Evidence map›Paper›PMID 39640622›Full record

ArticleHeliyon2024

Biomechanical analysis of spinal misalignment during Vehicular extrication maneuvers performed by professional rescue teams.

Manuel Pons Claramonte, Manuel Pardo Ríos, Ana Nicolás Carrillo, Alberto Nieto Navarro, Itziar Baztán Ferreros, Sergio Nieto Caballero

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Manuel Pons ClaramonteNew Technologies in Health, UCAM Universidad Católica de Murcia, Spain.
Manuel Pardo RíosNew Technologies in Health, UCAM Universidad Católica de Murcia, Spain.
Ana Nicolás CarrilloNew Technologies in Health, UCAM Universidad Católica de Murcia, Spain.
Alberto Nieto NavarroHealth Emergency Services from Valencian, Spain.
Itziar Baztán FerrerosHealth Emergency Services from Valencian, Spain.
Sergio Nieto CaballeroNew Technologies in Health, UCAM Universidad Católica de Murcia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare spinal misalignment and execution time of 3 rescue maneuvers for casualties in traffic accidents. Materials and methods: Biomechanical analysis using inertial sensors to measure the range of spinal misalignment and execution time of 3 maneuvers: 1) standard manual rescue (SMR); 2) rapid extrication device (RED); 3) extrication device (ED). The sample consisted of 117 rescue professionals (firefighters) from 14 Autonomous Communities in Spain. The total range of motion and the execution time of maneuvers were compared using ANOVA. Results: The highest range of cervical flexion-extension movement was recorded with RED (30° ± 9°). There were no statistically significant differences between SMR (21° ± 9°) and ED (21° ± 10°). In dorsal flexion-extension, the highest range of movement was with RED (36° ± 10°), followed by ED (30° ± 7°), with the lowest found for SMR (26° ± 11°). RED presented the least restriction of cervical (p < 0.001) and dorsal movement (p < 0.001). The quickest maneuver was SMR (average of 55″), followed by RED (average of 92″), with a considerable difference using ED (average of 225″) (p < 0.001). Conclusion: The standard manual rescue maneuver (SMR) generated the smallest range of spinal movement and also required the shortest execution time.

Indexed as

Accidents trafficbiomechanical analysisEmergency medical servicesRescue personnelRescue work

Identifiers

PMID39640622
PMCPMC11620058

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.