Evidence map›Paper›PMID 38222872›Full record

ReviewCritical care explorations2024

Glycemic Variability As a Prognostic Factor for Mortality in Patients With Critical Illness: A Systematic Review and Meta-Analysis.

Brett N Hryciw, Jamie Ghossein, Bram Rochwerg, Hilary Meggison, Shannon M Fernando, Kwadwo Kyeremanteng, Alexandre Tran, Andrew J E Seely

Open access · goldAbstract readReview
In one paragraph

Review in Critical care explorations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
8.2field-weighted citation impact, top 2% of its field
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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  9. Observational
  10. Association between sustained moderate hyperglycemia within first 48 hours and poor functional outcome after polytrauma: A retrospective cohort study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Observational
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  17. Nonlinear relationship between mean amplitude of glycemic excursion and mortality in critically ill stroke patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  18. Observational
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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 at 3 institutions in 1 country.

Brett N HryciwDivision of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
Jamie GhosseinDepartment of Medicine, University of Ottawa, Ottawa, ON, Canada.
Bram RochwergDepartment of Medicine, Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada.
Hilary MeggisonDivision of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
Shannon M FernandoDepartment of Critical Care, Lakeridge Health Corporation, Oshawa, ON, Canada.
Kwadwo KyeremantengDivision of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
Alexandre TranDivision of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
Andrew J E SeelyDivision of Critical Care, Department of Medicine, University of Ottawa, Ottawa, ON, Canada.
University of Ottawa · CAImpact · CALakeridge Health · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo perform a systematic review and meta-analysis to evaluate the association of various measures of glycemic variability, including time-domain and complexity-domain, with short-term mortality in patients with critical illness. DATA SOURCES: We searched Embase Classic +, MEDLINE, and the Cochrane Database of Systematic Reviews from inception to November 3, 2023. STUDY SELECTION: We included English language studies that assessed metrics of glycemic variation or complexity and short-term mortality in patients admitted to the ICU. DATA EXTRACTION: Two authors performed independent data abstraction and risk-of-bias assessments. We used a random-effects model to pool binary and continuous data and summarized estimates of effect using odds ratios and mean difference. We used the Quality in Prognosis Studies tool to assess risk of bias and the Grading of Recommendations, Assessment, Development and Evaluations to assess certainty of pooled estimates. DATA SYNTHESIS: We included 41 studies (

conclusionsWe found a consistent association between increased measures of glycemic variability and higher short-term mortality in patient with critical illness. Further research should focus on standardized measurements of glycemic variation and complexity, along with their utility as therapeutic targets and prognostic markers.

Indexed as

critical illnessglycemic variabilityprognostication

Identifiers

PMID38222872
PMCPMC10786590
OpenAlexW4390807262

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.