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Cited by 264

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Partial-Thickness Rotator Cuff Tears

Matava, Matthew J., Purcell, Derek B., Rudzki, Jonas R.·2005·The American Journal of Sports Medicine

Abstract

Partial-thickness tears of the rotator cuff have been diagnosed with increased frequency because of a heightened awareness of the condition by clinicians and improved diagnostic methods. Research into the causes, natural history, and optimal treatment of this condition lags behind that of full-thickness tears. However, despite the limitations in the existing literature, there has emerged a consensus among shoulder experts that partial-thickness rotator cuff tears should be aggressively treated in the active athlete because of the unfavorable natural history of these lesions and success of accepted surgical algorithms. This review will provide an overview of the theories regarding the origins of partial-thickness rotator cuff tears, discuss the relative accuracy of accepted diagnostic techniques, and summarize the indications and methods of operative repair with an emphasis on the results of various treatment approaches.

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Crossref · 10.1177/0363546505280213

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Metadata

Authors
Matava, M. J., Purcell, D. B., & Rudzki, J. R.
Venue
The American Journal of Sports Medicine
Published
2005-09
Volume
33
Issue
9
Pages
1405-1417
ISSN
  • 0363-5465 (ISSN-L)
  • 1552-3365
OpenAlex
W2158644066
Cited by
264
References
56
FWCI
7.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Partial-Thickness Rotator Cuff Tears. https://app.cochat.ai/papers/10.1177/0363546505280213
The paper
Matava, M. J., Purcell, D. B., & Rudzki, J. R. (2005). Partial-Thickness Rotator Cuff Tears. The American Journal of Sports Medicine. https://doi.org/10.1177/0363546505280213

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.