Evidence map›Paper›PMID 35643423›Full record

ArticleBMC geriatrics2022

Association of triglyceride glucose index with all-cause and cause-specific mortality among middle age and elderly US population.

Min Sun, Hongmei Guo, Yi Wang, Dongchao Ma

Abstract read
In one paragraph

Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

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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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Min SunInstitute of Hypertension, Jiangsu Province Official Hospital, 30 Luojia Road, Nanjing, 210029, China.
Hongmei GuoInstitute of Hypertension, Jiangsu Province Official Hospital, 30 Luojia Road, Nanjing, 210029, China.
Yi WangInstitute of Hypertension, Jiangsu Province Official Hospital, 30 Luojia Road, Nanjing, 210029, China.
Dongchao MaInstitute of Hypertension, Jiangsu Province Official Hospital, 30 Luojia Road, Nanjing, 210029, China. mdc1974@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo investigate the association between the triglyceride glucose (TyG) index and all-cause and cause-specific mortality in middle age and elderly population. METHODS AND

resultsA total of 9,254 participants with age ≥ 45 years were enrolled from the National Health and Nutrition Examination Survey cycle of 1999-2014. The TyG index was determined as ln [fasting triglycerides (mg/dL) x fasting glucose (mg/dL)/2]. Primary outcomes were all-cause mortality and cause-specific mortality (cardiovascular diseases and malignant neoplasms). The association between the levels of TyG and the risk of mortality was explored with Cox regression models. After a median follow-up of 7.6 years, 1,774 all-cause death occurred. Univariate analysis showed that the TyG was associated with all-cause mortality (hazard ratio [HR] 1.18, 95% confidence interval [CI] [1.11,1.26]; p < 0.001). Furthermore, multivariate-adjusted analysis found that the third TyG quartile (8.72 ~ 9.16) was associated with the lowest risk of all-cause mortality (HR 0.84, 95%CI [0.73, 0.98]; p < 0.05). Restricted cubic splines showed that the association between levels of TyG index and the risk of all-cause mortality was non-linear (p for nonlinearity < 0.001) and the inflection point was 9.18 using threshold effect analysis. The HR was 0.82 (95%CI [0.71,0.96]) below 9.18 while the HR was 1.32 (95%CI [1.12,1.55]) above 9.18.

conclusionTyG index was U-shaped associated with all-cause mortality and the TyG index associated with the lowest risk of all-cause mortality was 9.18.

Indexed as

Blood GlucoseGlucoseAgedCause of DeathHumansNutrition SurveysTriglyceridesBlood GlucoseGlucoseTriglyceridesAll-cause mortalityCause-specific mortalityInsulin resistanceTriglyceride glucose index

Identifiers

PMID35643423
PMCPMC9145102

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LicenceCC BY
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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.