Evidence map›Paper›PMID 36465630›Full record

ArticleFrontiers in endocrinology2022

Albuminuria, glycemic variability and effect of flash glucose monitoring based decision making on short term glycemic variability in Indian type 2 diabetes patients: Indi-GlyVar study.

Deepak Nathiya, Mahaveer Singh, Supriya Suman, Hemant Bareth, Nikita Pal, Arjav Jain, Balvir S Tomar

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 2 countries.

Deepak NathiyaDepartment of Pharmacy Practice, Institute of Pharmacy, Nims University, Rajasthan, Jaipur, India.
Mahaveer SinghDepartment of Endocrinology, National Institute of Medical Sciences, Nims University Rajasthan, Jaipur, India.
Supriya SumanDepartment of Pharmacy Practice, Institute of Pharmacy, Nims University, Rajasthan, Jaipur, India.
Hemant BarethDepartment of Pharmacy Practice, Institute of Pharmacy, Nims University, Rajasthan, Jaipur, India.
Nikita PalDepartment of Pharmacy Practice, Institute of Pharmacy, Nims University, Rajasthan, Jaipur, India.
Arjav JainDepartment of Pharmacy Practice, Institute of Pharmacy, Nims University, Rajasthan, Jaipur, India.
Balvir S TomarDepartment of Clinical Studies, Fourth Hospital of Yulin (Xingyuan), Yulin, Shaanxi, China.
NIMS University · INYulin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim and scope: Glycemic variability (GV) denotes the fluctuations in the glucose values around the baseline. High glycemic variability is associated with a higher risk of diabetes-associated complications. In this study, we sought to determine the impact of therapeutic interventions based on flash glucose monitoring on rapid, short-term glycemic variability. We also studied the prevalent albuminuria in diabetic kidney disease and its effect on glycemic variability. Methods: In a 14-day, single-center, prospective intervention study, we measured the GV indices at baseline (days 1-4) and ten days after ambulatory glucose profile-based intervention using flash glucose monitoring (Abbott Libre Pro, Abbott Diabetes Care, Alameda, California, USA) in patients with type 2 diabetes. An EasyGV calculator was used to estimate the flash glucose monitoring (FGM)-derived measures of GV. The primary outcome was to assess the impact of FGMS-based therapeutic interventions on glycemic variability markers: SD, mean amplitude of glycemic excursion [MAGE], continuous overall net glycemic action [CONGA], absolute means of daily differences [MODD], Results: Fifty-eight T2DM patients (63.8%, males) with a mean age of 51.5 ± 11.9 years were studied. When compared with baseline (days 1-4), on day 14, there was a significant improvement in mean sensor glucose (mg/dl) median (IQR) [155 (116-247) Conclusion: In type 2 diabetes, flash glucose monitoring-guided therapeutic interventions can reduce glycemic variability in a brief span (10 days) of time. Also, albuminuria in type 2 diabetes is associated with high glycemic variability. Reduced diabetes complications may ultimately result from this reduced glycemic variability.

Indexed as

Diabetes Mellitus, Type 2HyperglycemiaAdultAlbuminsAlbuminuriaBlood GlucoseBlood Glucose Self-MonitoringDecision MakingFemaleGlucoseHumansMaleMiddle AgedPregnancyProspective StudiesAlbuminsBlood GlucoseGlucosealbuminuriadiabetic kidney diseaseFGMSglycemic variabilitytype 2 diabetes

Identifiers

PMID36465630
PMCPMC9715732
OpenAlexW4309379929

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.