Trial reportObesity surgery2018
Implanted Closed-Loop Gastric Electrical Stimulation (CLGES) System with Sensor-Based Feedback Safely Limits Weight Regain at 24 Months.
Trial report in Obesity surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01448785 (Abiliti™ Treatment in Obese Subjects), which is not on this map. Cited by 7 papers.
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.
Abiliti™ Treatment in Obese Subjects: A Randomized Post-Market Surveillance Multicenter Study
Who cites it
7 citing papers in PubMed.
- Validation of a new measure of quality of life in obesity trials: Impact of Weight on Quality of Life-Lite Clinical Trials Version.Clinical obesity · 2019 · on this mapTrial
- Recent advances in facilitating the translation of bioelectronic medicine therapies.Current opinion in biomedical engineering · 2025Article
- Current state of the art and future directions for implantable sensors in medical technology: Clinical needs and engineering challenges.APL bioengineering · 2023Review
- Clinical application and research progress of extracellular slow wave recording in the gastrointestinal tract.World journal of gastrointestinal surgery · 2022Review
- Transvenous Phrenic Nerve Stimulation for Treatment of Central Sleep Apnea: Five-Year Safety and Efficacy Outcomes.Nature and science of sleep · 2021Article
- Electroceuticals in the Gastrointestinal Tract.Trends in pharmacological sciences · 2020Review
- Electroceutical Targeting of the Autonomic Nervous System.Physiology (Bethesda, Md.) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWeight regain following bariatric surgery is not uncommon. Safe, effective weight loss treatment up to 1 year has been reported with the closed-loop gastric electrical stimulation (CLGES) system. Continuous recording of eating and activity behavior by onboard sensors is one of the novel features of this closed-loop electrical stimulation therapy, and may provide improved long-term weight maintenance by enhancing aftercare.
methodsFour centers participating in a 12-month prospective multicenter randomized study monitored all implanted participants (n = 47) up to 24 months after laparoscopic implantation of a CLGES system. Weight loss, safety, quality of life (QOL), and cardiac risk factors were analyzed.
resultsWeight regain was limited in the 35 (74%) participants remaining enrolled at 24 months. Mean percent total body weight loss (%TBWL) changed by only 1.5% between 12 and 24 months, reported at 14.8% (95% CI 12.3 to 17.3) and 13.3% (95% CI 10.7 to 15.8), respectively. The only serious device-/procedure-related adverse events were two elective system replacements due to lead failure in the first 12 months, while improvements in QOL and cardiovascular risk factors were stable thru 24 months.
conclusionDuring the 24 month follow-up, CLGES was shown to limit weight regain with strong safety outcomes, including no serious adverse events in the second year. We hypothesize that CLGES and objective sensor-based behavior data combined to produce behavior change. The study supports CLGES as a safe obesity treatment with potential for long-term health benefits.
trial registrationClinicalTrials.gov identifier: NCT01448785.
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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.