Evidence map›Paper›PMID 34218715›Full record

ArticleJournal of diabetes science and technology2022

The Accuracy of Continuous Glucose Monitoring in the Medical Intensive Care Unit.

Wannita Tingsarat, Patinut Buranasupkajorn, Weerapan Khovidhunkit, Patchaya Boonchaya-Anant, Nitchakarn Laichuthai

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2022. 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
3.1field-weighted citation impact, top 7% 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, 32 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Accuracy of continuous glucose monitoring in critically ill patients.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025
    Article
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  8. Article
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  10. Article
  11. Review
  12. Continuous Glucose Monitoring in the Intensive Care Unit.Journal of diabetes science and technology · 2023
    Article
  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

5 authors at 2 institutions in 1 country.

Wannita TingsaratRayong Hospital, Tha Pradu, Rayong, Thailand.
Patinut BuranasupkajornDepartment of Medicine, Division of Endocrinology and Metabolism, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Weerapan KhovidhunkitDepartment of Medicine, Division of Endocrinology and Metabolism, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Patchaya Boonchaya-AnantDepartment of Medicine, Division of Endocrinology and Metabolism, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0003-3502-905X
Nitchakarn LaichuthaiDepartment of Medicine, Division of Endocrinology and Metabolism, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.ORCID 0000-0002-4801-9697
Thai Red Cross Society · THChulalongkorn University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the accuracy of continuous glucose monitoring (CGM) in medical intensive care unit (MICU) patients.

methodsA Medtronic Enlite

resultsUsing CBG as a reference, MARD was 6.6%. Overall, 99.7% of the CGM readings were within the "no risk" zone. No significant differences in accuracy were seen within vasopressor subgroups. Using PG as the reference, MARD was 8.8%. The surveillance error grid analysis showed 95.2% of glucose readings were within the "no risk" zone. There were no device-related adverse events.

conclusionThe CGM sensor showed acceptable accuracy in MICU patients, regardless of vasopressor use.

Indexed as

Blood GlucoseBlood Glucose Self-MonitoringCritical IllnessGlucoseHumansIntensive Care UnitsMonitoring, PhysiologicReproducibility of ResultsBlood GlucoseGlucoseaccuracycontinuous glucose monitoringcritical carecritically ill patients

Identifiers

PMID34218715
PMCPMC9631519
OpenAlexW3181106556

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.