Evidence map›Paper›PMID 37692618›Full record

ArticleCureus2023

The Prognostic Value of Inflammatory Indices in Predicting Poor Postoperative Outcomes in Isolated Coronary Artery Bypass Graft Surgery.

Sameh Alagha, Ökkeş H Miniksar, Muhammed N Polat, Mehmet Kara, Yeşim Şenaylı

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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. Article
  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

5 authors.

Sameh AlaghaDepartment of Cardiovascular Surgery, Yozgat Bozok University, Yozgat, TUR.
Ökkeş H MiniksarDepartment of Anesthesiology and Reanimation, Yozgat Bozok University, Yozgat, TUR.
Muhammed N PolatDepartment of Anesthesiology and Reanimation, Yozgat Bozok University, Yozgat, TUR.
Mehmet KaraDepartment of Anesthesiology and Reanimation, Yozgat Bozok University, Yozgat, TUR.
Yeşim ŞenaylıDepartment of Anesthesiology and Reanimation, Yozgat Bozok University, Yozgat, TUR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to analyze the predictive effect of various inflammatory indices and inflammatory biomarkers on prognosis after coronary artery bypass grafting (CABG).

methodsIn this retrospective observational study, data were recorded from 99 patients who underwent isolated elective CABG between January 2019 and June 2021 and met the inclusion criteria. The patients were divided into two main groups according to the postoperative clinical results: "favorable outcome" and "poor outcome." Preoperative inflammatory parameters, inflammatory indices (such as systemic inflammation index (SII), neutrophil/lymphocyte ratio (NLR), derived NLR (dNLR)), and clinical variables were compared between the groups.

resultsPoor postoperative outcomes developed in 31 (31.3%) patients. In the univariate analysis, white blood cell count (p=0.008), neutrophil count (p=0.002), SII (p=0.018), NLR (p=0.003), and dNLR (p=0.003) were found to be significant predictors for poor outcomes. In the multivariate analysis, only the presence of chronic obstructive pulmonary disease (COPD) (OR=8.765; 95% CI 1.308-58.702; p=0.025) and high creatinine levels (OR=1.049; 95% CI 1.005-1.094; p=0.027) were independent risk factors for poor outcomes. Optimal cut-off values were 603.08 (areas under the curve (AUC)=0.632, p=0.036) for SII, 2.34 (AUC=0.669, p=0.007) for NLR, and 1.76 (AUC=0.667, p=0.008) for dNLR.

conclusionSII, NLR, dNLR, and inflammatory markers, such as white blood cell and neutrophil counts, are feasible markers for predicting poor outcomes following CABG procedures. These parameters may aid in the development of early therapeutic interventions to improve patient outcomes.

Indexed as

biomarkerchronic obstructive pulmonary diseasecoronary artery bypasscreatinineinflammation

Identifiers

PMID37692618
PMCPMC10483436

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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.