Evidence map›Paper›PMID 42675770›Full record

ArticleMedicine2026

Association between stress hyperglycemic ratio and all-cause mortality in critically ill patients following cardiac surgery: A retrospective cohort study.

Yuanli Yang, Ronglin Chen, Jian Xu, Sanming Yu, Linhai Sun, Ying Zhao

Abstract read
In one paragraph

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

0numbers the graph read from it
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

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

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

6 authors.

Yuanli YangDepartment of Critical Care Medicine, Longgang Central Hospital (Shenzhen Clinical College, Guangzhou University of Chinese Medicine; Longgang Clinical Institute of Shantou University Medical College), Shenzhen, Guangdong, China.
Ronglin ChenDepartment of Critical Care Medicine, Longgang Central Hospital (Shenzhen Clinical College, Guangzhou University of Chinese Medicine; Longgang Clinical Institute of Shantou University Medical College), Shenzhen, Guangdong, China.
Jian XuDepartment of Critical Care Medicine, Longgang Central Hospital (Shenzhen Clinical College, Guangzhou University of Chinese Medicine; Longgang Clinical Institute of Shantou University Medical College), Shenzhen, Guangdong, China.
Sanming YuDepartment of Critical Care Medicine, Longgang Central Hospital (Shenzhen Clinical College, Guangzhou University of Chinese Medicine; Longgang Clinical Institute of Shantou University Medical College), Shenzhen, Guangdong, China.
Linhai SunDepartment of Emergency Medicine, Longgang Central Hospital (Shenzhen Clinical College, Guangzhou University of Chinese Medicine; Longgang Clinical Institute of Shantou University Medical College), Shenzhen, Guangdong, China.
Ying ZhaoDepartment of Critical Care Medicine, Longgang Central Hospital (Shenzhen Clinical College, Guangzhou University of Chinese Medicine; Longgang Clinical Institute of Shantou University Medical College), Shenzhen, Guangdong, China.ORCID 0000-0003-3213-7602

Funding

Shenzhen Medical Research Funds C2401019
6 · The paper itself

Abstract

The stress hyperglycemic ratio (SHR) can be used as a reliable predictor of various adverse cardiovascular outcomes. However, there are fewer studies on the relationship between SHR and the risk of all-cause mortality in critically ill patients undergoing cardiac surgery (CS). Therefore, the aim of this study was to investigate the relationship between SHR levels and all-cause mortality in critically ill patients with CS admitted to the intensive care unit. Data from 3117 CS intensive care unit patients (Medical Information Mart for Intensive Care-IV) were analyzed. SHR values were categorized into 4 groups using equal-frequency binning to ensure uniform distribution across intervals. The primary outcomes were 30- and 180-day all-cause mortality, with secondary outcomes including 90- and 365-day all-cause mortality. Kaplan-Meier survival curves were employed to compare survival outcomes across SHR groups for both primary and secondary endpoints. To further evaluate the associations between SHR and mortality outcomes, Cox proportional hazards regression models were fitted, supplemented by restricted cubic splines analysis to investigate potential nonlinear relationships between SHR and the risk of death. Among 3117 participants, higher levels of the SHR index were significantly associated with increased all-cause mortality risk at 30, 90, 180, and 365 days (log-rank P < .001 by Kaplan-Meier analysis). Cox proportional hazards regression confirmed significantly elevated mortality risk in the highest SHR quartile at all timepoints. restricted cubic splines analysis revealed a J-shaped association between SHR and mortality, with inflection points at 0.94 (30-day) and 0.96 (365--day). Compared to patients with SHR levels below the inflection point, those with higher SHR levels had a 4.490-fold higher risk of 30-day all-cause mortality (hazard ratio: 4.490, 95% confidence interval: 2.944-6.848) and 3.701-fold higher risk of 365-day all-cause mortality (hazard ratio: 3.701, 95% confidence interval: 2.526-5.425). In critically ill patients following CS, higher SHR was significantly associated with increased all-cause mortality risk at 30, 90, 180 and 365 days postoperatively. SHR may serve as a prognostic marker to guide intensive care unit therapeutic strategies.

Indexed as

Cardiac Surgical ProceduresCritical IllnessHyperglycemiaAgedFemaleHumansIntensive Care UnitsKaplan-Meier EstimateMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk Factorsall-cause mortalitycardiac surgerycohort studypredictivestress hyperglycemia ratio

Identifiers

PMID42675770
PMCPMC13529096

What OpenQuestion holds

Textmetadata
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.