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Diagnostic Test Accuracy Protocol

IQCODE for the diagnosis of Alzheimer’s disease dementia and other dementias within a general practice (primary care) setting

  1. Terry J Quinn1,*,
  2. Patricia Fearon2,
  3. Camilla Young2,
  4. Anna H Noel-Storr3,
  5. Rupert McShane3,
  6. David J Stott2

Editorial Group: Cochrane Dementia and Cognitive Improvement Group

Published Online: 14 OCT 2013

Assessed as up-to-date: 16 JAN 2013

DOI: 10.1002/14651858.CD010771

How to Cite

Quinn TJ, Fearon P, Young C, Noel-Storr AH, McShane R, Stott DJ. IQCODE for the diagnosis of Alzheimer’s disease dementia and other dementias within a general practice (primary care) setting (Protocol). Cochrane Database of Systematic Reviews 2013, Issue 10. Art. No.: CD010771. DOI: 10.1002/14651858.CD010771.

Author Information

  1. 1

    University of Glasgow, Cardiovascular and Medical Sciences, Glasgow, UK

  2. 2

    University of Glasgow, Academic Section of Geriatric Medicine, Glasgow, UK

  3. 3

    University of Oxford, Radcliffe Department of Medicine, Oxford, UK

*Terry J Quinn, Cardiovascular and Medical Sciences, University of Glasgow, Walton Building, Glasgow Royal Infirmary, Glasgow, G4 0SF, UK. Terry.Quinn@glasgow.ac.uk.

Publication History

  1. Publication Status: New
  2. Published Online: 14 OCT 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 determine the diagnostic accuracy of the informant-based questionnaire IQCODE, in detection of all-cause (undifferentiated) dementia in adults presenting to primary-care services.

Where data are available we will describe the following:

  1. The diagnostic accuracy of IQCODE at various prespecified thresholds. We recognise that various thresholds or cut-off scores have been used to define IQCODE screen-positive states. We will describe the properties of IQCODE for the following cut-off scores (rounded where necessary): 3.6; 3.5; 3.4; 3.3. These thresholds have been chosen to represent the range of cut-offs that are commonly used in practice and research; we have been inclusive in our choice of cut-off to maximise available data for review.
  2. Accuracy of IQCODE for diagnosis of the commonest specific dementia subtype - Alzheimer’s dementia.
  3. Effects of heterogeneity on the reported diagnostic accuracy of IQCODE. Potential sources of heterogeneity that we will explore include: age of cohort; case mix of cohort; reason for primary-care consultation; technical features of IQCODE; method of dementia diagnosis.