Trial reportObesity surgery2014
Caloric intake capacity as measured by a standard nutrient drink test helps to predict weight loss after bariatric surgery.
Trial report in Obesity surgery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- EAES rapid guideline: systematic review, network meta-analysis, CINeMA and GRADE assessment, and European consensus on bariatric surgery-extension 2022.Surgical endoscopy · 2022Guideline
- Comparative Efficacy of Bariatric Surgery in the Treatment of Morbid Obesity and Diabetes Mellitus: a Systematic Review and Network Meta-Analysis.Obesity surgery · 2019Pooled it
- Ongoing Inconsistencies in Weight Loss Reporting Following Bariatric Surgery: a Systematic Review.Obesity surgery · 2019Pooled it
- Sleeve Gastrectomy Weight Loss and the Preoperative and Postoperative Predictors: a Systematic Review.Obesity surgery · 2019Pooled it
- The Universal Eating Monitor (UEM): objective assessment of food intake behavior in the laboratory setting.International journal of obesity (2005) · 2022 · on this mapReview
- Network Meta-Analysis of Metabolic Surgery Procedures for the Treatment of Obesity and Diabetes.Obesity surgery · 2021Article
- Baseline Presence of NAFLD Predicts Weight Loss after Gastric Bypass Surgery for Morbid Obesity.Journal of clinical medicine · 2020Article
- Reliability and responsiveness of virtual portion size creation tasks: Influences of context, foods, and a bariatric surgical procedure.Physiology & behavior · 2020Article
- Impact of bariatric surgery on type 2 diabetes: contribution of inflammation and gut microbiome?Seminars in immunopathology · 2019Review
- The Use of Predictive Markers for the Development of a Model to Predict Weight Loss Following Vertical Sleeve Gastrectomy.Obesity surgery · 2018Article
- Dilatation of Sleeve Gastrectomy: Myth or Reality?Obesity surgery · 2017Article
- Gastrointestinal Physiological Changes and Their Relationship to Weight Loss Following the POSE Procedure.Obesity surgery · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundInstruments that enable to select individuals that will benefit most from bariatric surgery (BS) are necessary to increase its cost-efficiency. Our goal was to assess if intake capacity, measured with a standardized test, predicts response to BS.
methodsPatients with criteria for BS were randomly allocated to laparoscopic gastric bypass (LRYGB) or sleeve gastrectomy (LSG). We measured caloric intake capacity before and 1 year after surgery using a standardized nutrient drink test. We evaluated if pre-surgery satiation could predict satiation and weight loss (%) 1 year after surgery using multiple regression modeling. Descriptive statistics are given as mean ± SD.
resultsFourteen women (48 ± 9 years old, BMI 41 ± 3 kg/m(2)) were evaluated before and 11 ± 2.6 months after surgery (seven LRYGB, seven LSG). Caloric intake capacity diminished after surgery (-950 ± 85 kcal on average [70 ± 8 % decrease over basal intake capacity]; p=0.002) and similarly in both LRYGB (72 ± 7 % decrease) and LSG groups (68 ± 8 % decrease); p=0.5. There was a significant weight reduction after surgery (-32 ± 10 kg [30 ± 8 % of total basal weight]) with a mean post-surgery BMI of 29 ± 2 kg/m(2). The best predictive model of weight loss (%) after surgery (R (2)=89 %, p=0.0009) included: BMI (p=0.0004), surgery type (p=0.01) and pre-surgery intake capacity (p=0.006). Weight loss was higher in heavier patients and those undergoing LRYGB. Patients with higher intake capacity had a poorer outcome independently of basal BMI and surgery type.
conclusionsCaloric intake capacity, as measured by a standard nutrient drink test, helps to predict weight loss after bariatric surgery. This test might be useful in algorithms of obesity treatment decision.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.