Evidence map›Paper›PMID 31519666›Full record

ArticleBMJ open2019

Association between diabetes, metabolic syndrome and heart attack in US adults: a cross-sectional analysis using the Behavioral Risk Factor Surveillance System 2015.

Guang-Ran Yang, Timothy D Dye, Dongmei Li

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Circulating Cardiac Biomarkers in Diabetes Mellitus: A New Dawn for Risk Stratification-A Narrative Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2020
    Review
  6. 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

3 authors at 2 institutions in 2 countries.

Guang-Ran YangDepartment of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China gr.yang@ccmu.edu.cn Dongmei_li@URMC.rochester.edu.ORCID 0000-0002-2919-5564
Timothy D DyeClinical and Translational Science Institute, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA.
Dongmei LiClinical and Translational Science Institute, School of Medicine and Dentistry, University of Rochester, Rochester, New York, USA gr.yang@ccmu.edu.cn Dongmei_li@URMC.rochester.edu.
University of Rochester · USBeijing Tongren Hospital · CN

Funding

The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
The University of Rochester's Clinical and Translational Science InstituteUL1TR000042 · NCATS · UNIVERSITY OF ROCHESTER · PI BENNETT, NANCY M, KIEBURTZ, KARL D. · 2012 to 2015
$14.4M
NCATS NIH HHS UL1 TR000042NCATS NIH HHS UL1 TR002001
6 · The paper itself

Abstract

objectivesDiabetes mellitus (DM) and metabolic syndrome (MS) are both associated with heart attack. Evidence regarding which condition-MS or DM-is better associated with heart attack, however, is limited. The purpose of this study is to examine DM and MS, and their comparative associations with heart attack, using the 2015 Behavioral Risk Factor Surveillance System (BRFSS).

designCross-sectional study.

methodsA total of 332 008 subjects aged over 18 years were included in the analysis. All subjects were classified into four groups based on their DM and MS status: neither DM nor MS, DM without MS, MS without DM, and both DM and MS. A weighted hierarchical logistic regression was used to examine the difference between the four groups in their association with the risk of a heart attack.

resultsDifferences in weighted frequency distributions of gender, age category (over 45 years or not), smoking status, education, race, physical activity and daily vegetable and fruit consumption were significantly different across the four groups (p<0.05). The weighted prevalence of heart attack was 5.2% for neither DM nor MS group, 8.5% for DM without MS group, 11.0% for MS without DM group and 16.1% for both DM and MS group. The weighted prevalence of heart attack in MS without DM group was significantly higher than that in the DM without MS group (p<0.01). After adjusting for confounding variables, DM without MS and MS without DM were both found to be independently associated with heart attack compared with those without DM nor MS (DM without MS, OR=2.09; MS without DM, OR=2.58, all p<0.01).

conclusionThe BRFSS 2015 data indicated that MS without DM and DM without MS had comparable effects on heart attack, and the odds of risk are doubled than US adults with neither DM nor MS.

Indexed as

Behavioral Risk Factor Surveillance SystemAdultAgedComorbidityCross-Sectional StudiesDiabetes MellitusFemaleHumansMaleMetabolic SyndromeMiddle AgedMyocardial InfarctionPrevalenceRisk AssessmentRisk FactorsUnited Statesdiabetesheart attackmetabolic syndrome

Identifiers

PMID31519666
PMCPMC6747668
OpenAlexW2973007919

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.