Evidence mapPaperPMID 28476567Full record

Trial reportJournal of diabetes and its complications2017

Dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes.

Victor W Zhong, Jamie L Crandell, Christina M Shay, Penny Gordon-Larsen, Stephen R Cole, Juhaeri Juhaeri, Anna R Kahkoska, David M Maahs, Michael Seid, Gregory P Forlenza and 1 more

Registry-linked trialOpen access · greenAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of diabetes and its complications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01286350 (FL3X), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 22% 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.

NCT01286350 nacompletednot on this map

FL3X: An Adaptive Intervention to Improve Outcomes for Youth With Type 1 Diabetes

TypeinterventionalSponsorUniversity of North Carolina, Chapel HillRan2014 to 2018Enrolled258ConditionsType 1 DiabetesArmsFL3X: Flexible Lifestyle Empowering Change
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
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  8. Review
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  11. A machine-learning approach to predict postprandial hypoglycemia.BMC medical informatics and decision making · 2019
    Article
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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

11 authors at 6 institutions in 1 country.

Victor W ZhongDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA.
Jamie L CrandellSchool of Nursing and Department of Biostatistics, University of North Carolina, Chapel Hill, NC, USA.
Christina M ShayCenter for Health Metrics and Evaluation, the American Heart Association, Dallas, TX, USA.
Penny Gordon-LarsenDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Stephen R ColeDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
Juhaeri JuhaeriGlobal Pharmacovigilance and Epidemiology, Sanofi, Bridgewater, NJ, USA.
Anna R KahkoskaDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA.
David M MaahsLucile Packard Children's Hospital and Stanford University Medical Center, Stanford University, Palo Alto, CA, USA.
Michael SeidDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Gregory P ForlenzaBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO, USA.
Elizabeth J Mayer-DavisDepartment of Nutrition, University of North Carolina, Chapel Hill, NC, USA; Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA. Electronic address: mayerdav@email.unc.edu.
University of North Carolina at Chapel Hill · USAmerican Heart Association · USCincinnati Children's Hospital Medical Center · USLucile Packard Children's Hospital · USSanofi (United States) · USUniversity of Colorado Anschutz Medical Campus · US

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · UNIV OF NORTH CAROLINA CHAPEL HILL · 1999 to 2025
$5.9M
RENAL EPIDEMIOLOGY TRAINING PROGRAMT32DK007750 · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · 1999 to 2005
$772k
Carolina Population CenterP2CHD050924 · UNIV OF NORTH CAROLINA CHAPEL HILL · 2025 to 2025
$590k
NICHD NIH HHS P2C HD050924NIDDK NIH HHS P30 DK056350NIDDK NIH HHS T32 DK007750NIDDK NIH HHS UC4 DK101132
6 · The paper itself

Abstract

aimsTo determine the association between dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes.

methodsType 1 adolescents from a randomized trial wore a blinded continuous glucose monitoring (CGM) system at baseline for one week in free-living conditions. Dietary intake was calculated as the average from two 24-h dietary recalls. Non-severe hypoglycemia was defined as having blood glucose <70mg/dL for ≥10min but not requiring external assistance, categorized as daytime and nocturnal (11PM-7AM). Data were analyzed using logistic regression models.

resultsAmong 98 participants with 14,277h of CGM data, 70 had daytime hypoglycemia, 66 had nocturnal hypoglycemia, 55 had both, and 17 had neither. Soluble fiber and protein intake were positively associated with both daytime and nocturnal hypoglycemia. Glycemic index, monounsaturated fat, and polyunsaturated fat were negatively associated with daytime hypoglycemia only. Adjusting for total daily insulin dose per kilogram eliminated all associations.

conclusionsDietary intake was differentially associated with daytime and nocturnal hypoglycemia. Over 80% of type 1 adolescents had hypoglycemia in a week, which may be attributed to the mismatch between optimal insulin dose needed for each meal and actually delivered insulin dose without considering quality of carbohydrate and nutrients beyond carbohydrate. CLINICAL

trial registrationClinicalTrials.gov identifier: NCT01286350.

Indexed as

Adolescent Nutritional Physiological PhenomenaDiet, DiabeticPatient ComplianceActivities of Daily LivingAdolescentBlood GlucoseColoradoCombined Modality TherapyDiabetes Mellitus, Type 1ExerciseFemaleHumansHyperglycemiaHypoglycemiaHypoglycemic AgentsInsulinBlood GlucoseHypoglycemic AgentsInsulinContinuous glucose monitoringDietary intakeHypoglycemiaNutritionType 1 diabetes

Identifiers

PMID28476567
PMCPMC5526710
OpenAlexW2605695002

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.