Evidence map›Paper›PMID 26561080›Full record

Observational studyJournal of clinical monitoring and computing2017

Continuous glucose monitoring system in the operating room and intensive care unit: any difference according to measurement sites?

In-Kyung Song, Ji-Hyun Lee, Joo-Eun Kang, Yang-Hyo Park, Hee-Soo Kim, Jin-Tae Kim

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of clinical monitoring and computing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Continuous Glucose Monitoring in the Hospital.Endocrinology and metabolism (Seoul, Korea) · 2021
    Review
  10. Observational
  11. Article
  12. 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

6 authors.

In-Kyung SongDepartment of Anesthesiology and Pain Medicine, Seoul National University Hospital, #101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea.
Ji-Hyun LeeDepartment of Anesthesiology and Pain Medicine, Seoul National University Hospital, #101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea.
Joo-Eun KangDepartment of Anesthesiology and Pain Medicine, Seoul National University Hospital, #101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea.
Yang-Hyo ParkDepartment of Anesthesiology and Pain Medicine, Seoul National University Hospital, #101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea.
Hee-Soo KimDepartment of Anesthesiology and Pain Medicine, Seoul National University Hospital, #101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea.
Jin-Tae KimDepartment of Anesthesiology and Pain Medicine, Seoul National University Hospital, #101 Daehak-ro, Jongno-gu, Seoul, 110-744, Republic of Korea. jintae73@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the benefit of glucose control in the perioperative period, we evaluated the accuracy and performance of the continuous glucose monitoring system (CGMS) depending on different measurement sites in the operating room (OR) and in the intensive care unit (ICU). Patients over 18 years of age scheduled for elective surgery and ICU admission were enrolled prospectively. Two CGMS sensors were inserted into the subcutaneous tissue of the proximal lateral thigh and the lateral abdomen. The rate of successful measurements from thigh and abdomen in the OR and in the ICU were calculated separately. Each CGMS values were compared with the time-matched arterial blood glucose measurements. CGMS values from both measurement sites were also compared. A total of 22 patients undergoing cardiac surgeries were studied. The rate of successful measurements was higher in the ICU (73.2 %) than in the OR (66.0 %) (P = 0.01); however, that from thigh (72.9 %) and from abdomen (58.7 %) showed statistically significant difference only in the OR (P = 0.04). The Pearson correlation coefficient of thigh and abdomen versus arterial values was 0.67 and 0.60, respectively (P < 0.001). In Clarke error grid analysis, 94.6 % (89.3 % in the OR and 96.1 % in the ICU) of values from thigh fell into clinically acceptable zones compared to 93.7 % (89.0 % in the OR and 95.4 % in the ICU) from abdomen. There were no statistically significant differences in the accuracy according to measurement sites. The CGMS showed high measurement failure rate, especially in the OR. In the OR, the rate of successful measurement was higher from thigh than from abdomen. The CGMS showed low accuracy compared to arterial reference values. Nevertheless, there was no difference in the accuracy of the CGMS between two measurement sites. Perioperative performance of the CGMS still needs to be improved considering relatively low successful measurement rates.

Indexed as

AdultAlgorithmsBlood GlucoseCalibrationCardiac Surgical ProceduresCritical CareDiabetes Mellitus, Type 2FemaleGas Chromatography-Mass SpectrometryHumansHyperglycemiaHypoglycemiaIntensive Care UnitsMaleMonitoring, IntraoperativeMonitoring, PhysiologicBlood GlucoseBlood glucoseHyperglycemiaHypoglycemiaIntensive care unitsOperating roomsPerioperative period

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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.