Evidence mapPaperPMID 31859911Full record

Trial reportBrazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica2020

Use of flash glucose-sensing technology in patients with type 2 diabetes treated with liraglutide combined with CSII: a pilot study.

Ming-Yan Yao, Li-Qin Li, Jian-Xia Ma, Peng Xue, Yu-Kun Li

Open access · goldFull text readRandomized Controlled Trial
In one paragraph

Trial report in Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
0.5field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. 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

5 authors at 1 institution in 1 country.

Ming-Yan YaoDepartment of Endocrinology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.ORCID http://orcid.org/0000-0002-0392-2495
Li-Qin LiDepartment of Endocrinology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.ORCID http://orcid.org/0000-0003-4655-9283
Jian-Xia MaDepartment of Endocrinology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.ORCID http://orcid.org/0000-0002-2806-8424
Peng XueDepartment of Endocrinology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.ORCID http://orcid.org/0000-0003-2449-2815
Yu-Kun LiDepartment of Endocrinology, The Third Hospital of Hebei Medical University, Shijiazhuang, China.ORCID http://orcid.org/0000-0002-6461-7662
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycemic variability (GV) may be linked to the development of diabetic complications by inducing inflammation, oxidative stress, and endothelial dysfunction. Flash glucose monitoring (FGM) provides a novel method of continuously monitoring interstitial glucose levels for up to 14 days. This study randomly assigned poorly controlled type 2 diabetes mellitus patients treated with metformin and multiple daily injections of insulin (n=60) to either continuous subcutaneous insulin infusion (CSII) treatment or CSII in combination with liraglutide (CSII+Lira) treatment for 14 days during hospitalization. GV was assessed using a FGM system; weight and cardiometabolic biomarkers were also evaluated. The coefficient of variation was significantly reduced in the CSII+Lira group (P<0.001), while no significant change was observed in the CSII group. The changes differed significantly between the two groups in mean amplitude of glycemic excursions (P=0.004), standard deviation (P=0.006), and the percentage of time in the target range (4-10 mmol/L, P=0.005 and >10 mmol/L, P=0.028). The changes in mean of daily differences, interquartile range, and percentage of time in hypoglycemia (<3.3 mmol/L) and hyperglycemia (>13.9 mmol/L) identified by FGM showed no difference. Treatment with liraglutide increased serum adiponectin [33.5 (3.5, 47.7) pg/mL, P=0.003] and heme oxygenase-1 levels [0.4 (-0.0, 1.8) ng/mL, P=0.001] and reduced serum leptin levels [-2.8 (3.9) pg/mL, P<0.001]. Adding the glucagon-like peptide-1 analog liraglutide improved GV, weight, and some cardiometabolic risk markers. The FGM system is, therefore, shown to be a novel and useful method for glucose monitoring.

Indexed as

Insulin Infusion SystemsAdultBlood Glucose Self-MonitoringDiabetes Mellitus, Type 2FemaleHumansHypoglycemic AgentsInsulinLiraglutideMaleMiddle AgedPilot ProjectsHypoglycemic AgentsInsulinLiraglutide

Identifiers

PMID31859911
PMCPMC6915907
OpenAlexW2994638108

What Socratic holds

Textfull text, public
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 Socratic graph.