Evidence map›Paper›PMID 36032784›Full record

ArticleAfrican journal of emergency medicine : Revue africaine de la medecine d'urgence2022

Effects of the Lubo cervical collar on airway patency in awake adults - A magnetic resonance imaging study.

Rudhir Jaga, Dinell Behari, Anton P Doubell, Kobus Bergh, Sally Candy, Ross Hofmeyr

Abstract read
In one paragraph

Article in African journal of emergency medicine : Revue africaine de la medecine d'urgence, 2022. 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. 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

6 authors.

Rudhir JagaDepartment of Anaesthesia & Perioperative Medicine, University of Cape Town, Cape Town, South Africa.
Dinell BehariDepartment of Anaesthesia & Perioperative Medicine, University of Cape Town, Cape Town, South Africa.
Anton P DoubellDepartment of Radiology, University of Cape Town, Cape Town, South Africa.
Kobus BerghDepartment of Anaesthesia & Perioperative Medicine, University of Cape Town, Cape Town, South Africa.
Sally CandyDivision of Diagnostic Radiology, University of Cape Town, Cape Town, South Africa.
Ross HofmeyrDepartment of Anaesthesia & Perioperative Medicine, University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIntended for use by prehospital first responders, the Lubo

methodsA randomized, crossover, interventional study was performed to compare mean differences in airway patency at the level of the uvula, epiglottis, tongue and soft palate with and without the Lubo collar in awake volunteers using magnetic resonance imaging (MRI). Fourteen participants each underwent two MRI scans of the upper airway: A control scan with no Lubo collar, and an intervention scan with the Lubo collar applied and jaw thrust mechanism activated. Two independent radiologists measured anterior-posterior diameter of the airway at four anatomical levels on the resulting MRI images.

resultsThere was no significant difference in mean airway diameter between the control and intervention measurements at any level. Mean (SD; 95% CI: p-value) differences were 0.9 mm (-2.38; 2.3 to 0.5; p=0.17) at the epiglottis, 0.5 mm (1.6; -0.5 to 1.4; p=0.29) at the soft palate, 0.2 mm (2.86; -1.4 to 1.9; p = 0.78) at the tongue, 0.4 mm (4.04; -1.9 to 2.7; p = 0.72) at the uvula.

conclusionThe Lubo

Indexed as

AirwayJaw thrustLubo cervical collar, Magnetic Resonance ImagingPatency

Identifiers

PMID36032784
PMCPMC9403401

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.