Evidence map›Paper›PMID 29542348›Full record

ArticleJournal of diabetes science and technology2018

The Promise and Perils of Wearable Physiological Sensors for Diabetes Management.

Frank L Schwartz, Cynthia R Marling, Razvan C Bunescu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Wearables and the medical revolution.Personalized medicine · 2018
    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

3 authors at 2 institutions in 1 country.

Frank L Schwartz1 Center for Diabetes and Endocrine Diseases, West Virginia University Medicine Camden Clark Medical Center, Parkersburg, WV, USA.
Cynthia R Marling2 The Diabetes Institute, Ohio University, Athens, OH, USA.
Razvan C Bunescu2 The Diabetes Institute, Ohio University, Athens, OH, USA.
Ohio University · USArk Medical Center · US

Funding

Adaptive Prediction of Blood Glucose Levels using Wearable Physiological SensorsR21EB022356 · NIBIB · OHIO UNIVERSITY ATHENS · PI BUNESCU, RAZVAN · 2016 to 2017
$414k
NIBIB NIH HHS R21 EB022356
6 · The paper itself

Abstract

Development of truly useful wearable physiologic monitoring devices for use in diabetes management is still in its infancy. From wearable activity monitors such as fitness trackers and smart watches to contact lenses measuring glucose levels in tears, we are just at the threshold of their coming use in medicine. Ultimately, such devices could help to improve the performance of sense-and-respond insulin pumps, illuminate the impact of physical activity on blood glucose levels, and improve patient safety. This is a summary of our experience attempting to use such devices to enhance continuous glucose monitoring-augmented insulin pump therapy. We discuss the current status and present difficulties with available devices, and review the potential for future use.

Indexed as

Blood Glucose Self-MonitoringDiabetes Mellitus, Type 1Machine LearningWearable Electronic DevicesHumansdiabetes managementfitness trackersphysiological sensorswearables

Identifiers

PMID29542348
PMCPMC6154251
OpenAlexW2792559885

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.