Evidence map›Paper›PMID 39811477›Full record

ArticleWearable technologies2024

Identifying internal and external shoulder rotation using a kirigami-based shoulder patch.

Amani A Alkayyali, Conrad P F Cowan, Callum J Owen, Emmanuel Giannas, Susann Wolfram, Ulrich Hansen, Alanson P Sample, Roger J H Emery, Max Shtein, David B Lipps

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Wearable technologies, 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

10 authors.

Amani A AlkayyaliCollege of Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0002-6729-4782
Conrad P F CowanMedical School, University of Exeter, Exeter, UK.
Callum J OwenGKT School of Medicine, King's College London, London, SE1 1UL, United Kingdom.
Emmanuel GiannasDepartment of Surgery and Cancer, Imperial College London, London SW7 2BX, United Kingdom.
Susann WolframSchool of Kinesiology, University of Michigan, Ann Arbor, MI, UK.
Ulrich HansenDepartment of Surgery and Cancer, Imperial College London, London SW7 2BX, United Kingdom.
Alanson P SampleCollege of Engineering, University of Michigan, Ann Arbor, MI, USA.
Roger J H EmeryDepartment of Surgery and Cancer, Imperial College London, London SW7 2BX, United Kingdom.
Max ShteinCollege of Engineering, University of Michigan, Ann Arbor, MI, USA.
David B LippsCollege of Engineering, University of Michigan, Ann Arbor, MI, USA.ORCID https://orcid.org/0000-0003-1140-9891

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Internal and external rotation of the shoulder is often challenging to quantify in the clinic. Existing technologies, such as motion capture, can be expensive or require significant time to setup, collect data, and process and analyze the data. Other methods may rely on surveys or analog tools, which are subject to interpretation. The current study evaluates a novel, engineered, wearable sensor system for improved internal and external shoulder rotation monitoring, and applies it in healthy individuals. Using the design principles of the Japanese art of

Indexed as

BiomechanicsBiomechatronicsEmbedded electronicsMonitorsSensors

Identifiers

PMID39811477
PMCPMC11729485

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.