Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2021 Oct 13;11:20314. doi: 10.1038/s41598-021-98321-0

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2021

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

Estimations of the fourth algorithm in the three analyses. The fourth algorithm was made up of RA according to hospital discharge records or emergency department admissions (ICD-9 code, 714*) OR RA according to exemption code from co-payment (006). Sensitivity (percentage of patients rightly classified as having rheumatoid arthritis (RA) by the algorithm within the RA patients); specificity (percentage of patients rightly classified as non-having RA by the algorithm within non-RA patients); positive predictive value (percentage of patients rightly classified as RA by the algorithm within all patients classified as RA by the algorithm) and negative predictive value (proportion of patients rightly classified as non-RA by the algorithm within all patients classified as non-RA by the algorithm) were calculated in the three analyses. The main analysis included all patients in the reference sample even those with missing diagnosis, classified as non-RA patients. The first sensitivity analysis excluded patients with missing diagnosis in the reference. The second sensitivity analysis stratified patients according age into two groups: patients under 65 years old and patients over 65 years. 95% CI 95% confidence interval, NPV negative predictive value, PPV positive predictive value, RA rheumatoid arthritis.