Evidence map›Paper›PMID 40707283›Full record

Observational studyBritish journal of anaesthesia2025

Accuracy of continuous glucose monitoring during noncardiac surgery: a prospective, blinded observational multicentre cohort study.

Henrike Janssen, Priyanthi Dias, Sanjali Ahuja, Saja Alharbi, Louise Hiller, Kamran Khan, Karthik Iyer, Ashok Sundar, Islam Abousharkh, Caroline Thomas and 4 more

Abstract readObservational StudyMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in British journal of anaesthesia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. 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

14 authors.

Henrike JanssenTranslational Medicine and Therapeutics, William Harvey Research Institute, Queen Mary University of London, London, UK.
Priyanthi DiasTranslational Medicine and Therapeutics, William Harvey Research Institute, Queen Mary University of London, London, UK.
Sanjali AhujaTranslational Medicine and Therapeutics, William Harvey Research Institute, Queen Mary University of London, London, UK.
Saja AlharbiTranslational Medicine and Therapeutics, William Harvey Research Institute, Queen Mary University of London, London, UK; King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia; King Abdullah International Medical Research Center, Riyadh, Saudi Arabia.
Louise HillerWarwick Clinical Trials Unit, University of Warwick, Warwick, UK.
Kamran KhanTranslational Medicine and Therapeutics, William Harvey Research Institute, Queen Mary University of London, London, UK.
Karthik IyerUniversity Hospitals Birmingham NHS Trust, Birmingham, UK.
Ashok SundarCroydon University Hospital, Croydon, Croydon, UK.
Islam AbousharkhCroydon University Hospital, Croydon, Croydon, UK.
Caroline ThomasSt James's University Hospital, Leeds, UK.
Shaman JhanjiDepartment of Anaesthesia, Perioperative Medicine and Critical Care, Royal Marsden Hospital, London, UK.
Nick S OliverDepartment of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.
Gareth L AcklandTranslational Medicine and Therapeutics, William Harvey Research Institute, Queen Mary University of London, London, UK. Electronic address: g.ackland@qmul.ac.uk.
GlucoVITAL Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperglycaemia after noncardiac surgery is rarely detected outside of the critical care environment, yet occurs commonly and is associated with excess complications including infections and myocardial injury. Systematic, prospectively collected data regarding the accuracy of continuous glucose monitoring commenced immediately before surgery and throughout the early perioperative period are lacking.

methodsWe prospectively enrolled patients aged >50 yr undergoing noncardiac surgery who required at least 24 h of hospital stay. We used real-time continuous glucose monitoring (Dexcom G7 sensor, placed in the upper outer arm) (Dexcom, San Diego, CA, USA) with reference values from arterial blood glucose measurements by amperometry. The primary outcome was the overall mean difference (bias) before surgery, at end of surgery, and 24 h after surgery (Bland-Altman analysis). Secondary outcomes included the mean absolute relative difference and surveillance error grid analyses.

resultsWe compared paired blood (73% arterial) and continuous glucose monitoring glucose values at each prespecified timepoint in 118 participants (64/118 [54%] female; mean age: 66 [range: 51-89] yr; 25% with diabetes mellitus). The overall bias between continuous glucose monitoring and blood glucose from measurements at each of the three timepoints in the first 24 h after induction of anaesthesia was 0.38 mM (95% confidence interval [95% CI]: 0.23-0.53; n=340 paired readings). Bias decreased from before the start of surgery (1.08 mM [95% CI: 0.87-1.29]; n=116) to 0.15 mM at the end of surgery (95% CI: -0.15 to 0.46; n=113). Mean absolute relative difference ranged from 12.0% to 18.3%. Error grid analyses found that >98% continuous glucose monitoring values were within acceptable risk ranges.

conclusionsThe accuracy of state-of-the-art continuous glucose monitoring is sufficient for perioperative use and could enhance perioperative surveillance of dysglycaemia. CLINICAL

trial registrationISRCTN46862025.

Indexed as

Blood GlucoseHyperglycemiaMonitoring, IntraoperativeSurgical Procedures, OperativeAgedAged, 80 and overCohort StudiesContinuous Glucose MonitoringFemaleHumansMaleMiddle AgedProspective StudiesReproducibility of ResultsSingle-Blind MethodBlood Glucosecomplicationsglucose monitoringhyperglycaemianoncardiac surgeryperioperative care

Identifiers

PMID40707283
PMCPMC12674053

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.