Evidence map›Paper›PMID 29802555›Full record

ArticleJournal of inherited metabolic disease2018

Role of continuous glucose monitoring in the management of glycogen storage disorders.

Mrudu Herbert, Surekha Pendyal, Mugdha Rairikar, Carine Halaby, Robert W Benjamin, Priya S Kishnani

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of inherited metabolic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
1.9field-weighted citation impact, top 15% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  15. Glycogen storage diseases.Nature reviews. Disease primers · 2023
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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

6 authors at 2 institutions in 1 country.

Mrudu HerbertDivision of Medical Genetics, Department of Pediatrics, Duke University Medical Center, 905 South LaSalle Street, GSRB1, Durham, NC, 27710, USA.
Surekha PendyalDivision of Medical Genetics, Department of Pediatrics, Duke University Medical Center, 905 South LaSalle Street, GSRB1, Durham, NC, 27710, USA.
Mugdha RairikarDivision of Medical Genetics, Department of Pediatrics, Duke University Medical Center, 905 South LaSalle Street, GSRB1, Durham, NC, 27710, USA.
Carine HalabyDivision of Medical Genetics, Department of Pediatrics, Duke University Medical Center, 905 South LaSalle Street, GSRB1, Durham, NC, 27710, USA.
Robert W BenjaminDivision of Endocrinology, Department of Pediatrics, Duke University School of Medicine, Durham, NC, USA.
Priya S KishnaniDivision of Medical Genetics, Department of Pediatrics, Duke University Medical Center, 905 South LaSalle Street, GSRB1, Durham, NC, 27710, USA. priya.kishnani@duke.edu.
Duke Medical Center · USDuke University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Management of liver glycogen storage diseases (GSDs) primarily involves maintaining normoglycemia through dietary modifications and regular glucose monitoring. Self-monitoring of blood glucose is typically done 3-6 times per day, and may not sufficiently capture periods of asymptomatic hypoglycemia, particularly during sleep. Continuous glucose monitoring systems (CGMS) provide 24-h continuous glucose data and have been used effectively in diabetes mellitus to monitor metabolic control and optimize treatment. This is a relatively new approach in GSDs with only a handful of studies exploring this modality. In this study we used Dexcom CGMS to study the glycemic profile of 14 pediatric and six adult patients with GSD I, III, and IX. A total of 176 days of CGMS data were available. The CGMS was found to be a reliable tool in monitoring glucose levels and trends at all times of the day with good concordance with finger-stick glucose values. This study revealed that in addition to overnight hypoglycemia, CGMS can uncover previously undetected, subclinical, low glucose levels during daytime hours. Additionally, the CGMS detected daytime and overnight hyperglycemia, an often overlooked concern in liver GSDs. The CGMS with concurrent dietary adjustments made by a metabolic dietitian improved metabolic parameters and stabilized blood glucose levels. The CGMS was found to be a safe, effective, and reliable method for optimizing treatment in patients with GSD I, III, and IX.

Indexed as

AdolescentAdultBlood GlucoseChildChild, PreschoolFemaleGlycogen Storage DiseaseHumansHyperglycemiaHypoglycemiaInfantLiverMaleMiddle AgedMonitoring, PhysiologicYoung AdultBlood Glucose

Identifiers

PMID29802555
OpenAlexW2804130304

What Socratic 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 Socratic graph.