• The role of computed tomography (CT) of the head in evaluating patients with dementing illnesses remains a controversial issue. Several prediction rules to guide the selective application of CT in the evaluation of dementia have recently been proposed in the medical literature. The present authors examine the value of four such rules through a validation study performed in an outpatient geriatric assessment unit. The rules were assessed in terms of their diagnostic sensitivities, specificities, misclassification rates, and information contents. Prediction rule sensitivities ranged from 12.5% to 87.5%, specificities from 37.2% to 77.9%, and misclassification rates from 23.5% to 60.8%. Of the four prediction rules examined, one emerged as significantly more sensitive than the others, and also served to reduce diagnostic uncertainty a full order of magnitude more than the others, as determined by an information content analysis. Disadvantages to this rule, however, were found in its more complex nature and the assessment of a very high rate of misclassification. Through a critique of existing strategies, this study purports to determine the potential for establishing a useful clinical prediction rule to guide selective CT scanning in the diagnostic evaluation of dementia.
(Arch Intern Med 1987;147:77-80)
Thank you for submitting a comment on this article. It will be reviewed by JAMA Internal Medicine editors. You will be notified when your comment has been published. Comments should not exceed 500 words of text and 10 references.
Do not submit personal medical questions or information that could identify a specific patient, questions about a particular case, or general inquiries to an author. Only content that has not been published, posted, or submitted elsewhere should be submitted. By submitting this Comment, you and any coauthors transfer copyright to the journal if your Comment is posted.
* = Required Field
Disclosure of Any Conflicts of Interest*
Indicate all relevant conflicts of interest of each author below, including all relevant financial interests, activities, and relationships within the past 3 years including, but not limited to, employment, affiliation, grants or funding, consultancies, honoraria or payment, speakers’ bureaus, stock ownership or options, expert testimony, royalties, donation of medical equipment, or patents planned, pending, or issued. If all authors have none, check "No potential conflicts or relevant financial interests" in the box below. Please also indicate any funding received in support of this work. The information will be posted with your response.
Some tools below are only available to our subscribers or users with an online account.
Download citation file:
Web of Science® Times Cited: 31
Customize your page view by dragging & repositioning the boxes below.
More Listings atJAMACareerCenter.com >
Enter your username and email address. We'll send you a link to reset your password.
Enter your username and email address. We'll send instructions on how to reset your password to the email address we have on record.
Athens and Shibboleth are access management services that provide single sign-on to protected resources. They replace the multiple user names and passwords necessary to access subscription-based content with a single user name and password that can be entered once per session. It operates independently of a user's location or IP address. If your institution uses Athens or Shibboleth authentication, please contact your site administrator to receive your user name and password.