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February 2021; 11 (1) Review

Systematic Review and Meta-Analysis of Diagnostic Agreement in Suspected TIA

Seong Hoon Lee, Kah Long Aw, Ferghal McVerry, Mark O. McCarron
First published March 13, 2020, DOI: https://doi.org/10.1212/CPJ.0000000000000830
Seong Hoon Lee
School of Medicine, Dentistry and Biomedical Sciences (SHL, KLA), Queen's University Belfast, Belfast; and Department of Neurology (FM, MOM), Altnagelvin Hospital, Derry, United Kingdom.
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Kah Long Aw
School of Medicine, Dentistry and Biomedical Sciences (SHL, KLA), Queen's University Belfast, Belfast; and Department of Neurology (FM, MOM), Altnagelvin Hospital, Derry, United Kingdom.
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Ferghal McVerry
School of Medicine, Dentistry and Biomedical Sciences (SHL, KLA), Queen's University Belfast, Belfast; and Department of Neurology (FM, MOM), Altnagelvin Hospital, Derry, United Kingdom.
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Mark O. McCarron
School of Medicine, Dentistry and Biomedical Sciences (SHL, KLA), Queen's University Belfast, Belfast; and Department of Neurology (FM, MOM), Altnagelvin Hospital, Derry, United Kingdom.
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Systematic Review and Meta-Analysis of Diagnostic Agreement in Suspected TIA
Seong Hoon Lee, Kah Long Aw, Ferghal McVerry, Mark O. McCarron
Neurol Clin Pract Feb 2021, 11 (1) 57-63; DOI: 10.1212/CPJ.0000000000000830

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Abstract

Objective To determine the interrater variability for TIA diagnostic agreement among expert clinicians (neurologists/stroke physicians), administrative data, and nonspecialists.

Methods We performed a meta-analysis of studies from January 1984 to January 2019 using MEDLINE, EMBASE, and PubMed. Two reviewers independently screened for eligible studies and extracted interrater variability measurements using Cohen's kappa scores to assess diagnostic agreement.

Results Nineteen original studies consisting of 19,421 patients were included. Expert clinicians demonstrate good agreement for TIA diagnosis (κ = 0.71, 95% confidence interval [CI] = 0.62–0.81). Interrater variability between clinicians' TIA diagnosis and administrative data also demonstrated good agreement (κ = 0.68, 95% CI = 0.62–0.74). There was moderate agreement (κ = 0.41, 95% CI = 0.22–0.61) between referring clinicians and clinicians at TIA clinics receiving the referrals. Sixty percent of 748 patient referrals to TIA clinics were TIA mimics.

Conclusions Overall agreement between expert clinicians was good for TIA diagnosis, although variation still existed for a sizeable proportion of cases. Diagnostic agreement for TIA decreased among nonspecialists. The substantial number of patients being referred to TIA clinics with other (often neurologic) diagnoses was large, suggesting that clinicians, who are proficient in managing TIAs and their mimics, should run TIA clinics.

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  • Funding information and disclosures are provided at the end of the article. Full disclosure form information provided by the authors is available with the full text of this article at Neurology.org/cp.

  • Received October 28, 2019.
  • Accepted January 7, 2020.
  • © 2020 American Academy of Neurology
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