Evidence map›Paper›PMID 28942537›Full record

ReviewCurrent diabetes reports2017

A Review of Technology-Assisted Interventions for Diabetes Prevention.

Shira Grock, Jeong-Hee Ku, Julie Kim, Tannaz Moin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current diabetes reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 2 pooled it
–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

45 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Shira GrockDivision of Endocrinology, Diabetes and Hypertension, Department of Medicine, David Geffen School of Medicine at UCLA, 900 Veteran Avenue, 24-130 Warren Hall, Los Angeles, CA, 90095, USA. sgrock@mednet.ucla.edu.
Jeong-Hee KuDivision of Endocrinology, Diabetes and Hypertension, Department of Medicine, David Geffen School of Medicine at UCLA, 900 Veteran Avenue, 24-130 Warren Hall, Los Angeles, CA, 90095, USA.
Julie KimDivision of Endocrinology, Diabetes and Hypertension, Department of Medicine, David Geffen School of Medicine at UCLA, 900 Veteran Avenue, 24-130 Warren Hall, Los Angeles, CA, 90095, USA.
Tannaz MoinVeterans Affairs Greater Los Angeles Healthcare Systems, 10940 Wilshire Boulevard, Suite 700, Los Angeles, CA, 90024, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe high prevalence of prediabetes and success of the diabetes prevention program (DPP) has led to increasing efforts to provide readily accessible, cost-effective DPP interventions to the general public. Technology-assisted DPP interventions are of particular interest since they may be easier to widely distribute and sustain as compared to traditional in-person DPP. The purpose of this article is to provide an overview of currently available technology-assisted DPP interventions. RECENT

findingsThis review focuses on studies that have examined the use of mobile phone text messaging, smartphone/web-based apps, and telehealth programs to help prevent or delay the onset of incident type 2 diabetes. While there is variability in the results of studies focused on technology-assisted DPP and weight loss interventions, there is evidence to suggest that these programs have been associated with clinically meaningful weight loss and can be cost-effective. Patients who are at risk for diabetes can be offered technology-assisted DPP and weight loss interventions to lower their risk of incident diabetes. Further research should determine what specific combination of intervention features would be most successful.

Indexed as

TechnologyCell PhoneDiabetes Mellitus, Type 2HumansInternetSmartphoneTelemedicineDiabetes preventionDigital healthMobileTechnologyWeight loss

Identifiers

PMID28942537

What OpenQuestion holds

Textmetadata
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.