Evidence map›Paper›PMID 37904197›Full record

ArticleJournal of orthopaedic surgery and research2023

Association between triglyceride-glucose index and bone mineral density in US adults: a cross sectional study.

Huixia Zhan, Xinyu Liu, Shenghua Piao, Xianglu Rong, Jiao Guo

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 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

5 authors at 1 institution in 1 country.

Huixia ZhanScience and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China.ORCID http://orcid.org/0000-0003-4939-1631
Xinyu LiuGuangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangzhou, China.
Shenghua PiaoGuangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangzhou, China.
Xianglu RongGuangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangzhou, China.
Jiao GuoGuangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Guangzhou, China. gyguoyz@163.com.ORCID http://orcid.org/0000-0002-0050-5055
Guangzhou University of Chinese Medicine · CN

Funding

Major basic and applied basic research projects of Guangdong Province of China 2019B030302005Project of Administration of Traditional Chinese Medicine of Guangdong Province of China 20222117the Fundamental Research Funds for the Central public welfare research institutes 2020Y5SZX-4the Key Project of National Natural Science Foundation of China 81830113the National key R & D program of China, "Research on modernization of traditional Chinese medicine" 2018YFC1704200
6 · The paper itself

Abstract

objectiveDisorders in glucose and lipid metabolism have been shown to exert an influence on bone metabolism. The TyG index, which combines measures of glucose and triglycerides, provides insights into the overall metabolic status. However, the investigation of concurrent disturbances in glucose and lipid metabolism and their specific implications for bone metabolism remains limited in the existing research literature. This study aimed to explore the correlation between the TyG index and bone mineral density (BMD) in US adults.

methodsIn the National Health and Nutrition Examination Survey (NHANES), subjects were classified based on the TyG index into four groups (< 7.97, 7.97-8.39, 8.39-8.85, > 8.86). Linear regression analysis was conducted to determine the β value and 95% confidence interval (CI). Four multivariable models were constructed. Restricted cubic spline analyses and piecewise linear regression were employed to identify the association between the BMD and TyG index. An analysis of subgroups was also conducted in this study.

resultsSignificant variations in related characteristics were found among the US adult population, who were distributed into four groups based on the quartiles of the TyG index. A negative correlation between the TyG index and lumbar spine BMD was observed. In the multi-adjusted models, compared to Q1 of the TyG index, the β for Q4 of the TyG index for lumbar spine BMD was [β = - 0.008, 95% CI (- 0.017, 0)] in US adults. The association between the TyG index and lumbar spine BMD was found to be nonlinear (all nonlinear p < 0.001), with a threshold value based on restricted cubic spline analyses. Above the threshold point, the β for lumbar spine BMD was - 0.042 (95% CI, - 0.059, - 0.024). Below the threshold points, no significant difference was observed (p > 0.05). No significant interactions were observed among subgroups based on age, gender, presence of diabetes, BMI, and use of antidiabetic and antihyperlipidemic agents. Similar patterns of association were observed in total and subtotal bone density.

conclusionsThis study identified a nonlinear association between the TyG index and BMD in the US population. Furthermore, an increased level of the TyG index may indicate a higher risk of osteoporosis among US adults. These findings highlight the importance of considering glucose and lipid metabolism disturbances in understanding bone health and the potential for developing preventive strategies for osteoporosis.

Indexed as

Bone DensityOsteoporosisAdultBiomarkersBlood GlucoseCross-Sectional StudiesGlucoseHumansNutrition SurveysRisk FactorsTriglyceridesBiomarkersBlood GlucoseGlucoseTriglyceridesBone mineral densityNHANESOsteoporosisTriglyceride–glucose index

Identifiers

PMID37904197
PMCPMC10614394
OpenAlexW4388022772

What OpenQuestion 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 OpenQuestion graph.