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Diagnostic imaging for chronic plantar heel pain: a systematic review and meta‐analysis

Overview of attention for article published in Journal of Foot and Ankle Research, November 2009
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Title
Diagnostic imaging for chronic plantar heel pain: a systematic review and meta‐analysis
Published in
Journal of Foot and Ankle Research, November 2009
DOI 10.1186/1757-1146-2-32
Pubmed ID
Authors

Andrew M McMillan, Karl B Landorf, Joanna T Barrett, Hylton B Menz, Adam R Bird

Abstract

Chronic plantar heel pain (CPHP) is a generalised term used to describe a range of undifferentiated conditions affecting the plantar heel. Plantar fasciitis is reported as the most common cause and the terms are frequently used interchangeably in the literature. Diagnostic imaging has been used by many researchers and practitioners to investigate the involvement of specific anatomical structures in CPHP. These observations help to explain the underlying pathology of the disorder, and are of benefit in forming an accurate diagnosis and targeted treatment plan. The purpose of this systematic review was to investigate the diagnostic imaging features associated with CPHP, and evaluate study findings by meta-analysis where appropriate.

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The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Libya 1 <1%
United States 1 <1%
Netherlands 1 <1%
Unknown 247 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 48 19%
Student > Bachelor 37 15%
Other 23 9%
Student > Postgraduate 21 8%
Researcher 16 6%
Other 56 22%
Unknown 49 20%
Readers by discipline Count As %
Medicine and Dentistry 101 40%
Nursing and Health Professions 52 21%
Agricultural and Biological Sciences 9 4%
Sports and Recreations 8 3%
Engineering 3 1%
Other 16 6%
Unknown 61 24%