Evidence map›Paper›PMID 35197168›Full record

ArticleThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease2022

Use of a molecular bacterial load assay to distinguish between active TB and post-TB lung disease.

P M Mbelele, W Sabiiti, S K Heysell, E Sauli, E A Mpolya, S Mfinanga, S H Gillespie, K K Addo, G Kibiki, D J Sloan and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07067528 (The Feasibility and Acceptability of a Diagnostic Algorithm for Timely Post-tuberculosis Lung Disease Diagnosis at Primary Health Care Facilities in Mbarara, Uganda.), which is not on this map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT07067528 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

The Feasibility and Acceptability of a Diagnostic Algorithm for Timely Post-tuberculosis Lung Disease Diagnosis at Primary Health Care Facilities in Mbarara, Uganda.

TypeinterventionalSponsorMbarara University of Science and TechnologyRan2026 to 2029Enrolled80ConditionsPost Pulmonary Tuberculosis, Post-Tuberculous BronchiectasisArmsA novel PTLD clinical diagnostic algorithm
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Diagnosing Tuberculosis: What Do New Technologies Allow Us to (Not) Do?Respiration; international review of thoracic diseases · 2022
    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

11 authors.

P M MbeleleKibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, Tanzania, Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania.
W SabiitiDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, Scotland, UK.
S K HeysellDivision of Infectious Diseases and International Health, University of Virginia, Charlottesville, VA, USA.
E SauliDepartment of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania.
E A MpolyaDepartment of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania.
S MfinangaDepartment of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania, National Institute for Medical Research (NIMR), Muhimbili Center, Dar es salaam, Tanzania.
S H GillespieDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, Scotland, UK.
K K AddoDepartment of Bacteriology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
G KibikiKibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, Tanzania, East African Health Research Commission (EAHRC), Bujumbura, Burundi.
D J SloanDivision of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, Scotland, UK.
S G MpagamaKibong´oto Infectious Diseases Hospital, Sanya Juu, Siha, Kilimanjaro, Tanzania, Department of Global Health and Biomedical Sciences, School of Life Sciences and Bioengineering, Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania.

Funding

Urine Colorimetry for Tuberculosis Pharmacokinetics Evaluation in Children and AdultsR01AI137080 · NIAID · UNIVERSITY OF VIRGINIA · PI Scott K Heysell, Leonid Kagan · 2018 to 2026
$6.3M
Diagnostics and Pharmacotherapy for Severe Forms of TBU01AI115594 · NIAID · UNIVERSITY OF VIRGINIA · PI HEYSELL, SCOTT K, HOUPT, ERIC R · 2015 to 2019
$3.0M
EPA EP-C-15-008European & Developing Countries Clinical Trials Partnership (EDCTP) TMA2016SF-1463NIAID NIH HHS R01 AI137080NIAID NIH HHS U01 AI115594Wellcome Trust
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Latent TuberculosisLung DiseasesMycobacterium tuberculosisAntigens, BacterialBacterial LoadHumansAntigens, Bacterial

Identifiers

PMID35197168
PMCPMC8886960

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.