Evidence map›Paper›PMID 38406334›Full record

ArticleIndian journal of anaesthesia2024

Role of simulation-based training in thoracic anaesthesia.

Swapnil Y Parab, Priya Ranganathan, Madhavi Shetmahajan, Anila Malde

Abstract read
In one paragraph

Article in Indian journal of anaesthesia, 2024. 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

4 authors.

Swapnil Y ParabDepartment of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National University, Dr. E Borges Road, Parel, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0003-0850-2913
Priya RanganathanDepartment of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National University, Dr. E Borges Road, Parel, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0003-1004-5264
Madhavi ShetmahajanDepartment of Anaesthesiology, Critical Care and Pain, Tata Memorial Hospital, Homi Bhabha National University, Dr. E Borges Road, Parel, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0002-7188-0207
Anila MaldeDepartment of Anaesthesiology, Lokmanya Tilak Municipal General Hospital and Medical College, Sion, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Simulation-based training (SBT) aims to acquire technical and non-technical skills in a simulated fashion without harming the patient. Simulation helps the anaesthesiologist acquire procedural competence and non-technical abilities. In thoracic anaesthesia, various simulators are available with varying degrees of fidelity and costs. Apart from improving bronchoscopy-related skills, other potential applications of SBT include the practice of lung isolation in normal and difficult airway scenarios, troubleshooting complications during surgeries, and certification of the proficiency of anaesthesiologists. A pragmatic approach is required for choosing the simulator based on its availability, cost, and benefits. Although the literature supports SBT to improve procedural skills, retention of the skills and their translation into improving clinical outcomes remain largely unproven. Randomised, controlled studies targeting the effect of SBT on the improvement of clinical outcomes of patients are needed to prove their worth.

Indexed as

Bronchoscopylung isolationone-lung ventilationsimulationsimulation-based trainingtechnical skillsthoracic anaesthesia

Identifiers

PMID38406334
PMCPMC10893814

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.