Evidence map›Paper›PMID 32830521›Full record

ArticleJournal of diabetes science and technology2022

Building a Data-Driven Multiple Daily Insulin Therapy Model Using Smart Insulin Pens.

Rocio Harbison, Michele Hecht, Janice MacLeod

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
  4. Article
  5. Connected Insulin Pens and Pen Caps: Expanding Diabetes Technology Access and Adoption.Diabetes spectrum : a publication of the American Diabetes Association · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Pediatric Smart Insulin Pen Use: The Next Best Thing.Journal of diabetes science and technology · 2022
    Article
  11. Article
  12. 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

3 authors.

Rocio HarbisonAdvanced Endocrinology and Diabetes Clinic, Houston, TX, USA.
Michele HechtAdvanced Endocrinology and Diabetes Clinic, Houston, TX, USA.
Janice MacLeodCompanion Medical, San Diego, CA, USA.ORCID 0000-0001-8689-4938

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A growing suite of connected devices including Bluetooth or cellular-enabled glucose monitoring devices, smart insulin pens, pumps, fitness trackers, blood pressure, and heart rate and weight monitors present a golden opportunity to build a data-driven clinical practice model including remote monitoring capability and virtual care. This paper will discuss this approach using diabetes as a case study and smart insulin pens as a use case. As payment and practice approaches evolve, there is growing interest from both patients and their health care teams in virtual care made possible by remote monitoring capability. Here, we will define the category of smart insulin pens, describe the hallmarks of a data-driven practice model, and delineate the steps to take to incorporate remote monitoring capability with smart insulin pens into diabetes care for injection therapy patients.

Indexed as

Diabetes Mellitus, Type 1InsulinBlood GlucoseBlood Glucose Self-MonitoringHumansInsulin Infusion SystemsBlood GlucoseInsulinconnected healthdata-drivendigital healthmultiple daily insulin therapynumeracysmart insulin pentherapeutic inertiavalue-based care

Identifiers

PMID32830521
PMCPMC9294568

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.