Evidence map›Paper›PMID 38441904›Full record

ArticleDiabetes technology & therapeutics2024

Accuracy of a Real-Time Continuous Glucose Monitor in Pediatric Diabetic Ketoacidosis Admissions.

Lauren A Waterman, Laura Pyle, Gregory P Forlenza, Lindsey Towers, Angela J Karami, Emily Jost, Cari Berget, R Paul Wadwa, Erin C Cobry

Open access · greenAbstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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  3. Review
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  7. Observational
  8. Review
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

9 authors at 2 institutions in 1 country.

Lauren A WatermanUniversity of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA.ORCID 0000-0001-7712-7067
Laura PyleUniversity of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA.
Gregory P ForlenzaUniversity of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA.ORCID 0000-0003-3607-9788
Lindsey TowersUniversity of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA.
Angela J KaramiUniversity of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA.
Emily JostUniversity of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA.
Cari BergetUniversity of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA.
R Paul WadwaUniversity of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA.ORCID 0000-0002-4139-2122
Erin C CobryUniversity of Colorado Anschutz Medical Campus, Barbara Davis Center for Diabetes, Aurora, Colorado, USA.ORCID 0000-0002-8494-1814
University of Colorado Anschutz Medical Campus · USColorado School of Public Health · US

Funding

Training Program in Diabetes ResearchT32DK063687 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Andrea Steck · 2002 to 2026
$5.2M
NIDDK NIH HHS T32 DK063687
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringCOVID-19Diabetes Mellitus, Type 1Diabetic KetoacidosisInsulinAdolescentChildFemaleHospitalizationHumansHypoglycemic AgentsMaleRetrospective StudiesBlood GlucoseHypoglycemic AgentsInsulinCGM accuracyContinuous glucose monitorsDiabetic ketoacidosisPediatricsType 1 diabetes

Identifiers

PMID38441904
PMCPMC11535449
OpenAlexW4392454697

What OpenQuestion 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 OpenQuestion graph.