Predicting smear negative pulmonary tuberculosis with classification trees and logistic regression: a cross-sectional study

Mello, Fernanda C arvalho de Queiroz; Bastos, Luiz G ustavo do Valle; Soares, Samira Silva Santos; Rezende, Valeria M; Conde, Marcus Barreto; Chaisson, Richard E.; Kritski, Afrânio Lineu; Ruffino-Netto, Antônio; Werneck, Guilherme Loureiro

doi:10.1186/1471-2458-6-43

Cited by 63 publications

(61 citation statements)

References 20 publications

(17 reference statements)

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“…progressive weight loss) were also absent. 1,2,23,24 These results suggest that IGRA may have a role to assist management of hospitalized patients suspected of active PTB, in conjunction with existing diagnostic modalities, through risk stratification and the identification of 'non-PTB' cases.…”

Section: Discussionmentioning

confidence: 93%

Interferon gamma release assay for differentiating tuberculosis among pneumonia cases in acute healthcare setting

Lui

Lee

Cheung

et al. 2011

Journal of Infection

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Section: Discussionmentioning

confidence: 93%

Interferon gamma release assay for differentiating tuberculosis among pneumonia cases in acute healthcare setting

Lui

Lee

Cheung

et al. 2011

Journal of Infection

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“…It may therefore be useful in cases with no bacteriological confi rmation, which would eliminate the possibility of patients receiving nonspecifi c treatments. Around 30% of suspected TB cases are treated in an empirical manner without bacteriological confi rmation based on a set of clinical, epidemiological, and laboratory criteria or on radiological evaluation (41) .…”

Section: Discussionmentioning

confidence: 99%

Single-tube nested PCR assay with in-house DNA extraction for Mycobacterium tuberculosis detection in blood and urine

Lima

Guedes

Lima

et al. 2015

Rev. Soc. Bras. Med. Trop.

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Introduction: Molecular analyses are auxiliary tools for detecting Koch's bacilli in clinical specimens from patients with suspected tuberculosis (TB). However, there are still no effi cient diagnostic tests that combine high sensitivity and specifi city and yield rapid results in the detection of TB. This study evaluated single-tube nested polymerase chain reaction (STNPCR) as a molecular diagnostic test with low risk of cross contamination for detecting Mycobacterium tuberculosis in clinical samples. Methods: Mycobacterium tuberculosis deoxyribonucleic acid (DNA) was detected in blood and urine samples by STNPCR followed by agarose gel electrophoresis. In this system, reaction tubes were not opened between the two stages of PCR (simple and nested). Results: STNPCR demonstrated good accuracy in clinical samples with no cross contamination between microtubes. Sensitivity in blood and urine, analyzed in parallel, was 35%-62% for pulmonary and 41%-72% for extrapulmonary TB. The specifi city of STNPCR was 100% in most analyses, depending on the type of clinical sample (blood or urine) and clinical form of disease (pulmonary or extrapulmonary). Conclusions: STNPCR was effective in detecting TB, especially the extrapulmonary form for which sensitivity was higher, and had the advantage of less invasive sample collection from patients for whom a spontaneous sputum sample was unavailable. With low risk of cross contamination, the STNPCR can be used as an adjunct to conventional methods for diagnosing TB.

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“…Among statistical models that have been used to assist medical procedures, one can enumerate Bayesian networks, multivariate logistic regression, neural networks (El-Solh et al, 1999) and classification trees (Mello, 2006). Artificial Neural Network (ANN) is a biological inspired intelligence model, capable to learn through examples and to generalize, i.e.…”

Section: Neural Networkmentioning

confidence: 99%

A Decision Support System Based on Artificial Neural Networks for Pulmonary Tuberculosis Diagnosis

Maidantchik¹,

Seixas²,

Grael³

et al. 2011

Efficient Decision Support Systems - Practice and Challenges in Biomedical Related Domain

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Predicting smear negative pulmonary tuberculosis with classification trees and logistic regression: a cross-sectional study

Abstract: Background: Smear negative pulmonary tuberculosis (SNPT) accounts for 30% of pulmonary tuberculosis cases reported yearly in Brazil. This study aimed to develop a prediction model for SNPT for outpatients in areas with scarce resources.

Cited by 63 publications

References 20 publications

Interferon gamma release assay for differentiating tuberculosis among pneumonia cases in acute healthcare setting

Interferon gamma release assay for differentiating tuberculosis among pneumonia cases in acute healthcare setting

Single-tube nested PCR assay with in-house DNA extraction for Mycobacterium tuberculosis detection in blood and urine

A Decision Support System Based on Artificial Neural Networks for Pulmonary Tuberculosis Diagnosis

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