Evidence map›Paper›PMID 40997262›Full record

ArticleShock (Augusta, Ga.)2026

Blood Biomarker and Raman Analysis of Leukocytes in the Multicenter Intelligence Trials: At the Intensive Care Unit (Intelligence-1) and the Emergency Department (Intelligence-2).

Evangelos J Giamarellos-Bourboulis, Daniel Thomas-Rüddel, Aikaterini Pistiki, Anuradha Ramoji, Oleg Ryabchykov, Kazi Sultana Farhana Azam, Konstantinos Toutouzas, Athanasios Prekates, Stylianos Karatzas, Christos Mathas and 17 more

Abstract readMulticenter Study
In one paragraph

Article in Shock (Augusta, Ga.), 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. Review
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

27 authors.

Evangelos J Giamarellos-BourboulisFourth Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Daniel Thomas-RüddelCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Aikaterini PistikiFourth Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Anuradha RamojiCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Oleg RyabchykovInstitute for Physical Chemistry, Abbe Center of Photonics, Friedrich Schiller University, Jena, Germany.
Kazi Sultana Farhana AzamInstitute for Physical Chemistry, Abbe Center of Photonics, Friedrich Schiller University, Jena, Germany.
Konstantinos ToutouzasFirst Department of Propedeutic Surgery, National and Kapodistrian University of Athens, Medical School, Athens, Greece.
Athanasios PrekatesIntensive Care Unit, Tzaneion General Hospital, Piraeus, Greece.
Stylianos KaratzasIntensive Care Unit, Ippokration General Hospital, Athens, Greece.
Christos MathasIntensive Care Unit, Aghia Olga Konstantopouleion General Hospital, Athens, Greece.
Antigone KotsakiFourth Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Stamatios ChalvatzisFourth Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Nikolaos AntonakosFourth Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Georgia DamorakiFourth Department of Internal Medicine, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
Jan RügerLeibniz Institute of Photonic Technology (Leibniz-IPHT), Member of Leibniz Research Alliance "Health Technologies," and member of the Leibniz Centre for Photonics in Infection Research (LPI), Jena, Germany.
Florian KnorrLeibniz Institute of Photonic Technology (Leibniz-IPHT), Member of Leibniz Research Alliance "Health Technologies," and member of the Leibniz Centre for Photonics in Infection Research (LPI), Jena, Germany.
Natalie ArendLeibniz Institute of Photonic Technology (Leibniz-IPHT), Member of Leibniz Research Alliance "Health Technologies," and member of the Leibniz Centre for Photonics in Infection Research (LPI), Jena, Germany.
Anja SilgeLeibniz Institute of Photonic Technology (Leibniz-IPHT), Member of Leibniz Research Alliance "Health Technologies," and member of the Leibniz Centre for Photonics in Infection Research (LPI), Jena, Germany.
Iwan SchieLeibniz Institute of Photonic Technology (Leibniz-IPHT), Member of Leibniz Research Alliance "Health Technologies," and member of the Leibniz Centre for Photonics in Infection Research (LPI), Jena, Germany.
Jesper Eugen-OlsenDepartment of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Copenhagen, Denmark.
Thomas BocklitzInstitute for Physical Chemistry, Abbe Center of Photonics, Friedrich Schiller University, Jena, Germany.
Michael BauerCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Johannes WinningCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Michael KiehntopfCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Jürgen PoppInstitute for Physical Chemistry, Abbe Center of Photonics, Friedrich Schiller University, Jena, Germany.
Frank BloosCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.
Ute NeugebauerCenter for Sepsis Control and Care (CSCC), Jena University Hospital, Jena, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis, defined as life-threatening organ dysfunction caused by a dysregulated host response to infection, goes along with a complex and not yet fully understood host response. Despite many different biomarkers, optimal screening tools to identify patients with sepsis are still needed. In a previous, single-center clinical trial with well-defined and well-separated patient cohorts, a new biophotonic marker based on the Raman spectroscopic characterization of leukocytes showed added value to stratify patients and identify infection and sepsis.

resultsIn the INTELLIGENCE studies, 279 patients from six centers in two countries were analyzed, and the Raman spectra of ~1500 leukocytes per patient were measured within only 1 hour. This marks a huge step from bench to bedside regarding usability and technology readiness level of Raman spectroscopy in multicentre clinical trials. With a discriminatory power comparable to individual conventional biomarkers (C-reactive protein, procalcitonin, interleukin-6, and soluble urokinase-type plasminogen activator receptor), the Raman score of leukocytes could not provide added value to the clinical discrimination of sepsis in the INTELLIGENCE-1 study cohorts of intensive care patients with infections. When translating the classification model from INTELLIGENCE-1 to the heterogeneous patient cohort recruited at the emergency department of the double-blinded INTELLIGENCE-2 trial, the Raman score failed to provide added value.

conclusionsIn theory, Raman assessment of leukocytes might still be a promising tool for sepsis diagnosis and patient stratification, but there is more basic, translational, and clinical research needed to refine its usability and clinical role, probably also taking questions of the pathophysiology of the dysregulated host response for a phenotype stratification into account.

Indexed as

BiomarkersLeukocytesSepsisSpectrum Analysis, RamanAgedC-Reactive ProteinEmergency Service, HospitalFemaleHumansIntensive Care UnitsInterleukin-6MaleMiddle AgedBiomarkersC-Reactive ProteinInterleukin-6biomarkersdiagnostic algorithmemergency departmentintensive care unitleukocytesRaman spectroscopysepsis

Identifiers

PMID40997262
PMCPMC12757122

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.