4.1 Article

Evaluation of 4 Algorithms to Identify Incident Syphilis Among HIV-Positive Men Who Have Sex With Men Engaged in Primary Care

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SEXUALLY TRANSMITTED DISEASES
卷 46, 期 4, 页码 E38-E41

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LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/OLQ.0000000000000938

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  1. NIAID [R24 AI067039]
  2. Fenway/Harvard [P30 AI060354]

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We developed 4 algorithms for syphilis among HIV-positive men who have sex with men who engaged in primary care in 2016 to 2017. Clinician-based diagnosis from chart reviews was the gold standard. Sensitivities ranged from 74.2% to 93.9%. Specificities were greater than 99% with positive and negative predictive values of greater than 95%. Algorithms that incorporated treatment data performed best.

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