Accuracy of administrative databases in detecting primary breast cancer diagnoses: a systematic review.

ABSTRACT:

Objective

To define the accuracy of administrative datasets to identify primary diagnoses of breast cancer based on the International Classification of Diseases (ICD) 9th or 10th revision codes.

Design

Systematic review.

Data sources

MEDLINE, EMBASE, Web of Science and the Cochrane Library (April 2017).

Eligibility criteria

The inclusion criteria were: (a) the presence of a reference standard; (b) the presence of at least one accuracy test measure (eg, sensitivity) and (c) the use of an administrative database.

Data extraction

Eligible studies were selected and data extracted independently by two reviewers; quality was assessed using the Standards for Reporting of Diagnostic accuracy criteria.

Data analysis

Extracted data were synthesised using a

SUBMITTER: Abraha I 

PROVIDER: S-EPMC6059263 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature