Evidence mapPaperPMID 42344873Full record

SynthesisFrontiers in nutrition2026

Short-term glycemic variability and the risk of adverse ICU outcomes in critically ill patients: a systematic review and meta-analysis.

Zhongyi Wu, Jianzheng Cai, Mingjing Fang, Weixia Yu, Cen Bi, Fang Shi, Xiaoyan Lu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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

7 authors.

Zhongyi Wu *Department of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Jianzheng Cai *Department of Nursing, The First Affiliated Hospital of Soochow University, Suzhou, China.
Mingjing FangDepartment of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Weixia YuDepartment of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Cen BiDepartment of Nursing, Suzhou Hospital Affiliated to Nanjing Medical University, Suzhou, China.
Fang ShiDepartment of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xiaoyan LuDepartment of Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To quantify associations between short-term glycemic variability (GV) metrics and multidimensional adverse outcomes in critically ill patients. Methods: We searched PubMed, EMBASE, and Web of Science from inception to August 16, 2025. We included observational studies of adult ICU patients reporting associations between short-term GV and adverse outcomes. Random-effects models were used for all meta-analyses. Where feasible, effect estimates were standardized to a relative risk (RR) comparing the highest versus lowest quartiles of GV. Results: We included 36 studies (123,911 patients), and 25 were meta-analyzed. ICU mortality was associated with standard deviation (SD; RR = 2.29, 95% CI 1.71-3.07) and mean absolute glucose change (MAG; RR = 2.24, 95% CI 1.19-4.23). Hospital mortality was associated with coefficient of variation (CV, RR = 1.39, 95% CI 1.05-1.85) and SD (RR = 2.26, 95% CI 1.19-4.30). 28/30-day mortality was associated with CV (RR = 1.34, 95% CI 1.10-1.63) and mean amplitude of glycemic excursions (MAGE; RR = 2.05, 95% CI 1.52-2.77), and MAGE also predicted 90-day mortality (RR = 2.90, 95% CI 1.96-4.30). Furthermore, each unit increase in SD predicted higher infection risk (OR = 1.02, 95% CI 1.01-1.04) but not neurological adverse events (OR = 1.23, 95% CI 0.91-1.66). Conclusion: Short-term GV is a robust predictor of mortality across different follow-up windows and clinical settings, as well as infection-related outcomes. The current findings support using short-term GV as a key prognostic marker to complement mean glucose in intensive care. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD420251114266, identifier PROSPERO (CRD420251114266).

Indexed as

critical illnessglycemic variabilityintensive care unitprognosissystematic review and meta-analysis

Identifiers

PMID42344873
PMCPMC13286760

What Socratic holds

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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 Socratic graph.