Evidence map›Paper›PMID 35669362›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

Utility of Non-High-Density Lipoprotein Cholesterol to High-Density Lipoprotein Cholesterol Ratio in Evaluating Incident Diabetes Risk.

Guotai Sheng, Dingyang Liu, Maobin Kuang, Yanjia Zhong, Shuhua Zhang, Yang Zou

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 1 pooled it
19.7field-weighted citation impact, top 1% 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

105 citing papers in PubMed, 1 synthesis or guideline pooled it, 151 citations in OpenAlex.

  1. Pooled it
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  9. Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and cognitive impairment in middle-aged and elderly Chinese population.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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  18. Atherosclerosis index and diabetic foot ulcers: an NHANES database investigation.International journal of surgery (London, England) · 2025
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  20. Article

45 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Guotai Sheng *Cardiology Department, Jiangxi Provincial People's Hospital, Nanchang, Jiangxi Provincial, 330006, People's Republic of China.ORCID 0000-0001-5298-4724
Dingyang Liu *Cardiology Department, Jiangxi Provincial People's Hospital, Nanchang, Jiangxi Provincial, 330006, People's Republic of China.
Maobin Kuang *Cardiology Department, Jiangxi Provincial People's Hospital, Nanchang, Jiangxi Provincial, 330006, People's Republic of China.
Yanjia ZhongEndocrinology Department, Jiangxi Provincial People's Hospital, Nanchang, Jiangxi Province, 330006, People's Republic of China.
Shuhua ZhangJiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, Nanchang, Jiangxi Provincial, People's Republic of China.
Yang ZouJiangxi Cardiovascular Research Institute, Jiangxi Provincial People's Hospital, Nanchang, Jiangxi Provincial, People's Republic of China.ORCID 0000-0002-9373-928X
Jiangxi Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Diabetes is one of the most prevalent chronic diseases in the world, and its prevalence is expected to rise further. To help understand the utility of the ratio of non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol (NHHR) in diabetes prevention, this large-scale longitudinal cohort study aims to explore the association of NHHR with diabetes risk and compare it as a risk predictor with conventional lipid parameters. Patients and Methods: This observational study extracted data from the NAGALA longitudinal cohort study conducted in Japan between 2004 and 2015. Multivariate Cox regression analysis was used to evaluate the association between NHHR and the risk of diabetes. The dose-response relationship was analyzed by restricted cubic spline (RCS) regression and the potential risk threshold was estimated. The receiver operator characteristic curve (ROC) was used to analyze and calculate the predictive value and optimal threshold of NHHR and other conventional lipids for new-onset diabetes. Results: Of the 15,464 people aged 18-79, 373 (2.41%) were diagnosed with new-onset diabetes during the study period, with a median age of 46 years. The sensitivity analysis based on multivariate adjustment showed that the independent positive correlation between diabetes and NHHR was stable in different populations. RCS and ROC analysis indicated that the association between NHHR and diabetes was non-linear, and the NHHR was a better marker for predicting diabetes risk than other conventional lipid parameters; Additionally, it is worth noting that an NHHR of approximately 2.74 may be the optimal threshold for intervention in diabetes risk. Conclusion: In the general population, NHHR is a better marker for predicting diabetes risk than conventional lipid parameters, and an NHHR of about 2.74 may be the optimal threshold for assessing diabetes risk.

Indexed as

diabeteslongitudinal cohortnon-high-density lipoprotein cholesterol to high-density lipoprotein cholesteroloperator characteristic curve

Identifiers

PMID35669362
PMCPMC9166911
OpenAlexW4282027750

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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.