2010
DOI: 10.4067/s0716-10182010000500005
|View full text |Cite
|
Sign up to set email alerts
|

Uso de tests diagnósticos en la práctica clínica (Parte 2): Aplicación clínica y utilidad de un test diagnóstico

Abstract: The clinical usefulness of a diagnostic test is determined by the extent to which it helps to modify the pretest probability of occurrence of a certain diagnosis. For this purpose, the calculation and application of likelihood ratios (LR) is a very useful tool. Every possible result of a test has a LR, which allows for an estimation of the magnitude by which the pretest probability increases or decreases, thereby helping the physician rule out, confirm, or continue investigating a diagnosis with new tests. In … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0
1

Year Published

2011
2011
2023
2023

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(5 citation statements)
references
References 5 publications
(8 reference statements)
0
4
0
1
Order By: Relevance
“…These parameters are the likelihood ratio, test accuracy, diagnostic OR, and Youden index (J). Likelihood ratios combine sensitivity and specificity to indicate the degree of certainty with which an infected patient can be detected in the presence of infection or a healthy individual in its absence [ 36 ]. Accuracy reflects the likelihood of valid results in all healthy and sick individuals tested.…”
Section: Discussionmentioning
confidence: 99%
“…These parameters are the likelihood ratio, test accuracy, diagnostic OR, and Youden index (J). Likelihood ratios combine sensitivity and specificity to indicate the degree of certainty with which an infected patient can be detected in the presence of infection or a healthy individual in its absence [ 36 ]. Accuracy reflects the likelihood of valid results in all healthy and sick individuals tested.…”
Section: Discussionmentioning
confidence: 99%
“…Tal es el caso del cociente de probabilidades, razón de verosimilitudes o razón de probabilidad, que permite determinar cuán probable es identificar a un sujeto infectado o una persona sana según la presencia o ausencia de la infección, así como relacionar la sensibilidad y la especificidad de una prueba en un solo parámetro 50 . Asimismo, es importante incluir en los estudios futuros otros índices de valoración de pruebas diagnósticas que permitan complementar los datos aportados por los estudios ejecutados y establecer la utilidad diagnóstica de las pruebas evaluadas hasta la fecha.…”
Section: Figura 1 Algoritmo De Selección De Los Artículosunclassified
“…The former is the proportion of true positive patients to false positive patients (sensitivity/1 − specificity), and the latter, the proportion of false negative patients to true negative patients (1 – sensitivity/specificity). For a diagnostic methodology (e.g., the naive Bayes classifier), a higher LR+ and lower LR− indicate greater accuracy [ 35 ].…”
Section: Methodsmentioning
confidence: 99%