Evidence map›Paper›PMID 31064280›Full record

ArticleTissue engineering. Part A2020

Regenerative Repair of Volumetric Muscle Loss Injury is Sensitive to Age.

John T Kim, Benjamin Kasukonis, Grady Dunlap, Richard Perry, Tyrone Washington, Jeffrey C Wolchok

Abstract read
In one paragraph

Article in Tissue engineering. Part A, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

6 authors.

John T KimDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.
Benjamin KasukonisDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.
Grady DunlapDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.
Richard PerryDepartment of Health, Human Performance, and Recreation, College of Education and Health Professions, University of Arkansas, Fayetteville, Arkansas.
Tyrone WashingtonDepartment of Health, Human Performance, and Recreation, College of Education and Health Professions, University of Arkansas, Fayetteville, Arkansas.
Jeffrey C WolchokDepartment of Biomedical Engineering, University of Arkansas, Fayetteville, Arkansas.

Funding

Engineering a Muscle Mimetic BiomaterialR15AR064481 · NIAMS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI WOLCHOK, JEFFREY · 2014 to 2014
$437k
NIAMS NIH HHS R15 AR064481
6 · The paper itself

Abstract

In this study, the influence of age on effectiveness of regenerative repair for the treatment of volumetric muscle loss (VML) injury was explored. Tibialis anterior (TA) VML injuries were repaired in both 3- and 18-month-old animal models (Fischer 344 rat) using allogeneic decellularized skeletal muscle (DSM) scaffolds supplemented with autologous minced muscle (MM) paste. Within the 3-month animal group, TA peak contractile force was significantly improved (79% of normal) in response to DSM+MM repair. However, within the 18-month animal group, muscle force following repair (57% of normal) was not significantly different from unrepaired VML controls (59% of normal). Within the 3-month animal group, repair with DSM+MM generally reduced scarring at the site of VML repair, whereas scarring and a loss of contractile tissue was notable at the site of repair within the 18-month group. Within 3-month animals, expression of myogenic genes (

Indexed as

AnimalsDisease Models, AnimalMaleMuscle ContractionMuscle, SkeletalMuscular DiseasesPosterior Tibial Tendon DysfunctionRatsRats, Inbred F344Regenerationanimal modelmusculoskeletalorthopedicstibialis anteriorVML

Identifiers

PMID31064280
PMCPMC6983754

What OpenQuestion holds

Textmetadata
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.