Evidence map›Paper›PMID 39659443›Full record

ArticleEClinicalMedicine2024

Impact of a multicomponent strategy including decentralized molecular testing for tuberculosis on mortality: planned analysis of a cluster-randomized trial in Uganda.

Achilles Katamba, Tessa Mochizuki, Talemwa Nalugwa, Mariam Nantale, Denis Oyuku, Sarah Nabwire, Diana Babirye, Johnson Musinguzi, Annet Nakawesa, Irene Nekesa and 10 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

20 authors.

Achilles KatambaUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Tessa MochizukiDivision of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, USA.
Talemwa NalugwaUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Mariam NantaleUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Denis OyukuUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Sarah NabwireUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Diana BabiryeUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Johnson MusinguziUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Annet NakawesaUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Irene NekesaUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Stavia TuryahabweUganda Tuberculosis Implementation Research Consortium, Walimu, Kampala, Uganda.
Moses JolobaSchool of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
David W DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
David A J MooreLondon School of Hygiene & Tropical Medicine, London, UK.
J Lucian DavisPulmonary, Critical Care, and Sleep Medicine Section, Yale University, New Haven, CT, USA.
Priya SheteDivision of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, USA.
Katherine AdamsDivision of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, USA.
Tania RezaDivision of Pulmonary and Critical Care Medicine, San Francisco General Hospital, University of California San Francisco, San Francisco, USA.
Katherine FieldingLondon School of Hygiene & Tropical Medicine, London, UK.
Adithya CattamanchiCenter for Tuberculosis, University of California San Francisco, San Francisco, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
SIngle-saMPLE tuberculosis evaluation to facilitate linkage to care: The SIMPLE TB trialR01HL130192 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CATTAMANCHI, ADITHYA · 2016 to 2020
$3.2M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL130192
6 · The paper itself

Abstract

Background: Rapid diagnosis of tuberculosis (TB) is important for improving outcomes and reducing transmission. Previous studies assessing the impact of Xpert MTB/RIF (Xpert), a molecular assay that provides results within 2 h, on mortality have been inconclusive. In this planned analysis of a pragmatic cluster-randomized trial in Uganda, we assessed whether a multicomponent strategy, including decentralized Xpert testing, decreased mortality among adults evaluated for TB. Methods: Ten community health centers were randomized, using a computer-generated randomization sequence, to the XPEL-TB intervention (on-site Xpert testing plus implementation supports) and ten to routine TB care without any modifications (on-site smear microscopy and referral-based Xpert testing for selected patients). The trial included all adults ( Findings: Vital status was ascertained for 8413 of 9563 (88%) XPEL-TB trial participants who presented at the health centers from October 22, 2018 through February 29, 2020. The adjusted rate ratio (aRR) was 0.77 (95% CI: 0.47-1.28), comparing the intervention (145 deaths/3655 person-years) to routine care (154 deaths/3015 person-years). In sub-group analyses, point estimates for mortality were lower in the intervention arm among people without HIV (aRR = 0.50, 95% CI: 0.26-0.96) and among females (aRR = 0.64, 95% CI: 0.33-1.23). The mortality risk analysis yielded similar results. Interpretation: Consistent point estimates favoring the intervention in our trial and previous ones suggest that Xpert testing may have an impact on mortality at community health centers. However, the magnitude of effect is small, and statistically significant results are unlikely to be attained within a single trial. Future trials of novel TB diagnostics at community health centers should focus on more proximal outcomes including TB detection and treatment initiation. Funding: This work was supported by the National Heart, Lung, and Blood Institute of the US National Institutes of Health under award number R01HL130192.

Indexed as

Diagnostic trialsTuberculosisXpert

Identifiers

PMID39659443
PMCPMC11629260

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.