Evidence map›Paper›PMID 40953241›Full record

ArticleThe journal of extra-corporeal technology2025

Automated temperature management during cardiopulmonary bypass: a step toward safety and precision perfusion.

Youssef El Dsouki, Ignazio Condello

Abstract read
In one paragraph

Article in The journal of extra-corporeal technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

2 authors.

Youssef El DsoukiUniversité, Paris-Sorbonne, 27 rue Chaligny, 75012 Paris, France.ORCID 0000-0001-6181-9480
Ignazio CondelloUniversity of Insubria, Via Ravasi, 2, 21100 Varese, VA, Italy.ORCID 0000-0003-1192-1908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Precise temperature management during cardiopulmonary bypass (CPB) is crucial for optimizing patient outcomes, and influencing metabolic rate, organ protection, and neurological integrity. Traditionally, temperature control during CPB has relied on manual adjustments by perfusionists, a practice fraught with potential for human error and variability in outcomes. Such variability can lead to severe complications, including cerebral hyperthermia and inflammatory responses, which significantly impact patient recovery and morbidity. This paper introduces a novel, fully automated temperature management system, which integrates with existing heater-cooler units (HCUs) and advanced perfusion systems to enhance precision and reliability. By utilizing real-time physiological monitoring and intelligent automation, the system dynamically adjusts temperature phases based on continuous patient feedback. Preliminary simulation data are presented to validate the system's feasibility and responsiveness. Ethical considerations regarding automated decision-making in surgery are also briefly discussed.

Indexed as

Cardiopulmonary BypassPerfusionBody TemperatureEquipment DesignHumansAutomated systemsCardiopulmonary bypassIntelligent automationPatient safetyPerfusion systemsTemperature management

Identifiers

PMID40953241
PMCPMC12435808

What OpenQuestion holds

Textmetadata
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.