Evidence map›Paper›PMID 40930873›Full record

ArticleBritish journal of anaesthesia2025

Photoacoustic detection of propofol in breath gas for monitoring depth of anaesthesia: from bench to bedside.

Agnes S Meidert, Péter Rucz, Judit Angster, Joseph Esser, András Miklós, Gustav Schelling

Abstract read
In one paragraph

Article in British journal of anaesthesia, 2025. 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. 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

6 authors.

Agnes S MeidertDepartment of Anaesthesiology, University Hospital LMU Munich, Munich, Germany. Electronic address: agnes_meidert@web.de.
Péter RuczDepartment of Anaesthesiology, University Hospital LMU Munich, Munich, Germany; Fraunhofer Institute for Building Physics, Department of Acoustics, Group of Musical and Photoacoustics, Stuttgart, Germany.
Judit AngsterFraunhofer Institute for Building Physics, Department of Acoustics, Group of Musical and Photoacoustics, Stuttgart, Germany.
Joseph EsserDepartment of Anaesthesiology, University Hospital LMU Munich, Munich, Germany.
András MiklósFraunhofer Institute for Building Physics, Department of Acoustics, Group of Musical and Photoacoustics, Stuttgart, Germany.
Gustav SchellingDepartment of Anaesthesiology, University Hospital LMU Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnsuring adequate depth of i.v. anaesthesia by measuring propofol in breath gas could increase patient safety. Mass spectrometry, representing the reference standard of propofol breath gas measurements, is not feasible in routine clinical practice; hence, a photoacoustic sensor was developed.

methodsThe photoacoustic sensor quantifies propofol concentration in gas via the sound waves emitted by propofol molecules excited by light of specific wavelength and frequency. We studied the performance of the new sensor in propofol test gas, gas sampling bags filled with breath gas from different patients, and performed real-time measurements in patients undergoing propofol anaesthesia in comparison to ion-molecule reaction mass spectrometry.

resultsIn test gas, photoacoustic and mass spectrometry correlated with an R

conclusionsPhotoacoustic measurement of propofol concentration in breath gas is feasible with high accuracy in clinical applications.

Indexed as

Anesthetics, IntravenousPhotoacoustic TechniquesPropofolAdultAgedBreath TestsFemaleHumansMaleMass SpectrometryMiddle AgedAnesthetics, IntravenousPropofolbreath gas analysisdepth of anaesthesiamonitoringpatient safetypropofolvolatile anaesthetic

Identifiers

PMID40930873
PMCPMC12597363

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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.