Evidence map›Paper›PMID 38568252›Full record

Observational studyDiabetologia2024

Threshold of hyperglycaemia associated with mortality in critically ill patients: a multicentre, prospective, observational study using continuous glucose monitoring.

Yaxin Wang, Siwan Li, Jingyi Lu, Kaixuan Feng, Xiaoli Huang, Fangbao Hu, Menghan Sun, Yan Zou, Yingchuan Li, Weifeng Huang and 1 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Observational
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  10. Observational
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.

Yaxin 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, Shanghai, China.
Siwan Li *Department of Anesthesiology, Tongji University Affiliated Shanghai Tenth People's Hospital, Shanghai, China.
Jingyi 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, Shanghai, China.
Kaixuan FengDepartment of Critical Care Medicine, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China.
Xiaoli HuangDepartment of Critical Care Medicine, Jinshan Branch of Shanghai Sixth People's Hospital, Shanghai, China.
Fangbao HuDepartment of Critical Care Medicine, Shanghai Fengxian District Central Hospital, Shanghai, China.
Menghan SunDepartment of Critical Care Medicine, Shanghai Eighth People's Hospital, Shanghai, China.
Yan ZouDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital East Campus, Shanghai, China.
Yingchuan LiDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. yingchuan_li@tongji.edu.cn.ORCID http://orcid.org/0000-0002-5522-4402
Weifeng HuangDepartment of Critical Care Medicine, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China. breeze-huang@hotmail.com.ORCID http://orcid.org/0000-0002-8084-8831
Jian 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, Shanghai, China. zhoujian@sjtu.edu.cn.ORCID http://orcid.org/0000-0002-1534-2279

Funding

Program of Shanghai Academic/Technology Research Leader 22XD1402300Shanghai Research Center for Endocrine and Metabolic Diseases 2022ZZ01002Shanghai "Rising Stars of Medical Talent" Youth Development Program-Outstanding Youth Medical Talents SHWSRS(2021)_099
6 · The paper itself

Abstract

aims/hypothesisContinuous glucose monitoring (CGM) provides comprehensive information on the exposure to dysglycaemia. This study aimed to investigate the threshold of hyperglycaemia related to mortality risk in critically ill patients using CGM technology.

methodsA total of 293 adult critically ill patients admitted to intensive care units of five medical centres were prospectively included between May 2020 and November 2021. Participants wore intermittently scanned CGM for a median of 12.0 days. The relationships between different predefined time above ranges (TARs), with the thresholds of hyperglycaemia ranging from 7.8 to 13.9 mmol/l (140-250 mg/dl), and in-hospital mortality risk were assessed by multivariate Cox proportional regression analysis. Time in ranges (TIRs) of 3.9 mmol/l (70 mg/dl) to the predefined hyperglycaemic thresholds were also assessed.

resultsOverall, 66 (22.5%) in-hospital deaths were identified. Only TARs with a threshold of 10.5 mmol/l (190 mg/dl) or above were significantly associated with the risk of in-hospital mortality, after adjustment for covariates. Furthermore, as the thresholds for TAR increased from 10.5 mmol/l to 13.9 mmol/l (190 mg/dl to 250 mg/dl), the hazards of in-hospital mortality increased incrementally with every 10% increase in TARs. Similar results were observed concerning the associations between TIRs with various upper thresholds and in-hospital mortality risk. For per absolute 10% decrease in TIR 3.9-10.5 mmol/l (70-190 mg/dl), the risk of in-hospital mortality was increased by 12.1% (HR 1.121 [95% CI 1.003, 1.253]). CONCLUSIONS/

interpretationA glucose level exceeding 10.5 mmol/l (190 mg/dl) was significantly associated with higher risk of in-hospital mortality in critically ill patients.

Indexed as

Blood GlucoseCritical IllnessHospital MortalityHyperglycemiaAgedContinuous Glucose MonitoringFemaleHumansIntensive Care UnitsMaleMiddle AgedMonitoring, PhysiologicProspective StudiesBlood GlucoseContinuous glucose monitoringCritically ill patientsThreshold of hyperglycaemia

Identifiers

PMID38568252
PMCPMC11153265

What Socratic holds

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LicenceCC BY
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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 Socratic graph.