Evidence map›Paper›PMID 31410401›Full record

ArticleAdvanced journal of emergency medicine2019

The Relationship Between Premature Myocardial Infarction with TC/HDL-C Ratio Subgroups in a Multiple Risk Factor Model.

Zinat Nadia Hatmi, Nasrin Jalilian, Ali Pakravan

Open access · greenAbstract read
In one paragraph

Article in Advanced journal of emergency medicine, 2019. 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
0.5field-weighted citation impact, top 32% 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, 5 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

3 authors at 2 institutions in 2 countries.

Zinat Nadia HatmiDepartment of Preventive Medicine, Medical School, Tehran University of Medical Sciences, Tehran, Iran.
Nasrin JalilianDepartment of Obstetrics and Gynecology, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Ali PakravanInstitute of National Insurance, Tehran, Iran.
Kermanshah University of Medical Sciences · IRMedical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSo far, there is no evidence available to demonstrate the relationship between five subgroups of total cholesterol/high density lipoprotein cholesterol (TC/HDL-C) ratio with premature myocardial infarction (MI).

objectiveWe conducted a case control study to probe more features of the relation between TC/HDL-C ratio and the five subgroups of the ratio with myocardial infarction under 55 years and above it.

methodA hospital based case control study with incident cases was designed. Cases and controls were comprised of 523 under 55-year and 699 above 55-year documented newly diagnosed MI cases, respectively. Standardized clinical and para clinical method were used to ascertain disease and risk factors. Independent sample t-test, Pearson chi square test, Odds ratios and Mantel-Haenszel test and logistic regression analysis conducted to evaluate relationships.

resultsThis study enrolled 1222 MI cases. Patients with very low risk category of TC/HDL-C ratio estimated OR=0.18 with 95% confidence interval (CI) (0.04-0.72) for developing MI under 55 years. Patients who had low risk category of TC/HDL-C ratio having OR=0.26 95% CI (0.07-0.89). Low risk and very low risk categories of the TC/HDL-C ratio compare to high risk subgroup of the ratio demonstrate decreased risk of developing MI under 55 years p<0.05.

conclusionOur study results can be translated as an aggressive treatment for lowering TC/HDL-C ratio in both general population and victims of coronary events. Mitigation of the level of TC/HDL-C ratio from low risk to very low risk category will attenuate the risk of MI under55 years about 8% which is the immediate clinical implication of our findings.

Indexed as

AlgorithmsCoronary Artery DiseaseLipidsMyocardial InfarctionRisk

Identifiers

PMID31410401
PMCPMC6683591
OpenAlexW2950971090

What OpenQuestion holds

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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.