Evidence map›Paper›PMID 35779467›Full record

ArticleJournal of infection and public health2022

Association of triglyceride-glucose index with prognosis of COVID-19: A population-based study.

Yoonkyung Chang, Jimin Jeon, Tae-Jin Song, Jinkwon Kim

Open access · goldAbstract read
In one paragraph

Article in Journal of infection and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

28 citing papers in PubMed, 53 citations in OpenAlex.

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  18. The prognostic significance of insulin resistance in COVID-19: a review.Journal of diabetes and metabolic disorders · 2024
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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 at 2 institutions in 1 country.

Yoonkyung ChangDepartment of Neurology, Mokdong Hospital, Ewha Womans University College of Medicine, Seoul, Republic of Korea.
Jimin JeonDepartment of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea.
Tae-Jin SongDepartment of Neurology, Seoul Hospital, Ewha Womans University College of Medicine, Seoul, Republic of Korea. Electronic address: knstar@ewha.ac.kr.
Jinkwon KimDepartment of Neurology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea. Electronic address: antithrombus@yuhs.ac.
Ewha Womans University · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriglyceride-glucose (TyG) index is a simple and reliable surrogate marker for insulin resistance. Epidemiology studies have shown that insulin resistance is a risk factor for various infectious diseases. We evaluated the prognostic value of TyG index measured before the COVID-19 infection in COVID-19 infected patients.

methodsFrom a nationwide COVID-19 cohort dataset in Korea, we included COVID-19 patients diagnosed between Jan and Jun 2020. Based on the nationwide health screening data between 2015 and 2018, TyG index was calculated as ln [triglyceride (mg/dL) × fasting glucose level (mg/dL)/2]. Primary outcome is development of severe complications of COVID-19 defined as composite of mechanical ventilation, intensive care unit care, high-flow oxygen therapy, and mortality within two months after the diagnosis of COVID-19.

resultsThis study included 3887 patients with COVID-19 confirmed by reverse transcription polymerase chain reaction. Mean ± standard deviation of TyG index was 8.54 ± 0.61. Severe complications of COVID-19 were noted in 289 (7.44%) patients. In the multivariate logistic regression, TyG index was positively associated with severe complications of COVID-19 (adjusted odds ratio: 1.42, 95% confidence interval [1.12-1.79]).

conclusionsIn COVID-19 infected patients, high TyG index was associated with increased risk for severe complications. TyG index might be useful predictor for the severity of COVID-19 infection.

Indexed as

COVID-19Insulin ResistanceBiomarkersBlood GlucoseGlucoseHumansPrognosisRisk AssessmentRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesCOVID-19GlucoseInsulin resistanceTriglyceride-glucose index

Identifiers

PMID35779467
PMCPMC9225941
OpenAlexW4283379160

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.