Evidence map›Paper›PMID 38762634›Full record

Observational studyJournal of endocrinological investigation2024

The complexity of glucose time series is associated with short- and long-term mortality in critically ill adults: a multi-center, prospective, observational study.

Y Wang, S Li, J Lu, K Feng, X Huang, F Hu, M Sun, Y Zou, Y Li, W Huang and 1 more

Abstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Journal of endocrinological investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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

11 authors.

Y Wang *Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China.
S Li *Department of Anesthesiology, Tongji University Affiliated Shanghai Tenth People's Hospital, Shanghai, China.
J Lu *Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China.
K FengDepartment of Critical Care Medicine, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China.
X HuangDepartment of Critical Care Medicine, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China.
F HuDepartment of Critical Care Medicine, Shanghai Fengxian District Central Hospital, Shanghai, China.
M SunDepartment of Critical Care Medicine, Shanghai Eighth People's Hospital, Shanghai, China.
Y ZouDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital East Campus, Shanghai, China.
Y LiDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China. yingchuan_li@tongji.edu.cn.ORCID http://orcid.org/0000-0002-5522-4402
W HuangDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 600 Yishan Road, Shanghai, 200233, China. breeze-huang@hotmail.com.ORCID http://orcid.org/0000-0002-8084-8831
J ZhouDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine; Shanghai Clinical Center for Diabetes; Shanghai Diabetes Institute; Shanghai Key Laboratory of Diabetes Mellitus, 600 Yishan Road, Shanghai, 200233, China. zhoujian@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-1534-2279

Funding

National Key Clinical Specialty Z155080000004Program of Shanghai Academic/Technology Research Leader 22XD1402300Shanghai Key Discipline of Public Health Grants Award GWVI-11.1-20Shanghai Key Discipline of Public Health Grants Award GWVI-11.1-22Shanghai Research Center for Endocrine and Metabolic Diseases 2022ZZ01002
6 · The paper itself

Abstract

backgroundThe wealth of data taken from continuous glucose monitoring (CGM) remains to be fully used. We aimed to evaluate the relationship between a promising new CGM metric, complexity of glucose time series index (CGI), and mortality in critically ill patients.

methodsA total of 293 patients admitted to mixed medical/surgical intensive care units from 5 medical centers in Shanghai were prospectively included between May 2020 and November 2021. CGI was assessed using intermittently scanned CGM, with a median monitoring period of 12.0 days. Outcome measures included short- and long-term mortality.

resultsDuring a median follow-up period of 1.7 years, a total of 139 (47.4%) deaths were identified, of which 73 (24.9%) occurred within the first 30 days after ICU admission, and 103 (35.2%) within 90 days. The multivariable-adjusted HRs for 30-day mortality across ascending tertiles of CGI were 1.00 (reference), 0.68 (95% CI 0.38-1.22) and 0.36 (95% CI 0.19-0.70), respectively. For per 1-SD increase in CGI, the risk of 30-day mortality was decreased by 51% (HR 0.49, 95% CI 0.35-0.69). Further adjustment for HbA1c, mean glucose during hospitalization and glucose variability partially attenuated these associations, although the link between CGI and 30-day mortality remained significant (per 1-SD increase: HR 0.57, 95% CI 0.40-0.83). Similar results were observed when 90-day mortality was considered as the outcome. Furthermore, CGI was also significantly and independently associated with long-term mortality (per 1-SD increase: HR 0.77, 95% CI 0.61-0.97).

conclusionsIn critically ill patients, CGI is significantly associated with short- and long-term mortality.

Indexed as

Blood GlucoseCritical IllnessAdultAgedChinaFemaleFollow-Up StudiesHumansHyperglycemiaIntensive Care UnitsMaleMiddle AgedPrognosisProspective StudiesTime FactorsBlood GlucoseComplexity of glucose time seriesContinuous glucose monitoringCritically ill patientsMortality

Identifiers

PMID38762634
PMCPMC11549136

What OpenQuestion 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 OpenQuestion graph.