Evidence map›Paper›PMID 31550246›Full record

ArticlePloS one2019

Accuracy of Determine TB-LAM Ag to detect TB in HIV infected patients associated with diagnostic methods used in Brazilian public health units.

Aline Benjamin, Solange Cesar Cavalcante, Leda Fátima Jamal, Denise Arakaki-Sanchez, Josué Nazareno de Lima, Jose Henrique Pilotto, Francisco Ivanildo de Oliveira Junior, Tâmara Newman Lobato Souza, Maria Cristina Lourenço, Maeve Brito de Mello and 3 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Aline BenjaminClinical Reasearch Laboratory on Mycobacteria, National Institute of Infectious Diseases Evandro Chagas, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.ORCID 0000-0002-1009-7323
Solange Cesar CavalcanteClinical Reasearch Laboratory on Mycobacteria, National Institute of Infectious Diseases Evandro Chagas, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.ORCID 0000-0002-4154-7016
Leda Fátima JamalSTD/AIDS Reference and Training Center, Health Secretariat of State of São Paulo, Brazil.
Denise Arakaki-SanchezNational Tuberculosis Program, Ministry of Health, Brasilia, Brazil.
Josué Nazareno de LimaNational Tuberculosis Program, Ministry of Health, Brasilia, Brazil.
Jose Henrique PilottoSTD/AIDS Service, Nova Iguaçu General Hospital, Rio de Janeiro, Brazil.
Francisco Ivanildo de Oliveira JuniorInstitute of Infectious Disease Emilio Ribas, São Paulo, Brazil.ORCID 0000-0003-0767-0536
Tâmara Newman Lobato SouzaInstitute of Infectious Disease Emilio Ribas, São Paulo, Brazil.
Maria Cristina LourençoBacteriology and Bioassay Laboratory, National Institute of Infectious Diseases Evandro Chagas, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.ORCID 0000-0003-0382-9108
Maeve Brito de MelloPan American Health Organization, Washington DC, United States of America.
Pedro Emmanuel Alvarenga Americano do BrasilClinical Research Laboratory on Immunization and Surveillance in Health, National Institute of Infectious Diseases Evandro Chagas, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.ORCID 0000-0002-6700-2268
Draurio BarreiraUnitaid, Geneva, Switzerland.ORCID 0000-0002-9626-7740
Valeria RollaClinical Reasearch Laboratory on Mycobacteria, National Institute of Infectious Diseases Evandro Chagas, Oswaldo Cruz Foundation, Rio de Janeiro, Brazil.

Funding

PEPFAR
6 · The paper itself

Abstract

backgroundDetermine TB-LAM Ag (LAM) is a point of care test developed to diagnose tuberculosis (TB). The aim of this study was to evaluate the diagnostic performance of LAM in people living with HIV using Brazilian public health network algorithm for TB diagnosis. METHODS AND

findingsA cross-sectional study design was used to enroll 199 adult patients in two sites in Rio de Janeiro and two in São Paulo. The study enrolled HIV-infected patients with CD4 counts ≤200 cells/mm3 (in the Alere PIMA CD4 assay at study screening), patients coughing for at least 2 weeks or presenting a chest radiography suggestive of TB. LAM, in conjunction with sputum smear microscopy or Xpert MTB/RIF (Xpert) as compared to Mycobacterium tuberculosis culture, which was used as a reference standard. TB prevalence was 24.6%. Overall accuracy of LAM was 79.9% (73.8%-84.9%), positive and negative predictive values were 62.2% (46.1%-75.9%) and 84% (77.5%-88.8%), respectively. The overall LAM sensitivity was 46.9% (33.7%-60.6%) and specificity was 90.7% (84.9%-94.4%). The best performance of LAM was observed among patients with CD4 counts ≤50 cells/mm3 (sensitivity = 70.4% and specificity = 85.9%). When 2 respiratory smears were used in conjunction with LAM, sensitivity increased 22%, as compared to just 2 smears. Furthermore, LAM when used in conjunction with two respiratory smears, was as sensitive as compared to a single one. However, no improvement in TB diagnosis occurred when LAM was used with Xpert as compared to Xpert alone. Among 14 LAM false positive tests, Non-Tuberculosis Mycobacteria were isolated in three cases.

conclusionLAM is a point of care test that increased TB diagnosis in immunosuppressed HIV-infected patients when used in conjunction with smear microscopy, but not when used with Xpert in Brazilian public health network sites. Use of LAM test should be considered in settings where immunosuppressed HIV patients need rapid TB diagnosis.

Indexed as

CoinfectionDiagnostic Tests, RoutinePoint-of-Care TestingAdultBrazilCD4 Lymphocyte CountCross-Sectional StudiesFemaleHIV InfectionsHumansMaleMiddle AgedPublic Health SurveillanceRadiography, ThoracicSensitivity and SpecificityTuberculosis

Identifiers

PMID31550246
PMCPMC6759169

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.