Evidence map›Paper›PMID 41385005›Full record

Observational studyJournal of clinical monitoring and computing2026

Transcranial doppler assessment of preoperative cerebral blood flow velocity in cardiac surgery patients.

Thomas Saller, Mahmoud Almaghrabi, Marcus Thudium, Mhd Nedal Al Saqqa, Erich Kilger, Gerd Juchem

Abstract readObservational Study
In one paragraph

Observational study in Journal of clinical monitoring and computing, 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

6 authors.

Thomas SallerDepartment of Anaesthesiology, University Hospital, LMU Munich, 81377, Munich, Germany. thomas.saller@med.uni-muenchen.de.ORCID 0000-0003-3987-6272
Mahmoud AlmaghrabiDepartment of Anaesthesiology, University Hospital, LMU Munich, 81377, Munich, Germany.
Marcus ThudiumDepartment of Anaesthesiology, University Hospital Bonn, 53127, Bonn, Germany.
Mhd Nedal Al SaqqaDepartment of Statistics and Information Systems, Faculty of Economics, University of Damascus, Damascus, Syria.
Erich KilgerDepartment of Anaesthesiology, University Hospital, LMU Munich, 81377, Munich, Germany.
Gerd JuchemDepartment of Cardiac Surgery, University Hospital, LMU Munich, 81377, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Postoperative delirium (POD) is a common and multifactorial complication following cardiac surgery, with cardiopulmonary bypass (CPB) playing a significant contributory role. Impaired cerebral autoregulation (CA) during CPB, particularly in older patients, may lead to cerebral hypo- or hyperperfusion. While several methods exist to assess CA and cerebral blood flow, many require specialized equipment not widely available. This prospective observational study aimed to investigate whether altered cerebral artery flow velocity, measured preoperatively by transcranial Doppler (TCD), is associated with the development of POD. We enrolled 41 patients undergoing elective cardiac surgery with CPB. Bilateral peak flow velocities of the middle cerebral arteries were measured preoperatively using TCD. The mean middle cerebral artery velocity (mMCAv

Indexed as

Cardiac Surgical ProceduresCerebrovascular CirculationUltrasonography, Doppler, TranscranialAgedBlood Flow VelocityCardiopulmonary BypassDeliriumFemaleHomeostasisHumansMaleMiddle AgedMiddle Cerebral ArteryMonitoring, IntraoperativePostoperative ComplicationsPreoperative PeriodBlood flow velocityCardiac surgeryCardiopulmonary bypassCerebral autoregulationPostoperative deliriumTranscranial doppler

Identifiers

PMID41385005
PMCPMC13053433

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Registered trials

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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.