Evidence map›Paper›PMID 31413264›Full record

ArticleScientific reports2019

In vivo muscle morphology comparison in post-stroke survivors using ultrasonography and diffusion tensor imaging.

Clara Körting, Marius Schlippe, Sven Petersson, Gaia Valentina Pennati, Olga Tarassova, Anton Arndt, Taija Finni, Kangqiao Zhao, Ruoli Wang

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

Clara KörtingDepartment of Mechanics, Royal Institute of Technology, Stockholm, Sweden.
Marius SchlippeDepartment of Mechanics, Royal Institute of Technology, Stockholm, Sweden.
Sven PeterssonDepartment of Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden.
Gaia Valentina PennatiKarolinska Institutet, Department of Clinical Sciences, Danderyd Hospital, Division of Rehabilitation Medicine, Stockholm, Sweden.
Olga TarassovaThe Swedish School of Sport and Health Sciences, Stockholm, Sweden.
Anton ArndtThe Swedish School of Sport and Health Sciences, Stockholm, Sweden.
Taija FinniFaculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Kangqiao ZhaoDepartment of Mechanics, Royal Institute of Technology, Stockholm, Sweden.
Ruoli WangDepartment of Mechanics, Royal Institute of Technology, Stockholm, Sweden. ruoli@kth.se.ORCID http://orcid.org/0000-0002-2232-5258
Karolinska Institutet · SEKTH Royal Institute of Technology · SEKarolinska University Hospital · SESwedish School of Sport and Health Sciences · SEUniversity of Jyväskylä · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle architecture significantly influences the performance capacity of a muscle. A DTI-based method has been recently considered as a new reference standard to validate measurement of muscle structure in vivo. This study sought to quantify muscle architecture parameters such as fascicle length (FL), pennation angle (PA) and muscle thickness (t

Indexed as

Diffusion Tensor ImagingSurvivorsUltrasonographyAdultAgedFemaleHumansMaleMiddle AgedMuscle, SkeletalStroke

Identifiers

PMID31413264
PMCPMC6694129
OpenAlexW2968390621

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.