Evidence map›Paper›PMID 41345475›Full record

ArticleScientific reports2025

Dysglycaemia and the interaction of chronic and acute glycaemia with mortality post cardiac surgery.

Jenny Shi, Mark Plummer, Luke Perry, Alex Karamesinis, Jake V Hinton, Calvin M Fletcher, Jahan C Penny-Dimri, Dhruvesh M Ramson, Zhengyang Liu, Reny Segal and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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

14 authors.

Jenny ShiDepartment of Anaesthesia and Pain Management, Royal Melbourne Hospital, Melbourne Health, Parkville, VIC, 3010, Australia.
Mark PlummerAdelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, 5000, Australia.
Luke PerryDepartment of Critical Care, University of Melbourne, Parkville, VIC, 3052, Australia.
Alex KaramesinisVictorian Cardiac Anaesthesia Research Laboratory, Victorian Heart Institute, Monash University, Clayton, Australia.
Jake V HintonDepartment of Critical Care, University of Melbourne, Parkville, VIC, 3052, Australia.
Calvin M FletcherDepartment of Aanesthesiology and Perioperative Medicine, Alfred Health, Prahran, Australia.
Jahan C Penny-DimriDepartment of Surgery, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, 3168, Australia.
Dhruvesh M RamsonDepartment of Surgery, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, 3168, Australia.
Zhengyang LiuDepartment of Anaesthesia and Pain Management, Royal Melbourne Hospital, Melbourne Health, Parkville, VIC, 3010, Australia.
Reny SegalDepartment of Anaesthesia and Pain Management, Royal Melbourne Hospital, Melbourne Health, Parkville, VIC, 3010, Australia.
Julian A SmithDepartment of Surgery, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, 3168, Australia.
Michael HorowitzAdelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, 5000, Australia.
Ary Serpa-NetoDepartment of Critical Care, University of Melbourne, Parkville, VIC, 3052, Australia.
Aniket NadkarniAdelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, 5000, Australia. aniket.nadkarni@sa.gov.au.ORCID 0000-0001-7931-9900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperglycaemia, glycaemic variability and hypoglycaemia, are associated with adverse outcomes in the critically ill. In the cardiac surgical population, the relationship between these metrics and outcomes is poorly defined. We aimed to characterise the relationships between acute dysglycaemia, chronic hyperglycaemia and outcomes in a cardiac surgical population. Using the Medical Information Mart for Intensive Care IV v1.0 (MIMIC IV-v1.0) database, we compiled a dataset of cardiac surgical patients from 2008 to 2019. Multivariable analysis was performed to assess the independent effect of glucose metrics on mortality while controlling for confounders. Prior hyperglycaemia was assessed by measurement of glycated haemoglobin (HbA

Indexed as

Cardiac Surgical ProceduresHyperglycemiaHypoglycemiaPostoperative ComplicationsAgedBlood GlucoseChronic DiseaseFemaleGlycated HemoglobinHumansMaleMiddle AgedRisk FactorsBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanBlood glucoseCardiothoracic surgeryCritical careGlycaemic variabilityStress Hyperglycaemia

Identifiers

PMID41345475
PMCPMC12680719

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.