Evaluation of 4 Algorithms to Identify Incident Syphilis Among HIV-Positive Men Who Have Sex With Men Engaged in Primary Care.
Sex Transm Dis
; 46(4): e38-e41, 2019 04.
Article
em En
| MEDLINE
| ID: mdl-30383620
ABSTRACT
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Atenção Primária à Saúde
/
Algoritmos
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Sífilis
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Homossexualidade Masculina
Tipo de estudo:
Diagnostic_studies
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Etiology_studies
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Evaluation_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Humans
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Male
Idioma:
En
Revista:
Sex Transm Dis
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Marrocos