Evidence map›Paper›PMID 40970459›Full record

ArticleBiomarkers in medicine2025

Neutrophil percentage-to-albumin ratio as a predictor of In-hospital mortality in infective endocarditis.

Muhammet Mucahit Tiryaki, Cemalettin Yilmaz, Huseyin Sefa Ince, Banu Karaca, Fatma Kayaalti Esin, Tuncay Kiris

Abstract read
In one paragraph

Article in Biomarkers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Muhammet Mucahit TiryakiDepartment of Cardiology, Mus State Hospital, Mus, Turkiye.ORCID 0000-0003-4882-9072
Cemalettin YilmazDepartment of Cardiology, Yalova University, Yalova, Turkiye.ORCID 0000-0003-4140-9139
Huseyin Sefa InceDepartment of Cardiology, Izmir Katip Celebi University, Izmir, Turkiye.ORCID 0009-0008-5636-0933
Banu KaracaDepartment of infectious diseases, Izmir Katip Celebi University, Izmir, Turkiye.ORCID 0000-0003-1470-356X
Fatma Kayaalti EsinDepartment of Cardiology, Izmir Katip Celebi University, Izmir, Turkiye.
Tuncay KirisDepartment of Cardiology, Izmir Katip Celebi University, Izmir, Turkiye.ORCID 0000-0001-9793-718X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfective endocarditis (IE) remains a life-threatening condition despite treatment advances. Early identification of high-risk patients is essential. The neutrophil percentage-to-albumin ratio (NPAR) is a novel inflammatory marker linked to poor outcomes in various diseases, but its prognostic value in IE remains unclear. This study aimed to investigate the association between NPAR and in-hospital mortality in patients with IE.

methodsWe retrospectively analyzed 263 patients diagnosed with IE between January 2009 and January 2024 at a tertiary care center. Clinical, laboratory, and echocardiographic data were collected. NPAR was calculated as (Neutrophil %/Albumin [g/dL]). Predictors of mortality were identified using LASSO-based logistic regression, and a nomogram was constructed to illustrate predictive performance.

resultsIn-hospital mortality occurred in 59 patients (22.4%). NPAR was significantly higher among non-survivors (median: 0.335 vs. 0.228,

conclusionHigh NPAR was an independent predictor of in-hospital mortality in IE and may serve as a simple, cost-effective biomarker for early risk stratification.

Indexed as

EndocarditisHospital MortalityNeutrophilsAdultAgedBiomarkersFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesBiomarkersendocarditisinfective endocarditismortalityneutrophil percentage-to-albumin ratioNPAR

Identifiers

PMID40970459
PMCPMC12477859

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.