Evidence map›Paper›PMID 34184589›Full record

ReviewAnnals of medicine2021

Leveraging advances in diabetes technologies in primary care: a narrative review.

Bruce Bode, Aaron King, David Russell-Jones, Liana K Billings

Open access · goldAbstract readReview
In one paragraph

Review in Annals of medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Expert Opinion on Optimizing Suboptimal Basal Insulin Titration in India: Addressing Challenges and Leveraging Digital Solutions.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
  3. Article
  4. Article
  5. Assessing the iLet Bionic Pancreas Deployed in Primary Care and via Telehealth: A Randomized Clinical Trial.Clinical diabetes : a publication of the American Diabetes Association · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Patient Perspectives on the Benefits and Challenges of Diabetes and Digital Technology.Clinical diabetes : a publication of the American Diabetes Association · 2024
    Article
  10. Demographic Variables Associated With Diabetes Technology Awareness or Use in Adults With Type 2 Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2024
    Article
  11. Article
  12. 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 4 institutions in 2 countries.

Bruce BodeAtlanta Diabetes Associates, Atlanta, GA, USA.
Aaron KingHealthTexas at Stone Oak, San Antonio, TX, USA.
David Russell-JonesRoyal Surrey County Hospital, Guildford, UK.
Liana K BillingsNorthShore University HealthSystem/University of Chicago Pritzker School of Medicine, Skokie, IL, USA.
Atlanta Diabetes Associates · USHealthONE · USRoyal Surrey County Hospital · GBUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary care providers (PCPs) play an important role in providing medical care for patients with type 2 diabetes. Advancements in diabetes technologies can assist PCPs in providing personalised care that addresses each patient's individual needs. Diabetes technologies fall into two major categories: devices for glycaemic self-monitoring and insulin delivery systems. Monitoring technologies encompass self-measured blood glucose (SMBG), where blood glucose is intermittently measured by a finger prick blood sample, and continuous glucose monitoring (CGM) devices, which use an interstitial sensor and are capable of giving real-time information. Studies show people using real-time CGM have better glucose control compared to SMBG. CGM allows for new parameters including time in range (the time spent within the desired target glucose range), which is an increasingly relevant real-time metric of glycaemic control. Insulin pens have increased the ease of administration of insulin and connected pens that can calculate and capture data on dosing are becoming available. There are a number of websites, software programs, and applications that can help PCPs and patients to integrate diabetes technology into their diabetes management schedules. In this article, we summarise these technologies and provide practical information to inform PCPs about utility in their clinical practice. The guiding principle is that use of technology should be individualised based on a patient's needs, desires, and availability of devices. Diabetes technology can help patients improve their clinical outcomes and achieve the quality of life they desire by decreasing disease burden.KEY MESSAGESIt is important to understand the role that diabetes technologies can play in primary care to help deliver high-quality care, taking into account patient and community resources. Diabetes technologies fall into two major categories: devices for glycaemic self-monitoring and insulin delivery systems. Modern self-measured blood glucose devices are simple to use and can help guide decision making for self-management plans to improve clinical outcomes, but cannot provide "live" data and may under- or overestimate blood glucose; patients' monitoring technique and compliance should be reviewed regularly. Importantly, before a patient is provided with monitoring technology, they must receive suitably structured education in its use and interpretation.Continuous glucose monitoring (CGM) is now standard of care for people with type 1 diabetes and people with type 2 diabetes on meal-time (prandial) insulin. Real-time CGM can tell both the patient and the healthcare provider when glucose is in the normal range, and when they are experiencing hyper- or hypoglycaemia. Using CGM data, changes in lifestyle, eating habits, and medications, including insulin, can help the patient to stay in a normal glycaemic range (70-180 mg/dL). Real-time CGM allows for creation of an ambulatory glucose profile and monitoring of time in range (the time spent within target blood glucose of 70-180 mg/dL), which ideally should be at least 70%; avoiding time above range (>180 mg/dL) is associated with reduced diabetes complications and avoiding time below range (<70 mg/dL) will prevent hypoglycaemia. Insulin pens are simpler to use than syringes, and connected pens capture information on insulin dose and injection timing.There are a number of websites, software programs and applications that can help primary care providers and patients to integrate diabetes technology into their diabetes management schedules. The guiding principle is that use of technology should be individualised based on a patient's needs, desires, skill level, and availability of devices.

Indexed as

Diabetes Mellitus, Type 2HypoglycemiaBlood GlucoseBlood Glucose Self-MonitoringCommunity ResourcesHumansHypoglycemic AgentsInsulinPrimary Health CareQuality of LifeTechnologyBlood GlucoseHypoglycemic AgentsInsulinContinuous glucose monitoringdiabetes technologiesinsulin delivery systemsself-measured blood glucosetime in range

Identifiers

PMID34184589
PMCPMC8245065
OpenAlexW3176588745

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.