Evidence map›Paper›PMID 35871108›Full record

ArticleActa diabetologica2022

Remnant cholesterol for the detection of glucose metabolic states in patients with coronary heart disease angina pectoris.

Yang Wang, Yijia Liu, Rongrong Yang, Zhu Li, Jinyu Su, Tong Yang, Mei Ma, Guangwei Pan, Xianliang Wang, Lin Li and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Acta diabetologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

11 authors at 1 institution in 1 country.

Yang WangTianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Yijia LiuTianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Rongrong YangTianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Zhu LiTianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Jinyu SuTianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Tong YangTianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Mei MaTianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Guangwei PanTianjin University of Traditional Chinese Medicine, Tianjin, 301617, China.
Xianliang WangFirst Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300381, China. xlwang1981@126.com.
Lin LiTianjin University of Traditional Chinese Medicine, Tianjin, 301617, China. llbianji@163.com.
Chunquan YuTianjin University of Traditional Chinese Medicine, Tianjin, 301617, China. ycqtjutcm@foxmail.com.ORCID http://orcid.org/0000-0002-0409-6762
Tianjin University of Traditional Chinese Medicine · CN

Funding

National Basic Research Program of China 2014CB542902
6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the relationship between remnant cholesterol (RC) and glucose metabolic states in coronary heart disease (CHD) patients with angina pectoris.

methodsThis study collected data from 11,557 CHD patients with angina pectoris aged 35-75 years in Tianjin, China. Participants were divided into normal glucose regulation (NGR), prediabetes (Pre-DM) and diabetes mellitus (DM) groups according to glucose metabolic states. Linear regression analysis was used to explore the relationship between glucose metabolism [fasting blood glucose (FBG) and glycated hemoglobin (HbA1c)] and RC levels. Logistic regression was performed to analyze the relationship between RC levels and glucose metabolic states.

resultsAmong all participants, 5883 (50.9%) had a DM state and 4034 (34.9%) had a Pre-DM state. FBG levels and HbA1c levels were positively related with RC in all patients (P < 0.001). NGR was used as a reference, multi-adjusted model showing that RC level was significantly associated with Pre-DM [Odds ratio (OR): 1.37; 95% confidence interval (CI) 1.19-1.56; P < 0.001] and DM state (OR:1.47; 95% CI 1.29-1.67; P < 0.001). When considering RC as categorical variables (tertiles), using T1 as a reference, T3 had the strongest relationship between RC levels and Pre-DM and DM state in univariate model and multivariate model. In the stratified analyses, the association between RC levels and pre-DM and DM in women was higher than that in men, and the elderly patients was higher than in the middle-aged patients.

conclusionThe study demonstrated a significant association between RC levels and pre-DM and DM state among CHD patients with angina pectoris, and the relationship was stronger in women and elderly patients.

Indexed as

Coronary DiseasePrediabetic StateAgedAngina PectorisBlood GlucoseCholesterolFemaleGlucoseGlycated HemoglobinHumansMaleMiddle AgedRisk FactorsBlood GlucoseCholesterolGlucoseGlycated HemoglobinAngina pectorisCoronary heart diseaseDiabetes mellitusGlucose metabolic statesPrediabetesRemnant cholesterol

Identifiers

PMID35871108
OpenAlexW4286779972

What Socratic holds

Textmetadata
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 Socratic graph.