Evidence map›Paper›PMID 38261093›Full record

ArticleActa neurochirurgica2024

Cortical perfusion measurements with laser speckle contrast imaging during adenosine induced cardiac arrest for aneurysm clipping: a case report.

Alexis Dimanche, David Bervini, David R Miller, Andreas Schär, Johannes Goldberg, Andreas Raabe, Andrew K Dunn

Abstract readCase Reports
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In one paragraph

Article in Acta neurochirurgica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 45% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 2 institutions in 2 countries.

Alexis DimancheDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
David BerviniDepartment of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
David R MillerDynamic Light Inc, Austin, TX, USA.
Andreas SchärDepartment Anaesthesiology & Pain Therapy, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Johannes GoldbergDepartment of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Andreas RaabeDepartment of Neurosurgery, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Andrew K DunnDepartment of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA. adunn@utexas.edu.
University Hospital of Bern · CHThe University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adenosine induced cardiac arrest (AiCA) is one of the methods used to facilitate microsurgical aneurysm clipping by providing more visibility and less pressure in the aneurysmal sac and neighboring vessels. We report the use of laser speckle contrast imaging (LSCI) during AiCA to monitor the changes in pulsation and perfusion on the cortical surface during adenosine induced cardiac arrest for aneurysm clipping surgery. Application of this technology for perfusion monitoring may improve workflow and surgical guidance and provide valuable feedback continuously throughout the procedure. ClinicalTrials.gov identifier: NCT0502840.

Indexed as

AneurysmLaser Speckle Contrast ImagingAdenosineHeart Arrest, InducedHumansPerfusionAdenosineAdenosine induced cardiac arrest (AiCA)Aneurysm clippingCerebral blood flowIntraoperative blood flow visualizationLaser speckle contrast imaging (LSCI)Perfusion monitoring

Identifiers

PMID38261093
OpenAlexW4391144881

What OpenQuestion holds

Textmetadata
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.