Evidence map›Paper›PMID 35566534›Full record

ReviewJournal of clinical medicine2022

Real-Time Monitoring of Blood Parameters in the Intensive Care Unit: State-of-the-Art and Perspectives.

Rebecca Bockholt, Shaleen Paschke, Lars Heubner, Bergoi Ibarlucea, Alexander Laupp, Željko Janićijević, Stephanie Klinghammer, Sascha Balakin, Manfred F Maitz, Carsten Werner and 3 more

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Smart Catheters for Diagnosis, Monitoring, and Therapy.Advanced healthcare materials · 2026
    Review
  2. Review
  3. Article
  4. 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

13 authors.

Rebecca BockholtDepartment of Anesthesiology and Critical Care Medicine, University Hospital Carl Gustav Carus, 01309 Dresden, Germany.
Shaleen PaschkeDepartment of Anesthesiology and Critical Care Medicine, University Hospital Carl Gustav Carus, 01309 Dresden, Germany.
Lars HeubnerDepartment of Anesthesiology and Critical Care Medicine, University Hospital Carl Gustav Carus, 01309 Dresden, Germany.ORCID 0000-0003-0522-564X
Bergoi IbarluceaElse Kröner-Fresenius Center for Digital Health (EKFZ), Technische Universität Dresden (TU Dresden), 01309 Dresden, Germany.ORCID 0000-0002-9899-1409
Alexander LauppDepartment of Anesthesiology and Critical Care Medicine, University Hospital Carl Gustav Carus, 01309 Dresden, Germany.
Željko JanićijevićElse Kröner-Fresenius Center for Digital Health (EKFZ), Technische Universität Dresden (TU Dresden), 01309 Dresden, Germany.ORCID 0000-0002-9494-9529
Stephanie KlinghammerInstitute for Materials Science and Max Bergmann Center of Biomaterials, Center for Advancing Electronics Dresden, Technische Universität Dresden, 01069 Dresden, Germany.ORCID 0000-0002-9230-1147
Sascha BalakinElse Kröner-Fresenius Center for Digital Health (EKFZ), Technische Universität Dresden (TU Dresden), 01309 Dresden, Germany.ORCID 0000-0001-6169-8746
Manfred F MaitzLeibniz-Institut für Polymerforschung Dresden e.V., 01069 Dresden, Germany.ORCID 0000-0002-0671-048X
Carsten WernerLeibniz-Institut für Polymerforschung Dresden e.V., 01069 Dresden, Germany.
Gianaurelio CunibertiElse Kröner-Fresenius Center for Digital Health (EKFZ), Technische Universität Dresden (TU Dresden), 01309 Dresden, Germany.ORCID 0000-0002-6574-7848
Larysa BarabanElse Kröner-Fresenius Center for Digital Health (EKFZ), Technische Universität Dresden (TU Dresden), 01309 Dresden, Germany.ORCID 0000-0003-1010-2791
Peter Markus SpiethDepartment of Anesthesiology and Critical Care Medicine, University Hospital Carl Gustav Carus, 01309 Dresden, Germany.ORCID 0000-0003-3953-3253

Funding

Else Kröner-Fresenius-Stiftung EKFZ for Digital Health Dresden IIP Fund
6 · The paper itself

Abstract

The number of patients in intensive care units has increased over the past years. Critically ill patients are treated with a real time support of the instruments that offer monitoring of relevant blood parameters. These parameters include blood gases, lactate, and glucose, as well as pH and temperature. Considering the COVID-19 pandemic, continuous management of dynamic deteriorating parameters in patients is more relevant than ever before. This narrative review aims to summarize the currently available literature regarding real-time monitoring of blood parameters in intensive care. Both, invasive and non-invasive methods are described in detail and discussed in terms of general advantages and disadvantages particularly in context of their use in different medical fields but especially in critical care. The objective is to explicate both, well-known and frequently used as well as relatively unknown devices. Furtehrmore, potential future direction in research and development of realtime sensor systems are discussed. Therefore, the discussion section provides a brief description of current developments in biosensing with special emphasis on their technical implementation. In connection with these developments, the authors focus on different electrochemical approaches to invasive and non-invasive measurements in vivo.

Indexed as

blood parameterscritical careelectrochemistryintensive caremonitoring

Identifiers

PMID35566534
PMCPMC9100654

What OpenQuestion holds

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LicenceCC BY
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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.