Evidence map›Paper›PMID 27621530›Full record

ArticleClinical diabetes : a publication of the American Diabetes Association2016

Challenges in Diabetes Care: Can Digital Health Help Address Them?

Varun Iyengar, Alexander Wolf, Adam Brown, Kelly Close

Abstract read
In one paragraph

Article in Clinical diabetes : a publication of the American Diabetes Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 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

37 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Trial
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  7. Article
  8. Using digital tools to improve diabetes care in India with continuous glucose monitoring.Therapeutic advances in endocrinology and metabolism · 2025
    Review
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  16. Analysis of "Journal of diabetes science and technology · 2023
    Article
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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.

Varun IyengarClose Concerns, Inc., San Francisco, CA.
Alexander WolfThe diaTribe Foundation, San Francisco, CA.
Adam BrownClose Concerns, Inc., San Francisco, CA; The diaTribe Foundation, San Francisco, CA.
Kelly CloseClose Concerns, Inc., San Francisco, CA; The diaTribe Foundation, San Francisco, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Brief There is great enthusiasm for the potential of digital health solutions in medicine and diabetes to address key care challenges: patient and provider burden, lack of data to inform therapeutic decision-making, poor access to care, and costs. However, the field is still in its nascent days; many patients and providers do not currently engage with digital health tools, and for those who do, the burden is still often high. Over time, digital health has excellent potential to collect data more seamlessly, make collected data more useful, and drive better outcomes at lower costs in less time. But there is still much to prove. This review offers key background information on the current state of digital health in diabetes, six of the most promising digital health technologies and services, and the challenges that remain.

Identifiers

PMID27621530
PMCPMC5019009

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.