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Clinical judgment to estimate pretest probability in the diagnosis of Cushing's syndrome under a Bayesian perspective / Contribuição do julgamento clínico na estimativa da probabilidade pré-teste do diagnóstico da síndrome de Cushing sob a perspectiva Bayesiana
Cipoli, Daniel E.; Martinez, Edson Z.; Castro, Margaret de; Moreira, Ayrton C..
  • Cipoli, Daniel E.; University of Sao Paulo. FMRP. Ribeirao Preto. BR
  • Martinez, Edson Z.; University of Sao Paulo. FMRP. Ribeirao Preto. BR
  • Castro, Margaret de; University of Sao Paulo. FMRP. Ribeirao Preto. BR
  • Moreira, Ayrton C.; University of Sao Paulo. FMRP. Ribeirao Preto. BR
Arq. bras. endocrinol. metab ; 56(9): 633-637, Dec. 2012. ilus, tab
Article in English | LILACS | ID: lil-660278
ABSTRACT

OBJECTIVE:

To estimate the pretest probability of Cushing's syndrome (CS) diagnosis by a Bayesian approach using intuitive clinical judgment. MATERIALS AND

METHODS:

Physicians were requested, in seven endocrinology meetings, to answer three questions "Based on your personal expertise, after obtaining clinical history and physical examination, without using laboratorial tests, what is your probability of diagnosing Cushing's Syndrome?"; "For how long have you been practicing Endocrinology?"; and "Where do you work?". A Bayesian beta regression, using the WinBugs software was employed.

RESULTS:

We obtained 294 questionnaires. The mean pretest probability of CS diagnosis was 51.6% (95%CI 48.7-54.3). The probability was directly related to experience in endocrinology, but not with the place of work.

CONCLUSION:

Pretest probability of CS diagnosis was estimated using a Bayesian methodology. Although pretest likelihood can be context-dependent, experience based on years of practice may help the practitioner to diagnosis CS. Arq Bras Endocrinol Metab. 2012;56(9)633-7.
RESUMO

OBJETIVO:

Estimar a probabilidade pré-teste do diagnóstico de síndrome de Cushing (SC) por meio de julgamento clínico utilizando abordagem Bayesiana.

MATERIAIS E MÉTODOS:

Médicos res­ponderam a três perguntas, em sete congressos de endocrinologia. Após obtenção da história clínica/exame físico, sem exames laboratoriais, apenas com base em sua experiência pessoal, qual a probabilidade de diagnosticar SC?; Há quanto tempo você pratica endocrinologia?; Onde você trabalha? Uma regressão beta Bayesiana, utilizando o software WinBugs, foi empregada.

RESULTADOS:

Foram obtidos 294 questionários. A estimativa Bayesiana da probabilidade média de diagnosticar SC foi 51,6% (IC 95% 48,7-54,3). Houve relação direta entre probabilidade de diagnosticar SC e experiência da prática endócrina, porém não com o local de trabalho.

CONCLUSÃO:

A probabilidade pré-teste do diagnóstico de SC foi estimada utilizando uma metodologia Bayesiana. Embora a probabilidade pré-teste possa ser dependente do contexto, a experiência de anos de prática pode auxiliar no diagnóstico intuitivo da CS. Arq Bras Endocrinol Metab. 2012;56(9)633-7.
Subject(s)


Full text: Available Index: LILACS (Americas) Main subject: Clinical Competence / Cushing Syndrome / Endocrinology / Judgment Type of study: Diagnostic study / Prognostic study / Risk factors Limits: Humans Language: English Journal: Arq. bras. endocrinol. metab Journal subject: Endocrinology / Metabolism Year: 2012 Type: Article / Project document Affiliation country: Brazil Institution/Affiliation country: University of Sao Paulo/BR

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Full text: Available Index: LILACS (Americas) Main subject: Clinical Competence / Cushing Syndrome / Endocrinology / Judgment Type of study: Diagnostic study / Prognostic study / Risk factors Limits: Humans Language: English Journal: Arq. bras. endocrinol. metab Journal subject: Endocrinology / Metabolism Year: 2012 Type: Article / Project document Affiliation country: Brazil Institution/Affiliation country: University of Sao Paulo/BR