Evidence map›Paper›PMID 38629648›Full record

ArticleArquivos brasileiros de cardiologia2024

The Systemic Immune-Inflammation Index Predicts In-Hospital Mortality in Patients Who Underwent On-Pump Cardiac Surgery.

İnayet Güntürk, Rifat Ozmen, Okan Ozocak, Ertuğrul Emre Güntürk, Fatma Dagli, Cevat Yazici

Open access · diamondAbstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

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

  1. Pooled it
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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

6 authors at 3 institutions in 1 country.

İnayet GüntürkNigde Omer Halisdemir University, Faculty of Health Sciences, Midwifery, Nigde - Turquia.ORCID 0000-0002-8299-1359
Rifat OzmenErciyes University, Faculty of Medicine, Cardiovasculary Surgery, Kayseri - Turquia.
Okan OzocakErciyes University, Faculty of Medicine, Cardiovasculary Surgery, Kayseri - Turquia.
Ertuğrul Emre GüntürkAcibadem Hospitals Group - Cardiology, Istanbul - Turquia.
Fatma DagliCetin Sen Science and Art Center - Chemistry, Kayseri - Turquia.
Cevat YaziciErciyes University Faculty of Medicine, Clinical Biochemistry, Kayseri - Turquia.
Erciyes University · TRAcıbadem Adana Hospital · TRNiğde Ömer Halisdemir Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystemic immune-inflammation index (SII), a new inflammatory index calculated using platelet, neutrophil, and lymphocyte counts, has been demonstrated to be an independent risk factor for the identification of high-risk coronary artery disease in patients undergoing percutaneous coronary intervention and cardiovascular surgery with cardiopulmonary bypass (CPB). The relationship between SII and CPB-related mortality rates remains unclear.

objectiveThis research was designed to investigate the use of SII to predict in-hospital mortality in patients undergoing cardiac surgery with CPB.

methodsFour hundred eighty patients who underwent a cardiac procedure involving CPB over 3 years, were obtained from the hospital's database. The demographic data, comorbidities, hematological and biochemical profiles, and operative data of the groups were compared. Multiple logistic regression analyses were done to determine independent predictors of mortality. Prognostic factors were assessed by multivariate analysis, and the predictive values of SII, neutrophil-lymphocyte ratio (NLR), and platelet-lymphocyte ratio (PLR) for mortality were compared. A p-value <0.05 was considered significant.

resultsOf 480 patients, 78 developed in-hospital mortality after cardiac surgery. SII was an independent predictor of in-hospital mortality (Odds ratio: 1.003, 95% confidence interval: 1.001-1.005, p<0.001). The cut-off value of the SII was >811.93 with 65% sensitivity and 65% specificity (area under the curve: 0.690). The predictive values of SII, PLR, and NLR were close to each other.

conclusionHigh preoperative SII scores can be used for early determination of appropriate treatments, which may improve surgical outcomes of cardiac surgery in the future.

Indexed as

Cardiac Surgical ProceduresInflammationHospital MortalityHumansLymphocytesNeutrophilsPrognosisRetrospective Studies

Identifiers

PMID38629648
PMCPMC12092031
OpenAlexW4394873152

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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.