Evidence map›Paper›PMID 34031003›Full record

ArticlePrimary care diabetes2021

Blood glucose monitoring (BGM) still matters for many: Associations of BGM frequency and glycemic control in youth with type 1 diabetes.

Rebecca Ortiz La Banca, Yasaman Pirahanchi, Lisa K Volkening, Zijing Guo, Julia Cartaya, Lori M Laffel

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Primary care diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Guideline
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.

Rebecca Ortiz La BancaSection on Clinical, Behavioral, and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Yasaman PirahanchiSection on Clinical, Behavioral, and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Lisa K VolkeningSection on Clinical, Behavioral, and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Zijing GuoSection on Clinical, Behavioral, and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Julia CartayaSection on Clinical, Behavioral, and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA.
Lori M LaffelSection on Clinical, Behavioral, and Outcomes Research, Joslin Diabetes Center, Harvard Medical School, Boston, MA, USA. Electronic address: lori.laffel@joslin.harvard.edu.

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI JEAN E. SCHAFFER · 1986 to 2026
$50.5M
Optimizing CGM Use and Metabolic Outcomes in Youth with Type 1 DiabetesR01DK089349 · NIDDK · JOSLIN DIABETES CENTER · PI LAFFEL, LORI M · 2010 to 2013
$2.8M
Optimizing Self-Management Adherence and Glycemic Control in Older Teens with T1DR01DK095273 · NIDDK · JOSLIN DIABETES CENTER · PI ANDERSON, BARBARA JANE, LAFFEL, LORI M · 2012 to 2015
$2.7M
NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK089349NIDDK NIH HHS R01 DK095273
6 · The paper itself

Abstract

aimsThis study aimed to compare three approaches of blood glucose monitoring (BGM) frequency attainment and to examine their associations with glycemic control in youth with type 1 diabetes (T1D).

methodsCross-sectional data was derived from the baseline assessment in three clinical trials. Clinical and demographic characteristics of youth with T1D was obtained by chart review. BGM frequency was assessed by parent-youth interview, chart review, and meter downloads. To examine the relationship between A1c and frequency of BGM we performed analysis of variance.

resultsIn youth with T1D (N = 385, 50% female, age 13.6 ± 2.5 years, 74% pump users), the 3 methods of assessing BGM frequency were significantly correlated. Frequency by self-report (6.4 ± 2.3 times/day) was significantly higher than both meter download (5.6 ± 2.4 times/day, p < 0.0001) and clinician report (5.7 ± 2.4 times/day, p < 0.0001). For all methods, more frequent BGM was associated with lower A1c and lower mean glucose (p < 0.0001). For each additional daily blood glucose check, there was a 0.2% decrease in A1c (p < 0.0001).

conclusionBGM remains a potent predictor of glycemic control, warranting continued targeting in clinical efforts to improve glycemic management in youth with T1D.

Indexed as

Diabetes Mellitus, Type 1AdolescentBlood GlucoseBlood Glucose Self-MonitoringChildCross-Sectional StudiesFemaleGlycated HemoglobinGlycemic ControlHumansMaleBlood GlucoseGlycated HemoglobinA1cBlood glucose monitoringGlycemic controlPediatricsSelf-careType 1 diabetes

Identifiers

PMID34031003
PMCPMC8458220

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.