Evidence map›Paper›PMID 41382177›Full record

ArticleTrials2025

Automated screening for clinically ascertained loss of cerebral functions in patients with severe brain injury-study protocol for a cluster-randomized interventional trial.

Daniela Schoene, Martin Roessler, Konrad Pleul, Sepp Hoehne, Anne Trabitzsch, Daniela Barnett, Andreas Guenzel, Hagen B Huttner, Martin Sedlmayr, Albrecht Günther and 2 more

Registry-linked trialAbstract readClinical Trial Protocol
In one paragraph

Article in Trials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06293170 (Automated Screening for Clinically Ascertained Loss of Cerebral Functions in Patients With Severe Brain Damage - an Interventional Cluster Randomized Trial), which is not on this map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

NCT06293170 nanot yet recruitingnot on this map

Automated Screening for Clinically Ascertained Loss of Cerebral Functions in Patients With Severe Brain Damage - an Interventional Cluster Randomized Trial (DETECT-IVE)

TypeinterventionalSponsorTechnische Universität DresdenRan2024 to 2026Enrolled4,800ConditionsIrreversible Loss of Brain Function (ILBF)ArmsDETECT, Conventional care
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

12 authors.

Daniela SchoeneDepartment of Neurology, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany.
Martin RoesslerDepartment of Neurology, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany.
Konrad PleulDeutsche Stiftung Organtransplantation (DSO), Frankfurt am Main, Germany.
Sepp HoehneInstitute for Medical Informatics and Biometry, Faculty of Medicine, University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
Anne TrabitzschFaculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Daniela BarnettInstitute for Medical Informatics and Biometry, Faculty of Medicine, University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
Andreas GuenzelInstitute for Medical Informatics and Biometry, Faculty of Medicine, University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
Hagen B HuttnerDepartment of Neurology, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany.
Martin SedlmayrInstitute for Medical Informatics and Biometry, Faculty of Medicine, University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
Albrecht GüntherDepartment of Neurology, University Hospital Jena, Jena, Germany.
Kristian BarlinnDepartment of Neurology, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307, Dresden, Germany. kristian.barlinn@ukdd.de.
DETECT-IVE Investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe low organ donation rate in Germany is associated with deficiencies in the identification of patients at risk of developing brain death. An automated digital clinical support system (DETECT) was designed to prospectively identify intensive care patients who are at risk of developing brain death. The objective of the study is to evaluate the effectiveness of DETECT in the detection of patients with severe brain injury who progress toward brain death compared to standard practice without DETECT.

methodsThe study will follow a multicentre, cluster-randomized, controlled design conducted at 19 sites in Germany over a 30-month period. The study will include patients aged ≥ 18 years with primary or secondary acute brain injury, requiring mechanical ventilation and death during hospital stay. DETECT periodically processes real-time data from the ICU information system to screen for a combination of coma and absent bilateral pupillary light reflexes-both considered early indicators of impending brain death. In the event of a positive screen, an automated notification will be sent to the designated transplant coordinators. The email is intended to prompt clinical assessment of the detected patient and, if necessary, initiate a guideline-based brain death evaluation. The primary endpoint is the identification of patients who develop brain death during hospitalization. Secondary endpoints encompass missed identification of potential brain death cases and deceased organ donations. Upon completion of the study, a survey will be conducted to investigate the stakeholders' experiences with DETECT. DISCUSSION: Findings will provide insights into the effectiveness of an automated digital support system for the detection of patients at risk of developing brain death and potential organ donors. Automation may enhance ICU workflow efficiency and timely decision-making in organ donation processes.

trial registrationClinicalTrials.gov NCT06293170. Registered on March 5, 2024.

Indexed as

Brain DeathBrain InjuriesDecision Support Systems, ClinicalAutomationGermanyHumansIntensive Care UnitsMulticenter Studies as TopicPredictive Value of TestsProspective StudiesRandomized Controlled Trials as TopicTime FactorsTissue and Organ ProcurementBrain deathBrain injuryDeath by neurologic criteriaDetectionOrgan donationScreening

Identifiers

PMID41382177
PMCPMC12802192

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Registered trials

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.