Evidence map›Paper›PMID 42304655›Full record

Trial reportDiabetic medicine : a journal of the British Diabetic Association2026

Glycaemic penalty index as an independent predictor of healthcare-associated infection in surgical inpatients: A nested cohort study from the STOIC-D surgery trial.

Gabrielle Blomson, Rahul D Barmanray, Mervyn Kyi, Peter G Colman, Leon J Worth, Minh V Le, Emily Sun, Spiros Fourlanos

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetic medicine : a journal of the British Diabetic Association, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Gabrielle BlomsonDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.ORCID https://orcid.org/0009-0009-3809-1407
Rahul D BarmanrayDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-1433-2239
Mervyn KyiDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-4341-8250
Peter G ColmanDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Leon J WorthSir Peter MacCallum Department of Oncology, National Centre for Infections in Cancer (NCIC), The University of Melbourne, Melbourne, Victoria, Australia.
Minh V LeDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Emily SunDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.
Spiros FourlanosDepartment of Diabetes & Endocrinology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-5153-8324

Funding

Australian Government Research Training Program ScholarshipRowe Family Foundation Perpetual GrantRoyal Melbourne Hospital Home Lottery Victor Hurley Grant
6 · The paper itself

Abstract

aimsTo evaluate the utility of the Glycemic Penalty Index (GPI), a validated tool for assessing risk of adversity associated with inpatient dysglycaemia in surgical intensive care patients, in predicting adverse clinical outcomes among surgical inpatients at a quaternary Australian hospital.

methodsThis nested cohort study analysed data from the control arm of the Specialist Treatment of Inpatients: Caring for Diabetes in Surgery (STOIC-D Surgery) randomised controlled trial. The GPI was calculated using blood glucose values to derive patient-day weighted mean GPI (PDWMGPI). Univariable and multivariable analyses assessed associations between GPI and the outcomes of healthcare-associated infection (HAI) and acute kidney injury.

results691 surgical inpatients with diabetes receiving standard care were included. On multivariable analysis, increasing PDWMGPI was independently associated with healthcare-associated infection (odds ratio 1.02 per one-unit increase, 95% CI 1.01-1.04, p = 0.008).

conclusionThe association between PDWMGPI and HAI suggests that linearised summary glycaemic measures may support clinicians in identifying patients at increased risk of adverse inpatient outcomes related to glycaemic patterns when interpreted alongside clinical factors. The simplicity of GPI as a single score may assist risk stratification and prioritisation of specialist diabetes input in surgical inpatient settings.

Indexed as

Blood GlucoseCross InfectionDiabetes MellitusGlycemic IndexAgedAustraliaCohort StudiesFemaleHumansInpatientsMaleMiddle AgedPredictive Value of TestsBlood Glucoseacute kidney injuryblood glucosecohort studiescross infectiondiabetes mellitusinpatientsoperative surgical procedures

Identifiers

PMID42304655
PMCPMC13643628

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.