A

Covariate-specific ROC curve analysis can accommodate differences between covariate subgroups in the evaluation of diagnostic accuracy

Journal of Clinical Epidemiology, vol. 160, pp. 14–23

Abstract

OBJECTIVES: We present an illustrative application of methods that account for covariates in receiver operating characteristic (ROC) curve analysis, using individual patient data on D-dimer testing for excluding pulmonary embolism. STUDY DESIGN AND SETTING: Bayesian nonparametric covariate-specific ROC curves were constructed to examine the performance/positivity thresholds in covariate subgroups. Standard ROC curves were constructed. Three scenarios were outlined based on comparison between subgroups and standard ROC curve conclusion: (1) identical distribution/identical performance, (2) different distribution/identical performance, and (3) different distribution/different performance. Scenarios were illustrated using clinical covariates. Covariate-adjusted ROC curves were also constructed. RESULTS: Age groups had prominent differences in D-dimer concentration, paired with differences in performance (Scenario 3). Different positivity thresholds were required to achieve the same level of sensitivity. D-dimer had identical performance, but different distributions for YEARS algorithm items (Scenario 2), and similar distributions for sex (Scenario 1). For the later covariates, comparable positivity thresholds achieved the same sensitivity. All covariate-adjusted models had AUCs comparable to the standard approach. CONCLUSION: Subgroup differences in performance and distribution of results can indicate that the conventional ROC curve is not a fair representation of test performance. Estimating conditional ROC curves can improve the ability to select thresholds with greater applicability.

Authors 7

  1. Jenny Lee corresponding

    Amsterdam UMC Location University of Amsterdam

    Affiliation as printed

    Epidemiology and Data Science, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands. Electronic address: j.a.lee@amsterdamumc.nl

    Epidemiology and Data Science, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands

  2. Amsterdam UMC Location University of Amsterdam · Amsterdam University Medical Centers · Amsterdam Cardiovascular Sciences

    Affiliation as printed

    Department of Vascular Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands; Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Amsterdam, The Netherlands

    Amsterdam Cardiovascular Sciences, Pulmonary Hypertension & Thrombosis, Amsterdam, The Netherlands

    Department of Vascular Medicine, Amsterdam UMC, location University of Amsterdam, Amsterdam, The Netherlands

  3. Fukushima Medical University · Utrecht University · University Medical Center Utrecht

    Affiliation as printed

    Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands; Department of General Medicine, Shirakawa Satellite for Teaching And Research (STAR), Fukushima Medical University, 2-1 Toyochi Kamiyajiro, Shirakawa, Fukushima, 961-0005, Japan

    Department of General Medicine, Shirakawa Satellite for Teaching And Research (STAR), Fukushima Medical University, 2-1 Toyochi Kamiyajiro, Shirakawa, Fukushima, 961-0005, Japan

    Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands

  4. Leiden University · Leiden University Medical Center

    Affiliation as printed

    Department of Medicine - Thrombosis and Hemostasis, Leiden University Medical Center, Leiden University, Leiden, The Netherlands

  5. Utrecht University · University Medical Center Utrecht

    Affiliation as printed

    Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands

  6. Fukushima Medical University · University of Virginia

    Affiliation as printed

    Department of General Medicine, Shirakawa Satellite for Teaching And Research (STAR), Fukushima Medical University, 2-1 Toyochi Kamiyajiro, Shirakawa, Fukushima, 961-0005, Japan; Department of Data Science, University of Virginia, Charlottesville, VA, USA

    Department of Data Science, University of Virginia, Charlottesville, VA, USA

    Department of General Medicine, Shirakawa Satellite for Teaching And Research (STAR), Fukushima Medical University, 2-1 Toyochi Kamiyajiro, Shirakawa, Fukushima, 961-0005, Japan

  7. Amsterdam UMC Location University of Amsterdam

    Affiliation as printed

    Epidemiology and Data Science, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands

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References 33