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Predicting streptococcal pharyngitis in adults in primary care: a systematic review of the diagnostic accuracy of symptoms and signs and validation of the Centor score

Predicting streptococcal pharyngitis in adults in primary care: a systematic review of the diagnostic accuracy of symptoms and signs and validation of the Centor score
Predicting streptococcal pharyngitis in adults in primary care: a systematic review of the diagnostic accuracy of symptoms and signs and validation of the Centor score
Background: Stratifying patients with a sore throat into the probability of having an underlying bacterial or viral cause may be helpful in targeting antibiotic treatment. We sought to assess the diagnostic accuracy of signs and symptoms and validate a clinical prediction rule (CPR), the Centor score, for predicting group A ?-haemolytic streptococcal (GABHS) pharyngitis in adults (> 14 years of age) presenting with sore throat symptoms.

Methods: A systematic literature search was performed up to July 2010. Studies that assessed the diagnostic accuracy of signs and symptoms and/or validated the Centor score were included. For the analysis of the diagnostic accuracy of signs and symptoms and the Centor score, studies were combined using a bivariate random effects model, while for the calibration analysis of the Centor score, a random effects model was used.

Results: A total of 21 studies incorporating 4,839 patients were included in the meta-analysis on diagnostic accuracy of signs and symptoms. The results were heterogeneous and suggest that individual signs and symptoms generate only small shifts in post-test probability (range positive likelihood ratio (+LR) 1.45-2.33, -LR 0.54-0.72). As a decision rule for considering antibiotic prescribing (score ? 3), the Centor score has reasonable specificity (0.82, 95% CI 0.72 to 0.88) and a post-test probability of 12% to 40% based on a prior prevalence of 5% to 20%. Pooled calibration shows no significant difference between the numbers of patients predicted and observed to have GABHS pharyngitis across strata of Centor score (0-1 risk ratio (RR) 0.72, 95% CI 0.49 to 1.06; 2-3 RR 0.93, 95% CI 0.73 to 1.17; 4 RR 1.14, 95% CI 0.95 to 1.37).

Conclusions: Individual signs and symptoms are not powerful enough to discriminate GABHS pharyngitis from other types of sore throat. The Centor score is a well calibrated CPR for estimating the probability of GABHS pharyngitis. The Centor score can enhance appropriate prescribing of antibiotics, but should be used with caution in low prevalence settings of GABHS pharyngitis such as primary care.
67-[11pp]
Aalbers, Jolien
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O'Brien, Kirsty K.
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Chan, Wai-Sun
e91cea12-4711-4f66-b78e-1f3f3c6b0dd8
Falk, Gavin A.
e0a56aee-9349-4324-9b85-08bf8c8ab298
Teljeur, Conor
b0e899bc-f73e-47d3-99fb-c9827e921c5f
Dimitrov, Borislav D.
366d715f-ffd9-45a1-8415-65de5488472f
Fahey, Tom
c0fd145a-af82-4c37-bce0-1c2e3e30c0f9
Aalbers, Jolien
af0adb88-6726-4de0-af87-1e5df06a921f
O'Brien, Kirsty K.
f37fb7f3-541f-4f3b-954c-e66273961c8a
Chan, Wai-Sun
e91cea12-4711-4f66-b78e-1f3f3c6b0dd8
Falk, Gavin A.
e0a56aee-9349-4324-9b85-08bf8c8ab298
Teljeur, Conor
b0e899bc-f73e-47d3-99fb-c9827e921c5f
Dimitrov, Borislav D.
366d715f-ffd9-45a1-8415-65de5488472f
Fahey, Tom
c0fd145a-af82-4c37-bce0-1c2e3e30c0f9

Aalbers, Jolien, O'Brien, Kirsty K., Chan, Wai-Sun, Falk, Gavin A., Teljeur, Conor, Dimitrov, Borislav D. and Fahey, Tom (2011) Predicting streptococcal pharyngitis in adults in primary care: a systematic review of the diagnostic accuracy of symptoms and signs and validation of the Centor score. BMC Medicine, 9 (1), 67-[11pp]. (doi:10.1186/1741-7015-9-67). (PMID:21631919)

Record type: Article

Abstract

Background: Stratifying patients with a sore throat into the probability of having an underlying bacterial or viral cause may be helpful in targeting antibiotic treatment. We sought to assess the diagnostic accuracy of signs and symptoms and validate a clinical prediction rule (CPR), the Centor score, for predicting group A ?-haemolytic streptococcal (GABHS) pharyngitis in adults (> 14 years of age) presenting with sore throat symptoms.

Methods: A systematic literature search was performed up to July 2010. Studies that assessed the diagnostic accuracy of signs and symptoms and/or validated the Centor score were included. For the analysis of the diagnostic accuracy of signs and symptoms and the Centor score, studies were combined using a bivariate random effects model, while for the calibration analysis of the Centor score, a random effects model was used.

Results: A total of 21 studies incorporating 4,839 patients were included in the meta-analysis on diagnostic accuracy of signs and symptoms. The results were heterogeneous and suggest that individual signs and symptoms generate only small shifts in post-test probability (range positive likelihood ratio (+LR) 1.45-2.33, -LR 0.54-0.72). As a decision rule for considering antibiotic prescribing (score ? 3), the Centor score has reasonable specificity (0.82, 95% CI 0.72 to 0.88) and a post-test probability of 12% to 40% based on a prior prevalence of 5% to 20%. Pooled calibration shows no significant difference between the numbers of patients predicted and observed to have GABHS pharyngitis across strata of Centor score (0-1 risk ratio (RR) 0.72, 95% CI 0.49 to 1.06; 2-3 RR 0.93, 95% CI 0.73 to 1.17; 4 RR 1.14, 95% CI 0.95 to 1.37).

Conclusions: Individual signs and symptoms are not powerful enough to discriminate GABHS pharyngitis from other types of sore throat. The Centor score is a well calibrated CPR for estimating the probability of GABHS pharyngitis. The Centor score can enhance appropriate prescribing of antibiotics, but should be used with caution in low prevalence settings of GABHS pharyngitis such as primary care.

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Published date: 1 June 2011
Organisations: Primary Care & Population Sciences

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Local EPrints ID: 337366
URI: http://eprints.soton.ac.uk/id/eprint/337366
PURE UUID: cf2954a4-bca7-4521-ba33-c8aed8a74c1e

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Date deposited: 25 Apr 2012 11:22
Last modified: 14 Mar 2024 10:52

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Contributors

Author: Jolien Aalbers
Author: Kirsty K. O'Brien
Author: Wai-Sun Chan
Author: Gavin A. Falk
Author: Conor Teljeur
Author: Borislav D. Dimitrov
Author: Tom Fahey

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