Diagnostic Test Accuracy Protocol

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Ankle brachial index for the diagnosis of symptomatic peripheral arterial disease

  1. Fay Crawford1,*,
  2. Francesca M Chappell2,
  3. Karen Welch3,
  4. Alina Andras1,
  5. Julie Brittenden4

Editorial Group: Cochrane Peripheral Vascular Diseases Group

Published Online: 9 AUG 2013

DOI: 10.1002/14651858.CD010680


How to Cite

Crawford F, Chappell FM, Welch K, Andras A, Brittenden J. Ankle brachial index for the diagnosis of symptomatic peripheral arterial disease (Protocol). Cochrane Database of Systematic Reviews 2013, Issue 8. Art. No.: CD010680. DOI: 10.1002/14651858.CD010680.

Author Information

  1. 1

    Freeman Hospital, Department of Vascular Surgery, Newcastle upon Tyne, UK

  2. 2

    University of Edinburgh, Division of Clinical Neurosciences, Edinburgh, UK

  3. 3

    University of Edinburgh, Public Health Sciences, Edinburgh, UK

  4. 4

    Aberdeen Royal Infirmary, University of Aberdeen, c/o Vascular Unit - Ward 36, Aberdeen, Scotland, UK

*Fay Crawford, Department of Vascular Surgery, Freeman Hospital, Newcastle upon Tyne Hospitals NHS Foundation Trust, High Heaton, Newcastle upon Tyne, NE7 7DN, UK. fay.crawford@nuth.nhs.uk. fay.crawford@ed.ac.uk.

Publication History

  1. Publication Status: New
  2. Published Online: 9 AUG 2013

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Abstract

  1. Top of page
  2. Abstract

This is the protocol for a review and there is no abstract. The objectives are as follows:

To estimate the diagnostic accuracy of the ankle brachial index (ABI) - also known as the ankle brachial pressure index (ABPI) - for the diagnosis of peripheral arterial disease in people who experience pain on walking that is alleviated by rest (intermittent claudication).

We will also investigate the effect of sources of heterogeneity on diagnostic accuracy; specifically, the study setting, previous tests, types of equipment used, type of reference standard, different groups of patients (people with type I or type II diabetes and suspected aortic iliac disease), and the duration of symptoms by including them as covariates in the meta-analysis, if there are sufficient studies with relevant data. Other potential sources of heterogeneity will be examined graphically for signs that they are a cause of heterogeneity.