Evidence map›Paper›PMID 27992284›Full record

ReviewJournal of sport rehabilitation2017

Regeneration of Skeletal Muscle After Eccentric Injury.

Jeffrey J Dueweke, Tariq M Awan, Christopher L Mendias

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of sport rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Twisting Paths: The Paradox of Fiber Branching in Muscle Regeneration.International journal of molecular sciences · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Reduced Expression of Septin7 Hinders Skeletal Muscle Regeneration.International journal of molecular sciences · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Review
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

3 authors at 1 institution in 1 country.

Jeffrey J Dueweke
Tariq M Awan
Christopher L Mendias
University of Michigan–Ann Arbor · US

Funding

Sex Differences in Tendon Growth and RemodelingR01AR063649 · NIAMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RODEO, SCOTT A · 2013 to 2022
$3.6M
NIAMS NIH HHS R01 AR063649
6 · The paper itself

Abstract

Eccentric-contraction-induced skeletal muscle injuries, included in what is clinically referred to as muscle strains, are among the most common injuries treated in the sports medicine setting. Although patients with mild injuries often fully recover to their preinjury levels, patients who suffer moderate or severe injuries can have a persistent weakness and loss of function that is refractory to rehabilitation exercises and currently available therapeutic interventions. The objectives of this review were to describe the fundamental biophysics of force transmission in muscle and the mechanism of muscle-strain injuries, as well as the cellular and molecular processes that underlie the repair and regeneration of injured muscle tissue. The review also summarizes how commonly used therapeutic modalities affect muscle regeneration and opportunities to further improve our treatment of skeletal muscle strain injuries.

Indexed as

HumansMuscle, SkeletalMuscular AtrophyRecovery of FunctionRegenerationSprains and Strainsatrophyfibrosisrehabilitation

Identifiers

PMID27992284
PMCPMC5393925
OpenAlexW2564883464

What OpenQuestion holds

Textmetadata
LicenceTDM
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.