Evidence map›Paper›PMID 41583950›Full record

ArticleJournal of global infectious diseases

Evaluation of the Diagnostic Performance of Interleukin-6, C-reactive Protein, and Soluble Triggering Receptor Expressed on Myeloid Cells

Eka Khuchua, Tamar Didbaridze, Nino Gvajaia, Vasil Kupradze, Giorgi Ormotsadze, Tamar Sanikidze, Nino Intskirveli, Elene Pachkoria, Tamar Megrelishvili, Levan Ratiani

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In one paragraph

Article in Journal of global infectious diseases. 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. Review
  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

10 authors.

Eka KhuchuaDepartment of Anesthesiology and Reanimatology, The First University Clinic of Tbilisi State Medical University, Tbilisi, Georgia.
Tamar DidbaridzeDepartment of Microbiology, The First University Clinic of Tbilisi State Medical University, Tbilisi, Georgia.
Nino GvajaiaDepartment of Medicine, Tbilisi State Medical University, Tbilisi, Georgia.
Vasil KupradzeDepartment of Medicine, Tbilisi State Medical University, Tbilisi, Georgia.
Giorgi OrmotsadzeDepartment of Problem of Radiation Safety, Ivane Beritashvili Center of Experimental Biomedicine, Tbilisi, Georgia.
Tamar SanikidzeDepartment of Physics, Biophysics, Biomechanics and Informational Technologies, Tbilisi State Medical University, Tbilisi, Georgia.
Nino IntskirveliDepartment of Physics, Biophysics, Biomechanics and Informational Technologies, Tbilisi State Medical University, Tbilisi, Georgia.
Elene PachkoriaDepartment of Infectious Diseases, The First University Clinic of Tbilisi State Medical University, Tbilisi, Georgia.
Tamar MegrelishviliDepartment of Infectious Diseases, The First University Clinic of Tbilisi State Medical University, Tbilisi, Georgia.
Levan RatianiDepartment of Anesthesiology and Reanimatology, The First University Clinic of Tbilisi State Medical University, Tbilisi, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Differentiating candidemia from bacteremia in intensive care unit (ICU) patients is critical for effective treatment but is often delayed by reliance on conventional diagnostics like blood cultures. This study evaluates the diagnostic utility of interleukin-6 (IL-6), C-reactive protein (CRP), and soluble triggering receptor expressed on myeloid cells Methods: This prospective observational study included 74 ICU patients with BSIs admitted to a university-affiliated hospital between September 2023 and August 2024. Biomarker levels were measured on the 2 Results: Of the 74 patients, 54 (72.9%) had bacteremia and 20 (27.1%) had candidemia. IL-6 and sTREM-1 levels were significantly higher in candidemia ( Conclusions: IL-6 and sTREM-1 are effective biomarkers for distinguishing candidemia from bacteremia, with CRP providing additional value in a multibiomarker model. This approach may enhance diagnostic precision and improve clinical decision-making in ICU settings.

Indexed as

Bacteremiabiomarkerscandidemiaintensive care unit patientssepsis

Identifiers

PMID41583950
PMCPMC12826643

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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.