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Record W6944220389 · doi:10.17605/osf.io/cg2nw

Does the semi-rigid collar add to the care of a potential cervical spine injury? An experimental approach to assess the impact of a semi-rigid collar in the tilt of an athlete.

2024· other· en· W6944220389 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOpen Science Framework · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCollarCervical collarCervical spineFootballSports medicineAthletesPoison control

Abstract

fetched live from OpenAlex

Cervical spine (CxSp) injuries are prevalent in rugby union, with reported incident rates ranging from 8.9% to 41.3% (Leahy et al., 2019). Approximately 46% of these injuries necessitate immediate removal from play (Swain et al., 2010). Current protocols advocate for full immobilisation and extrication if the Canadian CxSp rules are not met. This includes the sizing and application of a semi-rigid collar, and two 15-degree tilts onto a split spinal board (Stiell et al., 2001; World Rugby, n.d.). However, existing research on semi-rigid collars primarily focuses on their efficacy in road traffic collisions (Engsberg et al., 2013; Nutbeam et al., 2021), raising questions about their suitability in controlled trauma environments such as rugby pitches. This study aims to investigate the variation in CxSp range of motion (ROM) during semi-rigid collar application by newly trained individuals and assess CxSp movements during athlete tilting, with and without collar use. Findings will offer insights into semi-rigid collar efficacy in sporting trauma settings. Using a pre-post randomised design, participants will undergo training resembling Rugby Football Union Pre-Hospital Immediate Care in Sport courses, covering collar sizing and application techniques (part 1) and 15 degree tilting manoeuvres (part 2). Learning styles will be accommodated through a four-step process, which will involve demonstration, deconstruction, formulation and performance (Jenko et al., 2012). Inertial measurement units will be used to segment movement of the head and torso, to estimate CxSp movement. Collar refitting during the study's second phase will be conducted by the research team who are experienced in the protocol. This will ensure that the variance in tilting technique is not due to erroneous collar sizing and application from part 1. This research aims to enhance global medical understanding of semi-rigid collar use in sports-related trauma scenarios.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.230
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.010
Science and technology studies0.0010.003
Scholarly communication0.0010.001
Open science0.0190.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.386
Teacher spread0.356 · 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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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