Evidence map›Paper›PMID 39371919›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2024

Elevated Triglyceride-Glucose (TyG) Index Predicts Poor Clinical Outcomes in Critically Ill AECOPD Patients: A Retrospective Study.

Xin Wang, Xuerong Cui, Huaping Fan, Tianyang Hu

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

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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

4 authors.

Xin Wang *Department of Respiratory and Critical Care Medicine, Deyang People's Hospital, Deyang, Sichuan, 618099, People's Republic of China.
Xuerong Cui *Department of Respiratory Medicine, People's Hospital of Shizhu Tujia Autonomous County, Chongqing, 409199, People's Republic of China.
Huaping FanDepartment of Cardiology, 63650 Military Hospital, Urumqi, Xinjiang, 841700, People's Republic of China.
Tianyang HuPrecision Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The triglyceride-glucose (TyG) index is a surrogate biomarker of insulin resistance which has been widely used in intensive care unit (ICU) to predict prognosis. However, its role in critically ill acute exacerbation of COPD (AECOPD) patients remains largely unknown. Material and methods: A total of 645 AECOPD patients were induced in this retrospective cohort study, which extracted data from the eICU Collaborative Research Database (eICU-CRD). The TyG index was calculated as Ln (fasting triglycerides (mg/dL) × fasting plasma glucose (mg/dL)/2). The primary endpoint includes in-hospital mortality and ICU mortality. The secondary endpoint was sepsis, acute kidney injury (AKI), and acute respiratory failure (ARF). Results: Multivariable Cox regression analysis revealed that the TyG index was independently associated with an increased risk of in-hospital mortality (hazard ratio, HR: 1.45, 95% CI: 1.04-2.01, Conclusion: Elevated TyG index was independently associated with an increased risk of poor clinical outcomes in critically ill AECOPD patients. A prospective study to define TyG as a biomarker for prognosis prediction in critically ill AECOPD patients is warranted.

Indexed as

Acute Kidney InjuryBiomarkersBlood GlucoseCritical IllnessHospital MortalityIntensive Care UnitsPredictive Value of TestsPulmonary Disease, Chronic ObstructiveSepsisTriglyceridesAgedAged, 80 and overChi-Square DistributionDatabases, FactualDisease ProgressionFemaleBiomarkersBlood GlucoseTriglyceridesAECOPDeICU-CRD databasemortalitytriglyceride-glucose index

Identifiers

PMID39371919
PMCPMC11453155

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.