Evidence map›Paper›PMID 34671683›Full record

ArticleJournal of diabetes research2021

Association between Diabetes Complications and the Triglyceride-Glucose Index in Hospitalized Patients with Type 2 Diabetes.

Ying Pan, Shao Zhong, Kaixin Zhou, Zijian Tian, Fei Chen, Ziqing Liu, Zhaoxu Geng, Shaoyun Li, Rong Huang, Heyou Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 8 pooled it
11.0field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 8 syntheses or guidelines pooled it, 107 citations in OpenAlex.

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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

12 authors at 6 institutions in 1 country.

Ying PanDepartment of Endocrinology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.ORCID https://orcid.org/0000-0001-9935-6194
Shao ZhongDepartment of Endocrinology, Kunshan Hospital Affiliated to Jiangsu University, Kunshan, Jiangsu, China.ORCID https://orcid.org/0000-0002-9054-6554
Kaixin ZhouCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-4751-7248
Zijian TianCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-2182-5381
Fei ChenCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0002-1244-2194
Ziqing LiuCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0001-5907-0482
Zhaoxu GengInstitute of Biophysics, Chinese Academy of Sciences, Beijing, China.ORCID https://orcid.org/0000-0001-6714-8382
Shaoyun LiBig Data Laboratory, Renji Hospital, University of Chinese Academy of Sciences, Chongqing, China.ORCID https://orcid.org/0000-0002-6019-5730
Rong HuangBioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, China.ORCID https://orcid.org/0000-0002-9484-6802
Heyou WangPenglang Community Health Service Center, Kunshan, Jiangsu, China.ORCID https://orcid.org/0000-0001-9233-6801
Weiqing ZouPenglang Community Health Service Center, Kunshan, Jiangsu, China.ORCID https://orcid.org/0000-0002-4853-4090
Ji HuDepartment of Endocrinology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.ORCID https://orcid.org/0000-0002-3443-999X
University of Chinese Academy of Sciences · CNJiangsu University · CNChinese Academy of Sciences · CNGuangzhou Regenerative Medicine and Health Guangdong Laboratory · CNRenji Hospital · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriglyceride-glucose (TyG) index is a convenient indicator of insulin resistance. It has been shown to be associated with macrovascular and microvascular complications in nonhospitalized diabetic patients. However, whether TyG index is a risk factor of diabetes vascular complications in hospitalized type 2 diabetic patients is unclear. We sought to explore the association between TyG index and the risk of macrovascular and microvascular complications in a large Chinese cohort of hospitalized patients.

methodA total of 4,721 patients with type 2 diabetes (T2D) who were hospitalized in the Department of Endocrinology, Kunshan Hospital Affiliated to Jiangsu University were enrolled between January 2015 and November 2020. TyG index was calculated as ln[fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]. Measures of macrovascular complications included brachial-ankle pulse wave velocity (ba-PWV) and ankle-brachial index (ABI), whilst urine microalbumin (MAU), chronic kidney disease (CKD), and diabetic retinopathy (DR) were evaluated for microvascular complications. Logistic regressions were used to examine the association between TyG index and diabetes complications.

resultsIn univariate logistic regressions, higher TyG index was significantly (

conclusionHospitalized patients with an elevated TyG index were at a higher risk of lower limb vascular stenosis and nephric microvascular damage. Close monitoring of TyG index in patients with younger age or poor glycemic control could potentially reduce the burden of diabetes complications and prevent readmission.

Indexed as

AdultAgedAlbuminuriaAnkle Brachial IndexBlood GlucoseDiabetes Mellitus, Type 2Diabetic AngiopathiesDiabetic NephropathiesDiabetic RetinopathyFemaleHospitalizationHumansMaleMiddle AgedPulse Wave AnalysisRenal Insufficiency, ChronicBlood GlucoseTriglycerides

Identifiers

PMID34671683
PMCPMC8523276
OpenAlexW3205987667

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.