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Record W3079706590 · doi:10.1093/pch/pxaa068.045

46 Preparation for MRI through imaginary visualization of an astronaut’s rocket journey to space for children 3 to 7 years old

2020· article· en· W3079706590 on OpenAlexaff
Laurence Truchon, Catherine Lacombe, Myriam Doyon, Jean-Sébastien Tremblay-Roy, Claude Cyr, Ghassan Choker, Sébastien Roulier, Yves Patenaude, Miriam Santschi

Bibliographic record

VenuePaediatrics & Child Health · 2020
Typearticle
Languageen
FieldNeuroscience
TopicAnesthesia and Neurotoxicity Research
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsSedationMagnetic resonance imagingMedicineOdds ratioThe ImaginaryIntervention (counseling)OddsPhysical therapySurgeryPsychologyRadiologyPathologyPsychiatryInternal medicineLogistic regression

Abstract

fetched live from OpenAlex

Abstract Background Medical imaging by magnetic resonance imaging (MRI) is now frequently used in the pediatric population. Up to now, sedation is used almost systematically to provide adequate immobilization during the exam. However, sedation is not without risks. Objectives The objective of this study is to evaluate whether a prior familiarization to MRI procedures with a video staging the imaginary world of an astronaut’s rocket journey into space will decrease the number of required sedations for an MRI for children aged 3 to 7 years old. Design/Methods A total of 136 children between 3 and 8 years of age, referred for an MRI between April 2016 and October 2019, were recruited for this prospective non-randomized quasi-experimental study. The control group (April 2016 to August 2017, n=73) received the usual sedation protocol for MRI used in our center. A pictorial step-by-step brochure and a three-minute video explaining the parallel between the MRI reality and the imaginary world of an astronaut was developed and shown to the intervention group (July 2018 to October 2019, n=63) before the MRI. Compared to the control group, any MRI in the intervention group was first attempted without sedation. Results A significant decrease in the number of sedations was observed in the intervention group (n=18; 28.6%) compared to the control group (n=47; 64.4%) (odds ratio: 0.22; p <0.001). The effect of the intervention was even stronger for younger children (3 and 4 years old) (odds ratio: 0.03) compared to older children (5 years old and above) (odds ratio: 0.3). After logistic regression, age remained the sole other significant factor to influence the need for sedation, even in the intervention group. Conclusion A video and a brochure staging the imaginary world of an astronaut’s rocket journey into space showed just before a MRI significantly reduces the rate of sedation in children aged 3 to 7 years, especially for young children. We believe the implementation of interventions using imaginary visualization in this age group should be widely used to limit the necessity of sedation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.054
GPT teacher head0.379
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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