Evidence map›Paper›PMID 21610126›Full record

ArticleDiabetes care2011

Impact of glycemic and blood pressure variability on surrogate measures of cardiovascular outcomes in type 2 diabetic patients.

Alessandra Di Flaviani, Fabiana Picconi, Paola Di Stefano, Ilaria Giordani, Ilaria Malandrucco, Paola Maggio, Paola Palazzo, Fabrizio Sgreccia, Carlo Peraldo, Fabrizio Farina and 2 more

3 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Diabetes care, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 87 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% 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.

NCT02925559 phase4completedstarted 2016, after this paper: background citation

Effect of Anti-diabetic Drugs on Glycemic Variability. A Comparison Between Gliclazide MR (Modified Release) and Dapagliflozin on Glycemic Variability Measured by Continuous Glucose Monitoring (CGM) in Patients With Uncontrolled Type 2 Diabetes

Ran2016Enrolled135Registered outcomes9Posted comparisons0ConditionsDiabetes Mellitus, Type 2Armsdapagliflozin, Gliclazide MR
Open the trial in the graph
NCT04920058 nacompletednot on this mapstarted 2021, after this paper: background citation

Improving Cognitive-Behavioral and Cardio-Metabolic Health Through Continuous Glucose Monitoring (CGM)

TypeinterventionalSponsorUniversity of South FloridaRan2021 to 2022Enrolled66ConditionsMetabolic SyndromeArmsContinuous Glucose Monitor, <Active Comparator?>
NCT05121844 naactive not recruitingnot on this mapstarted 2021, after this paper: background citation

Use of Continuous Glucose Monitoring in Non-Diabetic Population to Compliment Signos Mobile Health Platform: Comprehensive Weight Optimization Program and Customized Lifestyle Modifications

TypeinterventionalSponsorSignos IncRan2021 to 2027Enrolled31,187ConditionsWeight Loss, Metabolic Syndrome, Pre-diabetes, Central ObesityArmsContinuous Glucose Monitor Device
3 · Its place in the literature

Who cites it

87 citing papers in PubMed, 1 synthesis or guideline pooled it, 183 citations in OpenAlex.

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27 more citing papers are in PubMed but not listed here.

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

12 authors at 3 institutions in 1 country.

Alessandra Di FlavianiEndocrinology, Diabetes and Metabolism, S. Giovanni Calibita Fatebenefratelli Hospital, University of Rome Tor Vergata, Rome, Italy.
Fabiana Picconi
Paola Di Stefano
Ilaria Giordani
Ilaria Malandrucco
Paola Maggio
Paola Palazzo
Fabrizio Sgreccia
Carlo Peraldo
Fabrizio Farina
Gaetano Frajese
Simona Frontoni
Fatebenefratelli Hospital · ITUniversity of Rome Tor Vergata · ITMedtronic (Italy) · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe effect of glycemic variability (GV) on cardiovascular risk has not been fully clarified in type 2 diabetes. We evaluated the effect of GV, blood pressure (BP), and oxidative stress on intima-media thickness (IMT), left ventricular mass index (LVMI), flow-mediated dilation (FMD), and sympathovagal balance (low frequency [LF]/high frequency [HF] ratio) in 26 type 2 diabetic patients (diabetes duration 4.41±4.81 years; HbA1c 6.70±1.25%) receiving diet and/or metformin treatment, with no hypotensive treatment or complications. RESEARCH DESIGN AND

methodsContinuous glucose monitoring (CGM) data were used to calculate mean amplitude of glycemic excursion (MAGE), continuous overall net glycemic action (CONGA)-2, mean blood glucose (MBG), mean postprandial glucose excursion (MPPGE), and incremental area under the curve (IAUC). Blood pressure (BP), circadian rhythm, and urinary 15-F2t-isoprostane (8-iso-prostaglandin F2α [PGF2α]) were also evaluated. Subjects were divided into dipper (D) and nondipper (ND) groups according to ΔBP.

resultsIMT and LVMI were increased in ND versus D (0.77±0.08 vs. 0.68±0.13 [P=0.04] and 67±14 vs. 55±11 [P=0.03], respectively). MBG, MAGE, and IAUC were significantly associated with LF/HF ratio at night (r=0.50, P=0.01; r=0.40, P=0.04; r=0.41, P=0.04, respectively), MPPGE was negatively associated with FMD (r=-0.45, P=0.02), and CONGA-2 was positively associated with LVMI (r=0.55, P=0.006). The Δsystolic BP was negatively associated with IMT (r=-0.43, P=0.03) and with LVMI (r=-0.52, P=0.01). Urinary 8-iso-PGF2α was positively associated with LVMI (r=0.68 P<0.001).

conclusionsAn impaired GV and BP variability is associated with endothelial and cardiovascular damage in short-term diabetic patients with optimal metabolic control. Oxidative stress is the only independent predictor of increased LV mass and correlates with glucose and BP variability.

Indexed as

AgedBlood GlucoseBlood PressureCardiovascular DiseasesCircadian RhythmDiabetes Mellitus, Type 2DinoprostHeart VentriclesHumansMiddle AgedTreatment OutcomeTunica Intima8-epi-prostaglandin F2alphaBlood GlucoseDinoprost

Identifiers

PMID21610126
PMCPMC3120198
OpenAlexW2159086743

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.