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J Registry Manag. 2013 Summer;40(2):65-9.

Validation of a large basal cell carcinoma registry.

Abstract

BACKGROUND:

The epidemiological study of basal cell carcinomas (BCCs) is difficult because BCCs lack distinct disease codes and are excluded from most cancer registries.

OBJECTIVE:

To develop and validate a large BCC registry based on electronically assigned Systematized Nomenclature of Medicine (SNOMED) codes and text-string searches of electronic pathology reports from Kaiser Permanente Northern California.

METHODS AND MATERIALS:

Potential BCCs were identified from electronic pathology reports (n=39,026) in 2005 and were reviewed by a dermatologist who assigned case/non-case status (gold-standard). A subset of the records (n=9,428) was independently reviewed by a second dermatologist to ascertain reliability of case assignment. In addition, a subset of excluded electronic pathology reports from 2005 (n=2,700) was reviewed to determine whether inclusion criteria had missed potential BCCs. We calculated the positive predictive value (PPV) of 3 different algorithms for identifying BCCs from electronic pathology data.

RESULTS:

BCC-specific SNOMED codes had the highest PPV for identifying BCCs, 0.992 (95 percent CI: 0.991-0.993). Inter-rater reliability for case assignment was high (kappa=0.92, 95 percent CI: 0.91-0.93). Standardized incidence rates were consistent with previously published rates in the United States.

CONCLUSIONS:

We created and validated a large BCC registry to serve as a unique resource for studying BCCs.

PMID:
24002130
[PubMed - indexed for MEDLINE]
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