Evidence map›Paper›PMID 35990944›Full record

ArticleFrontiers in cardiovascular medicine2022

Association between hypertriglyceridemic-waist phenotype and cardiovascular disease: A cohort study and meta-analysis.

Xiaowei Zheng, Xiao Ren, Minglan Jiang, Longyang Han

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 14 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

4 authors at 1 institution in 1 country.

Xiaowei ZhengDepartment of Public Health and Preventive Medicine, Wuxi School of Medicine Jiangnan University, Wuxi, China.
Xiao RenDepartment of Public Health and Preventive Medicine, Wuxi School of Medicine Jiangnan University, Wuxi, China.
Minglan JiangDepartment of Public Health and Preventive Medicine, Wuxi School of Medicine Jiangnan University, Wuxi, China.
Longyang HanDepartment of Public Health and Preventive Medicine, Wuxi School of Medicine Jiangnan University, Wuxi, China.
Jiangnan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between hypertriglyceridemic-waist (HTGW) phenotype and cardiovascular disease (CVD) remains inconsistent and debatable. We aimed to prospectively investigate the relationship between HTGW phenotype and CVD. Methods and results: We included 8,216 participants from the China Health and Retirement Longitudinal Study. Participants were categorized into four subgroups: NTNW: normal triglyceride levels and normal waist circumference; HTNW: high triglyceride levels and normal waist circumference; NTGW: normal triglyceride levels with enlarged waist circumference; HTGW: high triglyceride levels and enlarged waist circumference. A Cox proportional hazards model was applied to determine the association between HTGW phenotype and CVD. A meta-analysis was conducted to incorporate the results of the current study and the previous-related studies on the association of HTGW phenotype and CVD. In the present cohort study, compared to the NTNW phenotype, those with NTGW (Hazard ratios ( Conclusion: The HTGW phenotype was associated with the increased risk of CVD, independently of established risk factors. A simple assessment of HTGW phenotypes might help to identify individuals with a high risk of developing CVD.

Indexed as

cardiovascular diseasecardiovascular riskhypertriglyceridemicmetabolismobesity

Identifiers

PMID35990944
PMCPMC9386422
OpenAlexW4289745312

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.