Evidence map›Paper›PMID 39853409›Full record

ArticleHerz2025

Predictive strength of inflammatory scores for in-hospital mortality in infective endocarditis.

Vedat Cicek, Almina Erdem, Sahhan Kilic, Burak Tay, Mustafa Kamil Yemis, Solen Taslicukur, Mustafa Oguz, Ahmet Oz, Murat Selcuk, Tufan Cinar and 1 more

Abstract read
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In one paragraph

Article in Herz, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Vedat CicekMachine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, 737 N. Michigan Avenue Suite 1600, 60611, Chicago, IL, USA. vedatacicek@gmail.com.
Almina ErdemSultan II. Abdülhamid Han Training and Research Hospital, Department of Cardiology, Health Sciences University, Istanbul, Turkey.
Sahhan KilicSultan II. Abdülhamid Han Training and Research Hospital, Department of Cardiology, Health Sciences University, Istanbul, Turkey.
Burak TayDepartment of Cardiology, Sancaktepe Sehit Prof. Dr. İlhan Varank Training and Research Hospıtal, Istanbul, Turkey.
Mustafa Kamil YemisDepartment of Cardiology, İstanbul Education and Research Hospital, Istanbul, Turkey.
Solen TaslicukurDepartment of Cardiology, İstanbul Education and Research Hospital, Istanbul, Turkey.
Mustafa OguzSultan II. Abdülhamid Han Training and Research Hospital, Department of Cardiology, Health Sciences University, Istanbul, Turkey.
Ahmet OzDepartment of Cardiology, İstanbul Education and Research Hospital, Istanbul, Turkey.
Murat SelcukDepartment of Cardiology, Sancaktepe Sehit Prof. Dr. İlhan Varank Training and Research Hospıtal, Istanbul, Turkey.
Tufan CinarSchool of Medicine, Department of Medicine, University of Maryland, Baltimore, USA.
Ulas BagciMachine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, 737 N. Michigan Avenue Suite 1600, 60611, Chicago, IL, USA.

Funding

Foundation for the National Institutes of Health CA240639Foundation for the National Institutes of Health R01-CA246704Foundation for the National Institutes of Health U01-CA268808Foundation for the National Institutes of Health U01-DK127384-02S1
6 · The paper itself

Abstract

backgroundInflammatory markers have been proposed as prognostic tools for predicting in-hospital mortality in infective endocarditis (IE). Nonetheless, it is unclear whether these markers provide additional prognostic value over established indicators. This study compared nine different inflammation scores to assess their effectiveness in enhancing the prediction of in-hospital mortality.

methodsPatients with IE diagnosed between 2017 and 2023 at two cardiology centers in Istanbul were included in this study. Pre-treatment inflammatory markers were obtained from the hospital electronic database system. In-hospital mortality prognostication was assessed using Cox proportional hazards models.

resultsA total of 122 patients who were diagnosed with IE were included in the analysis. Overall, 38 patients died during the hospital stay. The patients were categorized into two groups based on their mortality status. The prognostic nutritional index (PNI), platelet-to-lymphocyte ratio (PLR), and modified Glasgow prognostic score (mGPS) were identified as statistically significant predictors of in-hospital mortality. Based on the results of Cox regression analysis, the PNI (hazard ratio [HR]: 0.921, 95% confidence interval [CI]: 0.853-0.994, p = 0.035) emerged as the only independent predictor of in-hospital mortality of IE patients.

conclusionNine inflammatory scores were evaluated in this study. The PNI, PLR, and mGPS were statistically significant predictors of in-hospital mortality in patients with IE. The PNI was identified as the optimal score.

Indexed as

EndocarditisHospital MortalityInflammationAdultAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisReproducibility of ResultsRisk FactorsTurkeyBiomarkersInfective endocarditisInflammation scoreIn-hospital mortalityLaboratory parametersPrognostic Nutritional Index (PNI)

Identifiers

PMID39853409

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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.