Evidence map›Paper›PMID 42542453›Full record

ReviewCommunications medicine2026

Systemic fragility in European total intravenous anesthesia delivery and opportunities for resilient real-time decision support.

Clara Ionescu, Erhan Yumuk, Michele Schiavo, Antonio Visioli, Massimiliano Paltenghi, Nicola Latronico, Bob Aubouin Pairault, Mirko Fiacchini, Kaouther Moussa, Cristina Muresan and 6 more

Abstract readReview
In one paragraph

Review in Communications medicine, 2026. 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

16 authors.

Clara IonescuResearch Group on Dynamical Systems and Control, Ghent University, Tech Lane Ghent Science Park 125, Ghent, Belgium.ORCID http://orcid.org/0000-0001-7685-035X
Erhan YumukResearch Group on Dynamical Systems and Control, Ghent University, Tech Lane Ghent Science Park 125, Ghent, Belgium.
Michele SchiavoDepartment of Mechanical and Industrial Engineering, University of Brescia, Brescia, Italy.ORCID http://orcid.org/0000-0002-3031-5535
Antonio VisioliDepartment of Mechanical and Industrial Engineering, University of Brescia, Brescia, Italy.
Massimiliano PaltenghiSpedali Civili di Brescia, Brescia, Italy.
Nicola LatronicoDipartimento di Specialità Medico-Chirurgiche, Scienze Radiologiche e Sanità Pubblica, University of Brescia, Brescia, Italy.ORCID http://orcid.org/0000-0002-2521-5871
Bob Aubouin PairaultControl Systems Department, UMR 8201-LAMIH, CNRS, University Polytechnic Hauts-De-France, Valenciennes, France.ORCID http://orcid.org/0000-0003-0029-438X
Mirko FiacchiniControl Systems Department, University Grenoble Alpes, Saint-Martin-d'Hères, France.
Kaouther MoussaControl Systems Department, UMR 8201-LAMIH, CNRS, University Polytechnic Hauts-De-France, Valenciennes, France.ORCID http://orcid.org/0000-0001-6917-6918
Cristina MuresanDepartment of Automation, Technical University of Cluj Napoca, Cluj-Napoca, Romania.
Isabela BirsResearch Group on Dynamical Systems and Control, Ghent University, Tech Lane Ghent Science Park 125, Ghent, Belgium.
Eva DulfDepartment of Automation, Technical University of Cluj Napoca, Cluj-Napoca, Romania.ORCID http://orcid.org/0000-0002-6540-6525
Teodora MocanDepartment of Physiology, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Lucian MocanDepartment of Surgery, 3-rd Surgery Clinic, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Robert SzaboAnesthesia and Intensive Care II Department, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Dana CopotResearch Group on Dynamical Systems and Control, Ghent University, Tech Lane Ghent Science Park 125, Ghent, Belgium. dana.copot@ugent.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Total intravenous anesthesia (TIVA) is a well-established technique for general anesthesia and is increasingly relevant to Europe's transition toward more digital, sustainable, and patient-centred healthcare. However, its use remains uneven across centres and still depends heavily on population-based drug models, variable monitoring practices, and repeated clinician adjustment. Differences in training, data access, device compatibility, patient response, and institutional resources can limit safe and consistent personalization. In this Review, we examine the main sources of fragility in current TIVA practice and discuss how interoperable perioperative data, digital patient simulators, patient-adaptive models, multimodal monitoring, and closed-loop decision support could improve safety and resilience. We emphasize that these technologies should support, not replace, the anesthesiologist, and should remain transparent, clinically supervised, and easy to override. We conclude by outlining priorities for European collaboration in data infrastructure, training, validation, regulation, and evaluation of AI-enabled tools.

Identifiers

PMID42542453
PMCPMC13428739

What OpenQuestion 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 OpenQuestion graph.