There was no significant difference in stricture formation in patients using NSAIDs, smoking or who had H. pylori or coronary artery disease. Stricture was more common (p=0.03) in older patients, Caucasians (p=0.005), patients with obstructive sleep apnea (OR 2.46, 95% CI 1.1456 to 5.3232, p=0.02), patients with marginal ulcer formation (OR 3.689, 95% CI 1.5075 to 9.0742, p=0.004), and patients taking proton pump inhibitors (OR 3.20, 95% CI 1.4734 - 6.99, p=0.003). All 35 GJ strictures in our study were successfully treated with endoscopic pneumatic dilation with a through-the-scope balloon dilator. An average of two sessions was required for symptomatic improvement, but 1 patient required 9 dilation sessions and then injection of Triamcinolone. Conclusion: Our findings show that age, ethnicity, obstructive sleep apnea, marginal ulcer formation and use of proton pump inhibitors are associated with statistically significant increased risk of GJ anastomotic stricture formation after RYGB surgery. Sleep apnea may increase the risk of ischemia. These findings will be used in the development of a prospective protocol. GJ strictures were successfully treated with balloon dilation, which required an average of two sessions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.246
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2012
Admission routes1
Has abstractyes

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