Evidence map›Paper›PMID 25888142›Full record

ArticleItalian journal of pediatrics2015

Effects of pH, lactate, hematocrit and potassium level on the accuracy of continuous glucose monitoring (CGM) in pediatric intensive care unit.

Gábor Marics, Levente Koncz, Katalin Eitler, Barbara Vatai, Boglárka Szénási, David Zakariás, Borbála Mikos, Anna Körner, Péter Tóth-Heyn

Open access · goldAbstract read
In one paragraph

Article in Italian journal of pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Guideline
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Observational
  10. Evaluation of continuous flash glucose monitoring in a pediatric ICU setting.Journal of clinical monitoring and computing · 2020
    Article
  11. Article
  12. Monitoring of Pediatric Type 1 Diabetes.Frontiers in endocrinology · 2020
    Review
  13. 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

9 authors at 1 institution in 1 country.

Gábor MaricsFirst Department of Pediatrics, Semmelweis University, Budapest, Hungary. marics.gabor@gmail.com.
Levente KonczBethesda Children's Hospital, Budapest, Hungary. matyasszajko@gmail.com.
Katalin EitlerFirst Department of Pediatrics, Semmelweis University, Budapest, Hungary. katalin.eitler@gmail.com.
Barbara VataiFirst Department of Pediatrics, Semmelweis University, Budapest, Hungary. vataibarbara@hotmail.com.
Boglárka SzénásiFirst Department of Pediatrics, Semmelweis University, Budapest, Hungary. bogis.zenasi@gmail.com.
David ZakariásFirst Department of Pediatrics, Semmelweis University, Budapest, Hungary. david.zakarias@yahoo.com.
Borbála MikosBethesda Children's Hospital, Budapest, Hungary. borbala.mikos@gmail.com.
Anna KörnerFirst Department of Pediatrics, Semmelweis University, Budapest, Hungary. korner.anna@med.semmelweis-univ.hu.
Péter Tóth-HeynFirst Department of Pediatrics, Semmelweis University, Budapest, Hungary. toth-heyn.peter@med.semmelweis-univ.hu.
Semmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContinuous glucose monitoring (CGM) originally was developed for diabetic patients and it may be a useful tool for monitoring glucose changes in pediatric intensive care unit (PICU). Its use is, however, limited by the lack of sufficient data on its reliability at insufficient peripheral perfusion. We aimed to correlate the accuracy of CGM with laboratory markers relevant to disturbed tissue perfusion. PATIENTS AND

methodsIn 38 pediatric patients (age range, 0-18 years) requiring intensive care we tested the effect of pH, lactate, hematocrit and serum potassium on the difference between CGM and meter glucose measurements. Guardian® (Medtronic®) CGM results were compared to GEM 3000 (Instrumentation laboratory®) and point-of-care measurements. The clinical accuracy of CGM was evaluated by Clarke Error Grid -, Bland-Altman analysis and Pearson's correlation. We used Friedman test for statistical analysis (statistical significance was established as a p < 0.05).

resultsCGM values exhibited a considerable variability without any correlation with the examined laboratory parameters. Clarke, Bland-Altman analysis and Pearson's correlation coefficient demonstrated a good clinical accuracy of CGM (zone A and B = 96%; the mean difference between reference and CGM glucose was 1,3 mg/dL, 48 from the 780 calibration pairs overrunning the 2 standard deviation; Pearson's correlation coefficient: 0.83).

conclusionsThe accuracy of CGM measurements is independent of laboratory parameters relevant to tissue hypoperfusion. CGM may prove a reliable tool for continuous monitoring of glucose changes in PICUs, not much influenced by tissue perfusion, but still not appropriate for being the base for clinical decisions.

Indexed as

AdolescentBlood GlucoseChildChild, PreschoolCritical CareCritical IllnessFemaleHematocritHumansHydrogen-Ion ConcentrationInfantIntensive Care Units, PediatricLactic AcidMaleMonitoring, PhysiologicPoint-of-Care SystemsBlood GlucoseLactic AcidPotassium

Identifiers

PMID25888142
PMCPMC4372234
OpenAlexW2102855232

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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.