Evidence map›Paper›PMID 31725665›Full record

Observational studyMedicine2019

The triglyceride glucose index can predict newly diagnosed biopsy-proven diabetic nephropathy in type 2 diabetes: A nested case control study.

Jin Shang, Dahai Yu, Yamei Cai, Zheng Wang, Bin Zhao, Zhanzheng Zhao, David Simmons

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  7. The Predictive Value of Insulin Resistance Surrogates for Diabetic Kidney Disease in Type 2 Diabetes Mellitus.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
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  15. Role of Triglyceride-Glucose Index in Type 2 Diabetes Mellitus and Its Complications.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Review
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  18. Article
  19. Article
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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

7 authors at 3 institutions in 3 countries.

Jin ShangDepartment of Nephrology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Dahai YuDepartment of Nephrology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Yamei CaiDepartment of Nephrology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Zheng WangDepartment of Nephrology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
Bin ZhaoThe Second Division of Internal Medicine, Kejing Community Health Centre, Jiyuan, China.
Zhanzheng ZhaoDepartment of Nephrology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
David SimmonsDepartment of Nephrology, The First Affiliated Hospital, Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNKeele University · GBWestern Sydney University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insulin resistance is usually a key factor in the development of type 2 diabetes. The triglyceride glucose (TyG) index is a marker of insulin resistance which is also implicated in the risk of nephropathy among people with type 2 diabetes. This study aimed to examine associations and potential thresholds between TyG index and the risk of newly diagnosed biopsy-proven diabetic nephropathy in people with type 2 diabetes. A nested case-control study incorporating 950 incident biopsy-proven diabetic nephropathy cases and age, gender matched 4750 patients with treated type 2 diabetes as controls selected by risk-set sampling method was implemented. The dose-response association between TyG index with subsequent risk of newly diagnosed biopsy-proven diabetic nephropathy after adjustment for age, gender, blood pressure, and other major cardiovascular risk factors were examined by conditional logistic regression model. A non-linear relationship was identified between TyG index and the risk of newly diagnosed biopsy-proven diabetic nephropathy with a potential threshold of TyG at 9.05-9.09. Similar relationships with the same threshold were also found in the analyses by fasting glucose and triglyceride levels. TyG index might be a prognostic factor in predicting newly development of biopsy-proven diabetic nephropathy among patients with treated type 2 diabetes. In people with type 2 diabetes, TyG index above 9.05-9.09 could be a prognostic threshold to identify individuals at high risk of diabetic nephropathy. Further replication studies are warranted.

Indexed as

AgedAge FactorsBiomarkersBlood GlucoseBlood PressureCase-Control StudiesDiabetes Mellitus, Type 2Diabetic NephropathiesFemaleHumansInsulin ResistanceMaleMiddle AgedRisk FactorsSex FactorsTriglyceridesBiomarkersBlood GlucoseTriglycerides

Identifiers

PMID31725665
PMCPMC6867726
OpenAlexW2989549021

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.