Evidence map›Paper›PMID 28145949›Full record

ArticleThe Journal of bone and joint surgery. American volume2017

Histological Evidence of Muscle Degeneration in Advanced Human Rotator Cuff Disease.

Michael C Gibbons, Anshu Singh, Oke Anakwenze, Timothy Cheng, Maxwill Pomerantz, Simon Schenk, Adam J Engler, Samuel R Ward

Open access · greenAbstract read
In one paragraph

Article in The Journal of bone and joint surgery. American volume, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
8.7field-weighted citation impact, top 2% 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

64 citing papers in PubMed, 1 synthesis or guideline pooled it, 109 citations in OpenAlex.

  1. Pooled it
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  3. Review
  4. Unilateral lumbar paraspinal muscle degeneration is not sufficient to drive spinal deformity in mice.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
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  11. Insights into intramuscular adipose-muscle signaling in the diabetic lower extremity.Journal of clinical & translational endocrinology · 2025
    Article
  12. Article
  13. Intramuscular adipose tissue: from progenitor to pathology.American journal of physiology. Cell physiology · 2025
    Review
  14. Clinical value of fat depositions in different lumbar areas on spine degeneration and clinical outcomes.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2025
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4 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

Michael C Gibbons1Departments of Bioengineering (M.C.G. and A.J.E.), Orthopaedic Surgery (T.C., M.P., S.S., and S.R.W.), and Radiology (S.R.W.), University of California San Diego, San Diego, California 2Kaiser Permanente, San Diego, California.
Anshu Singh
Oke Anakwenze
Timothy Cheng
Maxwill Pomerantz
Simon Schenk
Adam J Engler
Samuel R Ward
University of California, San Diego · USKaiser Permanente San Diego Medical Center · US

Funding

The Physiological Basis of Rotator Cuff Muscle RehabilitationR01HD073180 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WARD, SAMUEL RICHARD · 2013 to 2017
$1.5M
NICHD NIH HHS R01 HD073180
6 · The paper itself

Abstract

backgroundCellular remodeling in rotator cuff muscles following a massive rotator cuff tear is poorly understood. The aim of the current study was to provide histological evidence to elucidate the mode of muscle loss in advanced human rotator cuff disease and to assess tissue-level changes in relation to findings on noninvasive imaging.

methodsRotator cuff muscle biopsy samples were taken from the scapular fossae from 23 consecutive patients undergoing reverse total shoulder arthroplasty in order to evaluate muscle composition in severe rotator cuff disease. Markers of vascularity; inflammation; fat distribution; and muscle atrophy, degeneration, and regeneration were quantified.

resultsThe samples primarily consisted of dense, organized connective tissue (48.2% ± 19.1%) and disorganized, loose connective tissue (36.9% ± 15.9%), with substantially smaller fractions of muscle (10.4% ± 22.0%) and fat (6.5% ± 11.6%). Only 25.8% of the biopsy pool contained any muscle fibers at all. Increased inflammatory cell counts (111.3 ± 81.5 macrophages/mm) and increased vascularization (66.6 ± 38.0 vessels/mm) were observed across biopsies. Muscle fiber degeneration was observed in 90.0% ± 15.6% of observable muscle fascicles, and the percentage of centrally nucleated muscle fibers was pathologically elevated (11.3% ± 6.3%). Fat accumulation was noted in both perifascicular (60.7% ± 41.4%) and intrafascicular (42.2% ± 33.6%) spaces, with evidence that lipid may replace contractile elements without altering muscle organization.

conclusionsDramatic degeneration and inflammation of the rotator cuff muscles are characteristics of the most chronic and severe rotator cuff disease states, suggesting that muscle loss is more complicated than, and distinct from, the simple atrophy found in less severe cases. CLINICAL RELEVANCE: In order to address degenerative muscle loss, alternative therapeutic approaches directed at muscle regeneration must be considered if muscle function is to be restored in late-stage rotator cuff disease.

Indexed as

Arthroplasty, Replacement, ShoulderAgedBiopsyFemaleHumansMaleMuscle, SkeletalMuscular AtrophyRotator Cuff Injuries

Identifiers

PMID28145949
PMCPMC5395080
OpenAlexW2585829088

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.