SynthesisFrontiers in endocrinology2026
Glycemic variability and the short-term mortality of hospitalized patients with COVID-19: a meta-analysis.
Synthesis in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Glucose variability (GV) reflects fluctuations in blood glucose and may better capture metabolic instability than static glycemic measures in patients with Coronavirus disease 2019 (COVID-19). However, its association with mortality remains uncertain due to heterogeneous study designs and inconsistent findings. This meta-analysis was performed to evaluate the association between GV and short-term all-cause mortality in adult patients hospitalized with COVID-19. Methods: PubMed, Embase, and Web of Science were systematically searched for longitudinal observational studies reporting the association between GV and mortality in patients hospitalized with COVID-19. Risk ratios (RRs) with 95% confidence intervals (CIs) were pooled using a random-effects model accounting for the possible influence of heterogeneity. Results: Ten cohort studies comprising 11 datasets and 77,395 patients were included, with 8,189 deaths. High GV was associated with a significantly increased risk of all-cause mortality (RR = 2.10, 95% CI: 1.69-2.59; I² = 45%). The association was stronger in studies with a mean age ≥ 62 years (RR = 2.79) compared with < 62 years (RR = 1.78; Conclusions: Higher GV is associated with increased short-term mortality in hospitalized patients with COVID-19, supporting its role as a potential prognostic marker. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/, identifier CRD420261358246.
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