Evidence map›Paper›PMID 41011807›Full record

ArticlePathogens (Basel, Switzerland)2025

First Signs at Admission: Prognostic Value of Initial Proinflammatory Markers for Sepsis and Mortality in ICU Patients.

Fatma Aktaş, Yasemin Zer, Gülseren Elay, Mehmet Erinmez

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 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

4 authors.

Fatma AktaşDepartment of Medical Microbiology, Ersin Arslan Education and Research Hospital, Gaziantep 27090, Türkiye.
Yasemin ZerDepartment of Medical Microbiology, Faculty of Medicine, Gaziantep University, Gaziantep 27310, Türkiye.
Gülseren ElayDepartment of Internal Medicine, Faculty of Medicine, Gaziantep University, Gaziantep 27310, Türkiye.
Mehmet ErinmezDepartment of Medical Microbiology, Faculty of Medicine, Gaziantep University, Gaziantep 27310, Türkiye.ORCID 0000-0002-3570-3510

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a life-threatening condition and due to its non-specific symptoms, diagnosing sepsis and determining its severity remains difficult. Delays in recognizing sepsis can significantly increase mortality despite advances in antimicrobial therapy and resuscitation procedures. Biomarkers can help detect the presence and severity of sepsis, distinguish between types of infections, and evaluate treatment response. This prospective study aims to determine whether biomarker levels measured at the time of intensive care unit (ICU) admission can assist in the early prediction, diagnosis, and prognosis of sepsis and bacteremia. Blood samples were collected from 132 ICU patients upon admission and analyzed for CRP, IL-6, PCT, SAA, and endotoxin levels. Patients were monitored for sepsis development, blood culture results, and mortality. IL-6 levels demonstrated a significant association with prognosis and identified as an independent risk factor. CRP and PCT levels exhibit a significant effect on the development of sepsis in both univariate and multivariate analyses. Also, our study demonstrated that the presence of bacteremia in the initial blood sample taken from intensive care patients holds significant diagnostic and prognostic value even without waiting for species-level identification when combined with markers such as PCT, CRP, and IL-6.

Indexed as

BiomarkersSepsisAdultAgedAged, 80 and overBacteremiaC-Reactive ProteinFemaleHumansIntensive Care UnitsInterleukin-6MaleMiddle AgedPrognosisProspective StudiesBiomarkersC-Reactive ProteinInterleukin-6bacteremiabiomarkerproinflammatory markerssepsis

Identifiers

PMID41011807
PMCPMC12472384

What OpenQuestion holds

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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.