Evidence map›Paper›PMID 27486338›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2016

Smartphone applications to aid weight loss and management: current perspectives.

Elizabeth F Sutton, Leanne M Redman

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

2 authors.

Elizabeth F SuttonPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
Leanne M RedmanPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development and dissemination of smart devices has cultivated a global environment of hyperconnectivity and increased our access to information. The paralleled launch and success of the Mobile Health industry has created a market of commercially available applications or "apps" along with tools or sensors, which allow the user to receive and collect personal health information. Apps and accompanying tools now allow an individual to "self-digitize" and, pertaining to weight management, monitor their body weight, caloric intake, physical activity, and more. These products possess the ability to improve the scalability of traditional in-person weight management services considering their near ubiquity, affordability, and capability to deliver information directly and personally to the user. However, similar to the dietary supplement market, the anecdotal value of these products has driven their popularity and acceptance by the general public without requirement of scientific validation or, in the area of weight management or diet/exercise, validation of the safety and efficacy by the Food and Drug Administration prior to market launch. By conducting a literature and clinical trial search, we found remarkably few active, completed, or published studies testing the efficacy of smart device applications using randomized controlled trials. Research efforts must be focused on illuminating the efficacy of behavioral interventions and remote self-monitoring for weight loss/maintenance treatment with true, randomized controlled trials.

Indexed as

appapplicationmobile phonesmartphoneweightweight lossweight maintenance

Identifiers

PMID27486338
PMCPMC4957635

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.