Evidence map›Paper›PMID 31471810›Full record

ReviewCurrent diabetes reports2019

Medical Devices in Obesity Treatment.

Aruchuna Ruban, Akash Doshi, Erika Lam, Julian P Teare

Open access · hybridAbstract readReview
In one paragraph

Review in Current diabetes reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Review
  3. Six intragastric balloons: Which to choose?World journal of gastrointestinal endoscopy · 2021
    Review
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Drug Therapy in Obesity: A Review of Current and Emerging Treatments.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Aruchuna RubanImperial College London, St Mary's Campus, London, W2 1NY, UK. aruchuna@doctors.org.uk.
Akash DoshiDepartment of Surgery & Cancer, Homerton University Hospital, London, E9 6SR, UK.
Erika LamDepartment of Surgery & Cancer, Homerton University Hospital, London, E9 6SR, UK.
Julian P TeareImperial College London, St Mary's Campus, London, W2 1NY, UK.
Homerton University Hospital · GBImperial College London · GB

Funding

Medical Research Council MC_PC_14139
6 · The paper itself

Abstract

purpose of reviewObesity is increasing at an alarming rate and now poses a global threat to humankind. In recent years, we have seen the emergence of medical devices to combat the obesity epidemic. These therapeutic strategies are discussed in this review dividing them into gastric and duodenal therapies. RECENT

findingsTraditionally, medical devices for obesity such as the intragastric balloon have focused on reducing gastric size, but more recently there has been a shift towards developing devices that modulate neural and hormonal responses to induce early satiety thus reducing oral intake. Medical devices for obesity treatment may have a role in those patients who are struggling to control their weight despite significant lifestyle modifications such as diet and exercise and who decline or are unfit for bariatric surgery. For the wider adoption and integration of these devices in the obesity treatment paradigm, more long-term efficacy and safety data from randomised controlled trials are required.

Indexed as

Bariatric SurgeryDuodenumHumansObesityStomachBariatric surgeryBody mass indexDuodenalEndoscopyGastricObesityWeight loss

Identifiers

PMID31471810
PMCPMC6719326
OpenAlexW2970831128

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.