Evidence map›Paper›PMID 28979168›Full record

ReviewMedical devices (Auckland, N.Z.)2017

Devices for continuous monitoring of glucose: update in technology.

Ana María Gómez, Diana Cristina Henao Carrillo, Oscar Mauricio Muñoz Velandia

Open access · goldAbstract readReview
In one paragraph

Review in Medical devices (Auckland, N.Z.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Predicting Blood Glucose Levels with Organic Neuromorphic Micro-Networks.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  4. Artificial intelligence perspective in the future of endocrine diseases.Journal of diabetes and metabolic disorders · 2022
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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.

Ana María GómezEndocrinology Unit, Hospital Universitario San Ignacio, Bogotá, Colombia.
Diana Cristina Henao CarrilloEndocrinology Unit, Hospital Universitario San Ignacio, Bogotá, Colombia.
Oscar Mauricio Muñoz VelandiaDepartment of Internal Medicine, Hospital Universitario San Ignacio, Bogotá, Colombia.
Hospital Universitario San Ignacio · COPontificia Universidad Javeriana · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous glucose monitoring (CGM) is a tool that allows constant evaluation of glycemic control, providing data such as the trend and fluctuation of interstitial glucose levels over time. In clinical practice, there are two modalities: the professional or retrospective and the personal or real-time CGM (RT-CGM). The latest-generation sensors are more accurate and sensitive for hypoglycemia, improving adherence to self-monitoring, which has allowed optimizing glycemic control. The development of algorithms that allow the suspension of the infusion of insulin during hypoglycemia gave rise to the integrated therapy or sensor-augmented insulin pump therapy with low glucose suspend, which has proven to be an effective and safe alternative in the treatment of diabetic patients with high risk of hypoglycemia. The objective of this review is to present the evidence of the advantages of RT-CGM, the clinical impact of integrated therapy, and cost-effectiveness of its implementation in the treatment of patients with diabetes mellitus.

Indexed as

CMGdeviceshypoglycemiaSAPTSAPT+LGS

Identifiers

PMID28979168
PMCPMC5602456
OpenAlexW2756109648

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.