Evidence map›Paper›PMID 40881210›Full record

ArticleWorld journal of methodology2025

Visual avatar to increase situational awareness in anaesthesia: Systematic review of recent evidence.

Alessio Tramontana, Massimiliano Rulli, Andrea Falegnami, Federico Bilotta

Abstract read
In one paragraph

Article in World journal of methodology, 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. Observational
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

4 authors.

Alessio TramontanaDepartment of Anesthesiology, Critical Care and Pain Medicine, Policlinico Umberto I, Sapienza University of Rome, Rome 00185, Lazio, Italy.
Massimiliano RulliDepartment of Anesthesiology, Critical Care and Pain Medicine, Policlinico Umberto I, Sapienza University of Rome, Rome 00185, Lazio, Italy.
Andrea FalegnamiDepartment of Mechanical and Aerospace, International University "Uninettuno", Corso Vittorio Emanuele II, Rome 00186, Lazio, Italy.
Federico BilottaDepartment of Anesthesiology, Critical Care and Pain Medicine, Policlinico Umberto I, Sapienza University of Rome, Rome 00185, Lazio, Italy. bilotta@tiscali.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSystematic review focuses on the visual patient avatar (VPA) technology, a tool designed to enhance situational awareness in anesthesia by transforming traditional numerical data into intuitive visual displays.

aimTo explore how VPA can improve perceptual performance, reduce cognitive load, and increase user acceptance, potentially leading to better patient outcomes.

methodsThe review is based on 14 studies conducted between 2018 and 2023 in five different hospitals across Europe.

resultsThese studies demonstrate that VPA allows clinicians to perceive and recall vital signs more efficiently than conventional monitoring methods. The technology's intuitive design helps reduce cognitive workload, indicating less mental effort required for patient monitoring. Users' feedback on VPA was generally positive, highlighting its potential to enhance monitoring and decision-making in high-stress environments. However, some users noted the need for further development, particularly in visualization design and data integration.

conclusionReview concludes that VPA technology represents a significant advancement in patient monitoring, promoting better situational awareness and potentially improving safety in perioperative care.

Indexed as

AnesthesiaAwarenessSituationSituationalVisual patient avatar

Identifiers

PMID40881210
PMCPMC11948197

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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.