Evidence map›Paper›PMID 42028289›Full record

ArticleInternational journal of endocrinology2026

Stress Hyperglycemia Ratio as a Predictor of All-Cause and Cardiovascular Mortality in the General Population: Insights From NHANES 2001-2018.

Lei Zhang, Chang Shu, WenTao Hu, WanCheng Guo, PengCheng Guo, Rui Li, Dexiang Xia, Xin Li

Abstract read
In one paragraph

Article in International journal of endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Lei ZhangDepartment of Vascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.ORCID https://orcid.org/0000-0002-7238-6999
Chang ShuDepartment of Vascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.ORCID https://orcid.org/0000-0002-5096-4655
WenTao HuDepartment of Urology, The Second Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.ORCID https://orcid.org/0009-0007-4553-1680
WanCheng GuoDepartment of Urology, The Second Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.ORCID https://orcid.org/0009-0004-8896-9410
PengCheng GuoDepartment of Vascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.ORCID https://orcid.org/0009-0007-0183-7194
Rui LiDepartment of Vascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.ORCID https://orcid.org/0009-0006-6461-0977
Dexiang XiaDepartment of Vascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.ORCID https://orcid.org/0009-0001-0669-5531
Xin LiDepartment of Vascular Surgery, The Second Xiangya Hospital, Central South University, Changsha, China, csu.edu.cn.ORCID https://orcid.org/0000-0002-3431-226X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stress hyperglycemia ratio (SHR) is closely related to adverse clinical outcomes. However, the link between general population all-cause mortality (ACM) and cardiovascular mortality (CVM) remains undetermined. Thus, this research was designed to investigate the associations between SHR and ACM and CVM. Methods: The research data are sourced from NHANES. The correlations between SHR and death were examined via multivariate Cox proportional hazards models. These models were adjusted for clinical, socioeconomic, and demographic characteristics. Potential nonlinear relationships were estimated via restricted cubic spline (RCS) analysis. Predictive accuracy was measured by time-dependent ROC curves, and mortality risk across SHR quartiles was examined by Kaplan-Meier survival curves. Age, sex, race, BMI, level of education, smoke, and poverty-income ratio were used as subgroups to investigate potential moderators of the effect. Results: About 1847 people died from any cause and 589 from cardiovascular disease throughout the median follow-up period of 97 months. SHR was negatively associated with ACM (HR: 0.77, 95% CI: 0.68-0.88) and CVM (HR: 0.73, 95% CI: 0.60-0.90) when SHR was below the threshold values (SHR < 0.81 in ACM and SHR< 0.84 in CVM), whereas it was positively associated with ACM (HR: 1.10, 95%CI: 1.05-1.15) and CVM (HR: 1.08, 95%CI: 1.00-1.16) when it was above the threshold values. The ROC curve revealed that the SHR may serve as a predictor of ACM and CVM. Conclusions: SHR exhibits a nonlinear, threshold-dependent association with ACM and CVM, and it may serve as a predictor of ACM and CVM.

Indexed as

ACMCVMNHANESSHR

Identifiers

PMID42028289
PMCPMC13101950

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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 OpenQuestion graph.