Evidence map›Paper›PMID 36191303›Full record

ArticleRenal failure2022

The triglyceride-glucose index as a novel marker associated with sarcopenia in non-diabetic patients on maintenance hemodialysis.

Ruoxin Chen, Liuping Zhang, Mengyan Zhang, Ying Wang, Dan Liu, Zuolin Li, Xiaoliang Zhang, Hui Jin, Bicheng Liu, Hong Liu

Open access · goldAbstract read
In one paragraph

Article in Renal failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 4 pooled it
2.5field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 23 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

10 authors at 1 institution in 1 country.

Ruoxin ChenInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Liuping ZhangInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Mengyan ZhangInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Ying WangInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Dan LiuInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Zuolin LiInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Xiaoliang ZhangInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Hui JinInstitute of Nutrition, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Bicheng LiuInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Hong LiuInstitute of Nephrology, Zhongda Hospital, Southeast University School of Medicine, Nanjing, China.
Zhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveSarcopenia is a common complication in patients with end-stage kidney disease. Insulin resistance is present in non-diabetic patients undergoing maintenance hemodialysis (MHD) and is an important factor leading to sarcopenia. The triglyceride-glucose (TyG) index, a reliable indicator for evaluating insulin resistance, is widely used in clinical practice. The present study investigated the association between the TyG index and sarcopenia in non-diabetic patients undergoing MHD.

methodsRelevant clinical data of non-diabetic patients undergoing MHD at our center were collected. The TyG index was calculated using the following formula: ln(fasting triglycerides(mg/dL)×fasting blood glucose(mg/dL)/2). Multivariate logistic regression analyses were used to evaluate the associations. The receiver-operating characteristic curve was used to analyze the predictive value of the TyG index in sarcopenia.

resultsOf the 142 patients undergoing MHD who were included, 75 (52.82%) were men, the mean age was 54.05 ± 13.97 years, and 40 (28.17%) patients satisfied the diagnostic criteria for sarcopenia. The TyG index of participants with sarcopenia was higher compared with those without sarcopenia (8.83 ± 0.45 vs. 8.49 ± 0.50,

conclusionA higher TyG index was associated with an increased risk of sarcopenia in non-diabetic patients undergoing MHD; it may be used as a novel marker to reflect the presence of sarcopenia.

Indexed as

Insulin ResistanceSarcopeniaAdultAgedBiomarkersBlood GlucoseFemaleGlucoseHumansMaleMiddle AgedRenal DialysisRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesinsulin resistancemaintenance hemodialysisnon-diabeticSarcopeniatriglyceride-glucose index

Identifiers

PMID36191303
PMCPMC9543127
OpenAlexW4300817088

What OpenQuestion holds

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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 OpenQuestion graph.