Evidence map›Paper›PMID 38470005›Full record

ArticleJournal of diabetes investigation2024

Between blood glucose and mortality in critically ill patients: Retrospective analysis of the MIMIC-IV database.

Yuanyuan Li, Wenqiang Li, Baocai Xu

Abstract read
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Article in Journal of diabetes investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

3 authors.

Yuanyuan LiDepartment of ICU, Jining No.1 People's Hospital, Jining, China.
Wenqiang LiDepartment of ICU, Jining No.1 People's Hospital, Jining, China.
Baocai XuDepartment of urology, Jining No.1 People's Hospital, Jining, China.ORCID https://orcid.org/0000-0002-4093-9384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AIMS/

introductionMean blood glucose (MBG) level is associated with mortality among critically ill patients. We undertook a cohort study to investigate the relationship between MBG and mortality in critically ill patients. MATERIALS AND

methodsCritically ill patients were enrolled from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. MBG was calculated to represent the overall glycemic status during intensive care unit (ICU) hospitalization, and a multivariate logistic regression determined the relationship between MBG and ICU mortality in different subgroups of critically ill patients.

resultsA total of 8,973 patients were included in the study, 1,244 of whom died within 28 days, including 5,402 men and 3,571 women. Multivariate adjusted restricted cubic spline analyses suggested that the relationship between MBG and ICU mortality was a "J" shape. Logistic regression showed 28 day mortality in group 3 (glucose ≥10 mmol/L): the adjusted odds ratio was 2.06 (95% confidence interval 1.65-2.57). The results of subgroup analysis showed that hyperglycemia had a more significant impact on ICU mortality in patients without diabetes, hypoglycemia and liver disease, and the ICU mortality risk of non-diabetes patients was always higher than that of diabetes patients with the same hyperglycemia level.

conclusionsCurrent evidence suggested a J-shaped relationship between MBG and mortality in critically ill patients.

Indexed as

Blood GlucoseCritical IllnessDatabases, FactualHospital MortalityHyperglycemiaIntensive Care UnitsAgedFemaleHumansHypoglycemiaMaleMiddle AgedRetrospective StudiesBlood GlucoseCritically illMean blood glucosemortality

Identifiers

PMID38470005
PMCPMC11215680

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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.