Evidence map›Paper›PMID 41555631›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2026

Nucleated Red Blood Cells for Predicting Mortality in Intensive Care Unit Patients With Sepsis.

Berkay Küçük, Eda Macit Aydın, Gül Meral Kocabeyoğlu, Murat Mehmet Sayın

Abstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2026. 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

4 authors.

Berkay KüçükDepartment of Intensive Care, Ankara Etlik City Hospital, Ankara, Turkey.ORCID 0000-0002-5166-1429
Eda Macit AydınDepartment of Intensive Care, Ankara Etlik City Hospital, Ankara, Turkey.ORCID 0000-0002-4607-4932
Gül Meral KocabeyoğluDepartment of Intensive Care, Ankara Etlik City Hospital, Ankara, Turkey.ORCID 0000-0002-7114-2431
Murat Mehmet SayınDepartment of Intensive Care, Ankara Etlik City Hospital, Ankara, Turkey.ORCID 0000-0003-3479-6185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The search for biomarkers to predict the clinical course and mortality of patients with sepsis in the intensive care unit (ICU) remains ongoing. In this study, we aimed to investigate the effectiveness of nucleated red blood cell (NRBC) count and percentage in predicting clinical outcomes and mortality in patients with sepsis monitored in the ICU. MATERIAL AND METHODS This retrospective study included 160 patients with sepsis who were followed in the ICU between March 2023 and March 2024 and stayed for more than 48 hours. Laboratory values and clinical outcomes were compared. RESULTS Eighty-one patients (50.625%) died. The Sequential Organ Failure Assessment and Acute Physiology and Chronic Health Evaluation II scores were higher, and the Glasgow Coma Scale scores were lower, in the mortality group (P<0.001 for all). NRBC counts at ICU admission, at discharge, and 48 hours before discharge were significantly higher in patients who died (P=0.029, P=0.004, and P=0.02, respectively). Receiver operating characteristic curve analysis revealed the highest area under the curve (AUC) for NRBC at discharge (AUC=0.631) with a cut-off of 10 NRBC/µL. NRBC at admission had an AUC of 0.6, with a cut-off value of 20 NRBC/µL and specificity of 0.848. CONCLUSIONS NRBC values, when combined with established scoring systems, may aid in guiding sepsis management. Future studies are needed to further evaluate the process and determine cut-off values.

Indexed as

ErythroblastsSepsisAgedAPACHEBiomarkersErythrocyte CountFemaleHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesROC CurveBiomarkers

Identifiers

PMID41555631
PMCPMC12833996

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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.