Evidence map›Paper›PMID 30616533›Full record

ArticleBMC infectious diseases2019

Time delay and associated mortality from negative smear to positive Xpert MTB/RIF test among TB/HIV patients: a retrospective study.

Miguelhete Lisboa, Inês Fronteira, Estefano Colove, Marques Nhamonga, Maria do Rosário O Martins

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 35 citations in OpenAlex.

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  9. Effect of sputum quality and role of XpertAfrican journal of laboratory medicine · 2022
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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

5 authors at 2 institutions in 3 countries.

Miguelhete LisboaCentro de Investigação Operacional da Beira (CIOB), Instituto Nacional de Saúde (INS), Rua Correia de Brito #1323 - Ponta-Gea, Beira, Mozambique. miguelhetelisboa@gmail.com.ORCID http://orcid.org/0000-0002-3759-7715
Inês FronteiraGlobal Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical (IHMT), Universidade NOVA de Lisboa (UNL), Rua da Junqueira N° 100 |, 1349-008, Lisbon, Portugal.
Estefano ColoveCentro de Investigação Operacional da Beira (CIOB), Instituto Nacional de Saúde (INS), Rua Correia de Brito #1323 - Ponta-Gea, Beira, Mozambique.
Marques NhamongaCentro de Investigação Operacional da Beira (CIOB), Instituto Nacional de Saúde (INS), Rua Correia de Brito #1323 - Ponta-Gea, Beira, Mozambique.
Maria do Rosário O MartinsGlobal Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical (IHMT), Universidade NOVA de Lisboa (UNL), Rua da Junqueira N° 100 |, 1349-008, Lisbon, Portugal.
Instituto de Medicina Tropical · PYInstituto Nacional de Saúde · MZ

Funding

The Special Programme for Research and Training in Tropical Diseases (TDR) and co-sponsored by the United Nations Children's Fund (UNICEF), United Nations Development Programme (UNDP), World Bank and World Health Organization (WHO) B40151/2014
6 · The paper itself

Abstract

backgroundThe GeneXpert MTB/RIF Assay (Xpert®) is known to be a feasible, effective and a hopeful tool for rapid tuberculosis (TB) diagnosis and treatment. However, little is known about the time delay caused by initial negative sputum smear microscopy (NSSM), but consecutive positive Xpert TB test (PXTBt) and its association with TB mortality in resource-constrained settings. We aimed to estimate the median time delay between initial NSSM but consecutive PXTBt and TB treatment initiation and its association with TB mortality among TB/HIV co-infected patients in Beira, Mozambique.

methodswe used data from a retrospective cohort study of TB/HIV co-infected patients in six TB services in Beira city. The study included all patients that tested NSSM, followed by a PXTBt in the six health centers with TB services during the year 2015. Data were extracted from the laboratory and TB treatment registers. To assess the difference in median time delays between groups, Mann-Whitney and Kruskal-Wallis tests were computed. To analyze the associations between the time delays and TB mortality, logistic regression model was used.

resultsAmong the 283 patients included in the study, median (IQR) age was 31 (17) years, 59.0% were males, 57.6% in the WHO clinical fourth stage of HIV. The median (IQR) values for diagnostic delay, treatment delay and total time delay was 10 (9) days, 13 (12) days and 28 (20) days, respectively. For TB/HIV co-infected patients who tested negative for smear microscopy initially, a total time delay of one month or longer was associated with high mortality (aOR = 12.40, 95% CI: 5.70-22.10).

conclusionOur study indicates that delays in TB diagnosis and treatment resulting from initial NSSM, but consecutive PXTBt are common in Beira city and are one of the main factors associated with TB mortality among TB/HIV co-infected patients. Applying GeneXpert assay as gold standard for HIV-positive patients with suspected pulmonary TB or replacing the sputum smear microscopy by Xpert assay and its availability within 24 h is urgently needed to ensure early diagnosis and treatment, and to maximize the impact of the few resources available in the country.

Indexed as

AdolescentAdultCohort StudiesCoinfectionDelayed DiagnosisFemaleHIV InfectionsHumansMaleMiddle AgedMolecular Diagnostic TechniquesMozambiqueMycobacterium tuberculosisRetrospective StudiesRifampinSputumRifampinBeira-MozambiqueDelay TB diagnosis & treatmentGeneXpert MTB/RIFNegative smear microscopyTB/HIV co-infectionTB mortality

Identifiers

PMID30616533
PMCPMC6322291
OpenAlexW2947596338

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.