Evidence map›Paper›PMID 36457989›Full record

ArticleArchives of medical science : AMS2022

Fidel Antonio Casillas, Diana Emilia Martínez Fernández, Yeminia Valle, Maricela Aceves Ramírez, Brenda Parra-Reyna, Salvador Sarabia Pulido, Cesar Manuel Guzmán Sánchez, Héctor Enrique Flores Salinas, Francisco Muñoz Valle, Jorge Ramón Padilla Gutiérrez

Open access · goldAbstract read
In one paragraph

Article in Archives of medical science : AMS, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

7 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  6. Review
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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

10 authors at 2 institutions in 1 country.

Fidel Antonio CasillasInstituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico.
Diana Emilia Martínez FernándezInstituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico.
Yeminia ValleInstituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico.
Maricela Aceves RamírezInstituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico.
Brenda Parra-ReynaInstituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico.
Salvador Sarabia PulidoEspecialidad en Cardiología, Unidad Médica de Alta Especialidad, Centro Médico Nacional de Occidente (CMNO), Guadalajara, Jalisco, Mexico.
Cesar Manuel Guzmán SánchezEspecialidad en Cardiología, Unidad Médica de Alta Especialidad, Centro Médico Nacional de Occidente (CMNO), Guadalajara, Jalisco, Mexico.
Héctor Enrique Flores SalinasEspecialidad en Cardiología, Unidad Médica de Alta Especialidad, Centro Médico Nacional de Occidente (CMNO), Guadalajara, Jalisco, Mexico.
Francisco Muñoz ValleInstituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico.
Jorge Ramón Padilla GutiérrezInstituto de Investigación en Ciencias Biomédicas, Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara (UdG), Guadalajara, Mexico.
Universidad de Guadalajara · MXMexican Social Security Institute · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The increased risk of myocardial infarction (MI) in type 2 diabetes mellitus (T2DM) is well documented. Polymorphisms in Material and methods: We studied 135 patients with DMT2 and MI (DI); another 85 non-infarcted diabetic individuals with DMT2 but without previous ischemic events (NID) and 242 healthy subjects (HS). All three groups were selected with the aim to investigate the association between the polymorphisms and infarction when T2DM is present or absent. Results: -75 G>A polymorphism: Differences were found in genotype distribution between DI and NID individuals (OR = 2.01, 95% CI: 1.117-3.623, Conclusions: The -75 G>A

Indexed as

apolipoproteinslipidsmyocardial infarctiontype 2 diabetes mellitus

Identifiers

PMID36457989
PMCPMC9710253
OpenAlexW3141026146

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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.