Evidence map›Paper›PMID 38487779›Full record

ReviewWearable technologies2023

Exoskeletal solutions to enable mobility with a lower leg fracture in austere environments.

W Brett Johnson, Aaron Young, Stephen Goldman, Jon Wilson, Joseph F Alderete, W Lee Childers

Open access · goldAbstract readReview
In one paragraph

Review in Wearable technologies, 2023. 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
0.4field-weighted citation impact, top 44% of its field
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, 4 citations in OpenAlex.

  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 at 5 institutions in 1 country.

W Brett JohnsonResearch and Surveillance Division, Extremity Trauma and Amputation Center for Excellence, San Antonia, TX 78234, USA.ORCID https://orcid.org/0000-0002-0023-104X
Aaron YoungSchool of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Stephen GoldmanResearch and Surveillance Division, Extremity Trauma and Amputation Center for Excellence, San Antonia, TX 78234, USA.
Jon WilsonAlabama College of Osteopathic Medicine, Dothan, AL 36303, USA.
Joseph F AldereteUS Army Institute of Surgical Research, San Antonia, TX 78234, USA.
W Lee ChildersResearch and Surveillance Division, Extremity Trauma and Amputation Center for Excellence, San Antonia, TX 78234, USA.
Brooke Army Medical Center · USAlabama College of Osteopathic Medicine · USGeorgia Institute of Technology · USUniformed Services University of the Health Sciences · USUnited States Army Institute of Surgical Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment and evacuation of people with lower limb fractures in austere environments presents unique challenges that assistive exoskeletal devices could address. In these dangerous situations, independent mobility for the injured can preserve their vital capabilities so that they can safely evacuate and minimize the need for additional personnel to help. This expert view article discusses how different exoskeleton archetypes could provide independent mobility while satisfying the requisite needs for portability, maintainability, durability, and adaptability to be available and useful within austere environments. The authors also discuss areas of development that would enable exoskeletons to operate more effectively in these scenarios as well as preserve the health of the injured limb so that definitive treatment after evacuation will produce better outcomes.

Indexed as

DesignExoskeletonsRehabilitation robotics

Identifiers

PMID38487779
PMCPMC10936379
OpenAlexW4322705308

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.