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Incorporation bias in studies of diagnostic tests: how to avoid being biased about bias

Published online by Cambridge University Press:  21 May 2015

Andrew Worster  and
Christopher Carpenter
Andrew Worster*
Affiliation:
Division of Emergency Medicine, McMaster University, Hamilton, Ont.
Christopher Carpenter
Affiliation:
Department of Emergency Medicine, Washington University, St. Louis, Miss.
*
Department of Emergency Medicine, Hamilton Health Sciences and McMaster University, 237 Barton St. E., Hamilton ON L8N 3Z5; worster@hhsc.ca

Abstract

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Keywords

diagnostic testreference standardincorporation bias
Type
Education • Enseignement
Information
Canadian Journal of Emergency Medicine , Volume 10 , Issue 2 , March 2008 , pp. 174 - 175
Copyright
Copyright © Canadian Association of Emergency Physicians 2008

References

1.Bossuyt, PM, Reitsma, JB, Bruns, DE, et al. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Ann Intern Med 2003;138:W1–12.Google Scholar
2.Statement STARD. Standards for the reporting of diagnostic accuracy studies. Available: http://www.stard-statement.org (accessed 2008 Jan 11).Google Scholar
3.Knottnerus, JA, Muris, JW. Assessment of the accuracy of diagnostic tests: the cross-sectional study. J Clin Epidemiol 2003;56:1118–28.Google Scholar
4.Rutjes, AW, Reitsma, JB, Coomarasamy, A, et al. Evaluation of diagnostic tests when there is no gold standard. A review of methods. Health Technol Assess 2007;11:1–72.Google Scholar
5.Mater, A, Shroff, M, Al-Farsi, S, et al. Diagnostic accuracy of shunt series and CT in the initial evaluation of cerebrospinal fluid shunt malfunction in children presenting to the emergency department. CJEM 2008;10:131–5.Google Scholar
6.Kim, TY, Brown, L, Stewart, GM. Test characteristics of parent’s visual analog scale score in predicting ventriculoperitoneal shunt malfunction in the pediatric emergency department. Pediatr Emerg Care 2007;23:549–52.Google Scholar
7.Kim, TY, Stewart, G, Voth, M, et al. Signs and symptoms of cerebrospinal fluid shunt malfunction in the pediatric emergency department. Pediatr Emerg Care 2006;22:28–34.Google Scholar
8.Lijmer, JG, Mol, BW, Heisterkamp, S, et al. Empirical evidence of design-related bias in studies of diagnostic tests. JAMA 1999;282:1061–6.Google Scholar
9.Kramer, MS, Roberts-Bräuer, R, Williams, RL. Bias and ‘over-call’ in interpreting chest radiographs in young febrile children. Pediatrics 1992;90:11–3.Google Scholar
10.Rutjes, AW, Reitsma, JB, Di Nisio, M, et al. Evidence of bias and variation in diagnostic accuracy studies. CMAJ 2006;174:469–76.Google Scholar
11.Mower, WR. Evaluating bias and variability in diagnostic test reports. Ann Emerg Med 1999;33:85–91.Google Scholar