Evidence map›Paper›PMID 38345664›Full record

ArticleThe international journal of cardiovascular imaging2024

Systemic immune- inflammation index predicts post-MI left ventricular remodeling.

Haci Ali Kurklu, Turkan Seda Tan

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Article in The international journal of cardiovascular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 6 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Haci Ali KurkluDepartment of Cardiovascular Medicine, Ankara Etlik Research Hospital, Ankara, Turkey.
Turkan Seda TanDepartment of Cardiovascular Medicine, Ankara University School of Medicine, Cebeci Kalp Merkezi, Mamak, Ankara, Turkey. tsedatan@gmail.com.ORCID http://orcid.org/0000-0002-9349-3371
Ankara University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPrevious studies demonstrated that remodeling after successful percutaneous coronary intervention (PCI) depends on the inflammatory response triggered by myocardial infarction (MI). The systemic immune-inflammation index (SII) is a novel inflammation index strongly associated with coronary artery disease. In our study, we sought to determine whether SII could predict Post-MI LV remodeling. METHODS AND

resultsThe study population included 528 patients (mean age 62.5 ± 10.2, 73% male) diagnosed with STEMI. Based on the increase in LVEDV within the first 12 months after STEMI, patients were divided into two groups. We categorized the ≥ 20% increase in LVEDV among remodelers (257 patients, 49%), and the other 271 patients (51%), as non-remodelers. To determine the relationship between laboratory parameters and LV remodeling, univariate and multivariate logistic regression models were used. In a univariate model, higher hs-CRP and SII values were associated with increased LVEDV. In a multivariate analysis, SII independently correlated with LV remodeling A cut-off value of 613.3 or higher for SII was significantly correlated with LV remodeling based on ROC analysis.

conclusionSII provides an easy-to-calculate and affordable biomarker for cardiovascular diseases. It may be used as a new biomarker to predict LV remodeling in patients with STEMI.

Indexed as

BiomarkersInflammationInflammation MediatorsPercutaneous Coronary InterventionPredictive Value of TestsST Elevation Myocardial InfarctionVentricular Function, LeftVentricular RemodelingAgedC-Reactive ProteinFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsBiomarkersC-Reactive ProteinInflammation MediatorsAcute coronary syndromeCoronary artery diseaseLeft ventricle remodeling. Systemic immune-inflammation index

Identifiers

PMID38345664
OpenAlexW4391754245

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Registered trials

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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.