Evidence map›Paper›PMID 40611124›Full record

ArticleBMC public health2025

Association between social risk profile, cardiovascular risk factors control, and future cardiovascular risk.

Yijing Xin, Siqi Lyu, Jingyang Wang, Yimeng Wang, Yuyuan Shu, Hanyang Liang, Yanmin Yang

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Yijing XinEmergency Center, State Key Laboratory of Cardiovascular Disease of China, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Siqi LyuEmergency Center, State Key Laboratory of Cardiovascular Disease of China, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Jingyang WangEmergency Center, State Key Laboratory of Cardiovascular Disease of China, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Yimeng WangEmergency Center, State Key Laboratory of Cardiovascular Disease of China, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Yuyuan ShuEmergency Center, State Key Laboratory of Cardiovascular Disease of China, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Hanyang LiangEmergency Center, State Key Laboratory of Cardiovascular Disease of China, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
Yanmin YangEmergency Center, State Key Laboratory of Cardiovascular Disease of China, National Center for Cardiovascular Diseases, National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China. yangymfw@163.com.

Funding

High level Hospital Clinical Research Funds 2022-GSP-GG-26
6 · The paper itself

Abstract

backgroundsThis study aimed to investigate the cross-sectional association between social risk profile (SRP) and the strict control of cardiovascular risk factors, and the prospective association between cardiovascular risk factors controlled and cardiovascular mortality in different SRP grades.

methodsData from 12,695 participants of the National Health and Nutrition Examination Surveys (NHANES) (2005-2018) were included in the analysis. Logistic analysis was performed to assess the relationships between SRP and the strict control of cardiovascular risk factors. Kaplan-Meier curves and Cox regression models were used to analyze the associations between the number of cardiovascular risk factors controlled and outcomes incidence in different SRP grades.

resultsCompared to individuals with low SRP, those with high SRP had greater odds of strict control of blood pressure (OR = 1.996, 95% CI: 1.733-2.299) and glucose (OR = 1.797, 95% CI: 1.556-2.074), but lower odds of lipid control (OR = 0.810, 95% CI: 0.717-0.915,). Controlling two or three risk factors significantly reduced all-cause and cardiovascular mortality risk compared to no controlled risk factors (P < 0.05).

conclusionsSRP grades were positively related to the strict control of blood pressure and glucose; and negatively related to the strict control of lipids. Controlling more risk factors is associated with a lower mortality risk. The lower the SRP grades, the greater the reduction in all-cause and cardiovascular mortality risk due to cardiovascular risk factor control.

Indexed as

Cardiovascular DiseasesHeart Disease Risk FactorsAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysProspective StudiesRisk FactorsCardiovascular diseaseFasting blood glucoseLow-density lipoprotein cholesterolSocial risk profileSystolic blood pressure

Identifiers

PMID40611124
PMCPMC12225056

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.