Clinical prediction models to support the diagnosis of asthma in primary care: a systematic review protocol.

ABSTRACT: Substantial over-diagnosis and under-diagnosis of asthma in adults and children has recently been reported. As asthma is mostly diagnosed in non-specialist settings, a clinical prediction model (CPM) to aid the diagnosis of asthma in primary care may help improve diagnostic accuracy. We aim to systematically identify, describe, compare, and synthesise existing CPMs designed to support the diagnosis of asthma in children and adults presenting with symptoms suggestive of the disease, in primary care settings or equivalent populations. We will systematically search Medline, Embase and CINAHL from 1 January 1990 to present. Any CPM derived for use in a primary care population will be included. Equivalent populations in countries without a developed primary care service will also be included. T

SUBMITTER: Daines L 

PROVIDER: S-EPMC5959853 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature