ReviewBMJ surgery, interventions, & health technologies2022
Developing minimum core data structure for the obesity devices Coordinated Registry Network (CRN).
Review in BMJ surgery, interventions, & health technologies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Roux-en-Y gastric bypass, adjustable gastric banding or sleeve gastrectomy for severe obesity: The By-Band-Sleeve randomised controlled trial.Health technology assessment (Winchester, England) · 2026Trial
- Development of a Bariatric Surgery Core Data Set for an International Registry.Obesity surgery · 2023Article
- Maturity framework and select approaches for developing Coordinated Registry Networks (CRNs): Medical Device Epidemiology Network (MDEpiNet) supplement.BMJ surgery, interventions, & health technologies · 2022Article
- Developing the foundation for assessment of Devices used for Acute Ischemic Stroke Interventions (DAISI) using a Coordinated Registry Network.BMJ surgery, interventions, & health technologies · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Obesity continues to be a major public health issue, with more than two-thirds of adults in the USA categorized as overweight or obese. Bariatric surgery is effective and yields durable weight loss; however, few qualified candidates choose to undergo surgical treatment. Less-invasive alternatives to bariatric surgery are being developed to bridge the treatment gap. Recognizing the burden of conducting pivotal clinical trials and traditional post-approval studies for medical devices, the Food and Drug Administration (FDA) Center for Devices and Radiological Health has encouraged the development of real-world data content and quality that is sufficient to provide evidence for Total Product Life Cycle medical device evaluation. A key first step is to establish a minimum core data structure that provides a common lexicon for endoscopic obesity devices and its corresponding interoperable data elements. Such a structure would facilitate data capture across existing workflow with a 'coordinated registry network' capability. On July 29, 2016, a workshop entitled, 'GI Coordinated Registry Network: A Case for Obesity Devices' was held at the FDA White Oak Campus by the Medical Device Epidemiology Network public-private partnership and FDA to initiate the work of developing a common lexicon and core data elements in the metabolic device space, which marked the inauguration of the Gastrointestinal Coordinated Registry Network project. Several work groups were subsequently formed to address clinical issues, data quality issues, registry participation, and data sharing.
Indexed as
Identifiers
What OpenQuestion holds
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.