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1128 Effect of Sleeve Gastrectomy on Ghrelin, GLP-1, PYY, and GIP Gut Hormones: A Systematic Review and Meta-Analysis

2019· review· en· W2979856433 on OpenAlexaboutno aff
Thomas R. McCarty, Pichamol Jirapinyo, Christopher C. Thompson

Bibliographic record

VenueThe American Journal of Gastroenterology · 2019
Typereview
Languageen
FieldMedicine
TopicBariatric Surgery and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePeptide YYGhrelinSleeve gastrectomyJadad scaleInternal medicineMeta-analysisPublication biasWeight lossCochrane LibraryGastroenterologyGastrectomyFunnel plotEndocrinologyHormoneObesityCancerGastric bypass

Abstract

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INTRODUCTION: Despite sleeve gastrectomy becoming the most common surgical weight loss procedure, weight loss mechanisms remain less clear. The primary aim of this study was to perform a structured systematic review and meta-analysis of all eligible studies to evaluate changes in various gut hormone levels in patients following sleeve gastrectomy. METHODS: Searches of PubMed, EMBASE, Web of Science, and the Cochrane Library databases were performed through April 1, 2019 in accordance with PRISMA and MOOSE guidelines. Measured outcomes included pre- and post-operative hormones: fasting ghrelin, post-prandial glucagon-like peptide-1 (GLP-1), post-prandial peptide YY (PYY), and fasting gastric inhibitory peptide (GIP) levels. Hedge’s g was used to determine pooled effect size and corresponding 95% confidence intervals (CIs). Heterogeneity was assessed with Cochran Q test and I 2 statistics. Study quality was evaluated with the Newcastle-Ottawa Quality Assessment Scale (NOS) score for observational studies and JADAD score for randomized controlled trials. Publication bias was evaluated by funnel plot using Egger and Begg tests. RESULTS: A total of 28 studies (n = 653; 29.56% male) were included. Mean age was 42.00 ± 5.48 years with average follow-up of 11.70 ± 11.38 months. Pre-procedure BMI was 46.01 ± 4.07 kg/m 2 with a post-sleeve gastrectomy BMI of 34.07 ± 3.73 kg/m 2 (%EWL 57.48 ± 9.64). Ghrelin decreased [Hedge’s g of -1.486 (95% CI, -1.884 to -1.089); I 2 = 91.95%; Q -value of 310.57] while GLP-1 and PYY increased post-procedure [Hedge’s g of 1.095 (95% CI, 0.509 to 1.642); I 2 = 84.38%; Q -value of 70.43) and Hedge’s g of 1.396 (95% CI, 0.781 to 2.011); I 2 = 84.02%; Q -value of 62.59), respectively]. GIP did not significantly change [Hedge’s g of -0.213 (95% CI, -1.019 to 0.592; I 2 = 79.65%; Q -value of 4.92]. Baseline characteristics as stratified by individual gut hormone are shown in Table 1. Quality assessment revealed all studies to be of high quality (i.e., NOS score ≥4 or JADAD score of ≥3). Classic fail-safe determined it would take 2044, 244, and 248 non-significant studies to nullify the difference in gut hormone levels for ghrelin, GLP-1, and PYY, respectively. CONCLUSION: Ghrelin levels decrease while post-prandial GLP-1 and PYY increase after sleeve gastrectomy. GIP levels remain unchanged. Future studies are needed to assess the role of these gut hormones and relationship to weight loss and metabolic outcomes. These results may have the potential to optimize patient selection in an era personalized medicine.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.569
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0230.004
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.340
Teacher spread0.301 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations42
Published2019
Admission routes1
Has abstractyes

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