Evidence map›Paper›PMID 40561102›Full record

ArticlePloS one2025

Glycemic variability and mortality in patients with aortic diseases: A multicenter retrospective cohort study.

Shanshan Tang, Zhiqiang Zhang, Yu Cheng, Lizhuang Zhang, Qiyao Wang, Cuihua Wang

Abstract readMulticenter Study
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

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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

6 authors.

Shanshan TangDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin Medical University, Tianjin, China.ORCID 0000-0001-7144-6788
Zhiqiang ZhangDepartment of Cardiology, Tianjin Medical University General Hospital, Tianjin Medical University, Tianjin, China.
Yu ChengCardiac Rehabilitation Group, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Lizhuang ZhangCardiac Rehabilitation Group, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Qiyao WangCardiac Rehabilitation Group, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Cuihua WangCardiac Rehabilitation Group, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.ORCID 0000-0001-8326-4412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe influence of glycemic variability (GV), defined as blood glucose fluctuations, on short-term mortality in patients with aortic diseases, such as aneurysms and dissections, remains understudied. This study evaluates the association between GV and mortality, explores non-linear patterns, and determines a GV threshold predictive of mortality risk.

methodsA retrospective analysis of 2,441 patients with aortic aneurysm or dissection from the MIMIC IV and eICU-CRD databases was performed. Key variables, including demographics, clinical characteristics, comorbidities, laboratory findings, and treatments, were assessed. Logistic and Cox regression models, smooth curve fitting, and subgroup analyses examined associations between GV and ICU and 30-day mortality.

resultsICU mortality occurred in 165 patients (6.8%), and 30-day mortality in 235 patients (9.6%). Increased GV was linearly associated with ICU mortality risk (P for non-linearity = 0.666). For 30-day mortality, a U-shaped relationship was observed, with minimal risk at a GV index of 0.2047 (P for non-linearity = 0.041). Adjusted models confirmed these findings (ICU mortality: OR = 1.15, 95% CI = 1.03-1.30, 30-day mortality: HR = 1.10, 95% CI = 1.03-1.18).

conclusionsGV is significantly associated with short-term mortality in aortic disease patients, with a U-shaped pattern for 30-day mortality and an optimal threshold of 0.2047. These findings underscore the importance of tailored glucose management strategies and call for further research into underlying mechanisms.

Indexed as

Aortic AneurysmAortic DissectionBlood GlucoseAgedFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedRetrospective StudiesRisk FactorsBlood Glucose

Identifiers

PMID40561102
PMCPMC12193046

What Socratic holds

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Registered trials

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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.