Evidence map›Paper›PMID 35402143›Full record

ArticleZeitschrift fur Gesundheitswissenschaften = Journal of public health2022

Gender differences in prevalence of myocardial infarction in rural West Texans.

Hafiz Khan, Drew Rasmussen, Lisaann Gittner, Aamrin Rafiq, Summre Blakely, Obadeh Shabaneh, P Hemachandra Reddy

Open access · bronzeAbstract read
In one paragraph

Article in Zeitschrift fur Gesundheitswissenschaften = Journal of public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  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 at 2 institutions in 1 country.

Hafiz KhanJulia Jones Matthews Department of Public Health, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
Drew RasmussenJulia Jones Matthews Department of Public Health, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
Lisaann GittnerJulia Jones Matthews Department of Public Health, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
Aamrin RafiqDepartment of Biology, Texas Tech University, Lubbock, TX 79409, USA.
Summre BlakelySchool of Medicine, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
Obadeh ShabanehJulia Jones Matthews Department of Public Health, Texas Tech University Health Sciences Center, Lubbock, TX 79430, USA.
P Hemachandra ReddyDepartment of Cell Biology and Biochemistry, Neuroscience/Pharmacology and Neurology, Texas Tech University Health Sciences Center, Lubbock, TX 79409, USA.
Texas Tech University · USTexas Tech University Health Sciences Center · US

Funding

Dynamin-Related Protein 1 and Mitochondrial Fragmentation in Alzheimer's DiseaseR01AG042178 · NIA · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI REDDY, P. HEMACHANDRA · 2012 to 2016
$2.0M
Voltage-Dependent Anion Channel and Neurodegeneration in Alzheimer's DiseaseR01AG047812 · NIA · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI REDDY, P. HEMACHANDRA · 2014 to 2018
$1.9M
Mitochondrial Fragmentation and Neurodegeneration in Huntington's DiseaseR01NS105473 · NINDS · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI REDDY, P. HEMACHANDRA · 2017 to 2021
$1.8M
Small Molecules as Therapeutic Targets for Alzheimer's DiseaseR56AG060767 · NIA · TEXAS TECH UNIVERSITY HEALTH SCIS CENTER · PI REDDY, P. HEMACHANDRA · 2019 to 2019
$699k
NIA NIH HHS R01 AG042178NIA NIH HHS R01 AG047812NIA NIH HHS R56 AG060767NINDS NIH HHS R01 NS105473
6 · The paper itself

Abstract

Background: Heart disease is the leading cause of death in the United States. Incidence rates of myocardial infarction (MI) in rural West Texas signify a lack of effective, risk-specific prevention programs. The purpose of this study was to identify gender-specific risk factors for MI in rural West Texans. Subjects and methods: Hospital patient data for those with and without a history of MI were obtained from the Project FRONTIER database for rural West Texas counties. We used statistical software, such as SPSS, R, and WinBUGS to detect and understand the nature of MI risk factors. Statistical methods including Results: MI significant risk factors obtained for females were systolic blood pressure ( Conclusions: Gender-specific differences in MI risk factors exist, and incorporating such variables can guide relevant policymaking to reduce MI incidence in rural West Texans.

Indexed as

FRONTIER databaseGender differencesMyocardial infarctionRural West TexasStatistical methods

Identifiers

PMID35402143
PMCPMC8991801
OpenAlexW3026333876

What OpenQuestion holds

Textmetadata
LicenceTDM
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.