Evidence map›Paper›PMID 38787869›Full record

ArticlePloS one2024

Tuberculosis Immunoreactivity Surveillance in Malawi (Timasamala)-A protocol for a cross-sectional Mycobacterium tuberculosis immunoreactivity survey in Blantyre, Malawi.

Hannah M Rickman, Mphatso D Phiri, Helena R A Feasey, Hannah Mbale, Marriott Nliwasa, Robina Semphere, George Chagaluka, Katherine Fielding, Henry C Mwandumba, Katherine C Horton and 6 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

16 authors.

Hannah M RickmanClinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-3502-0744
Mphatso D PhiriMalawi Liverpool Wellcome Programme, Blantyre, Malawi.ORCID 0000-0002-4072-9715
Helena R A FeaseyClinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Hannah MbaleMalawi Liverpool Wellcome Programme, Blantyre, Malawi.
Marriott NliwasaHelse Nord TB Initiative, Kamuzu University of Health Sciences, Blantyre, Malawi.ORCID 0000-0002-3100-5512
Robina SemphereHelse Nord TB Initiative, Kamuzu University of Health Sciences, Blantyre, Malawi.
George ChagalukaDepartment of Paediatrics, Queen Elizabeth Central Hospital, Blantyre, Malawi.
Katherine FieldingDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-6524-3754
Henry C MwandumbaMalawi Liverpool Wellcome Programme, Blantyre, Malawi.ORCID 0000-0003-4470-3608
Katherine C HortonDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-7542-4065
Emily S NightingaleDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Marc Y R HenrionMalawi Liverpool Wellcome Programme, Blantyre, Malawi.ORCID 0000-0003-1242-839X
Kuzani MbenderaMalawi National Tuberculosis and Leprosy Control Programme, Lilongwe, Malawi.
James A MpungaMalawi National Tuberculosis and Leprosy Control Programme, Lilongwe, Malawi.
Elizabeth L CorbettClinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Peter MacPhersonClinical Research Department, London School of Hygiene & Tropical Medicine, London, United Kingdom.ORCID 0000-0002-0329-9613

Funding

Wellcome Trust
6 · The paper itself

Abstract

Tuberculosis (TB) transmission and prevalence are dynamic over time, and heterogeneous within populations. Public health programmes therefore require up-to-date, accurate epidemiological data to appropriately allocate resources, target interventions, and track progress towards End TB goals. Current methods of TB surveillance often rely on case notifications, which are biased by access to healthcare, and TB disease prevalence surveys, which are highly resource-intensive, requiring many tens of thousands of people to be tested to identify high-risk groups or capture trends. Surveys of "latent TB infection", or immunoreactivity to Mycobacterium tuberculosis (Mtb), using tests such as interferon-gamma release assays (IGRAs) could provide a way to identify TB transmission hotspots, supplementing information from disease notifications, and with greater spatial and temporal resolution than is possible to achieve in disease prevalence surveys. This cross-sectional survey will investigate the prevalence of Mtb immunoreactivity amongst young children, adolescents and adults in Blantyre, Malawi, a high HIV-prevalence city in southern Africa. Through this study we will estimate the annual risk of TB infection (ARTI) in Blantyre and explore individual- and area-level risk factors for infection, as well as investigating geospatial heterogeneity of Mtb infection (and its determinants), and comparing these to the distribution of TB disease case-notifications. We will also evaluate novel diagnostics for Mtb infection (QIAreach QFT) and sampling methodologies (convenience sampling in healthcare settings and community sampling based on satellite imagery), which may increase the feasibility of measuring Mtb infection at large scale. The overall aim is to provide high-resolution epidemiological data and provide new insights into methodologies which may be used by TB programmes globally.

Indexed as

Mycobacterium tuberculosisTuberculosisAdolescentAdultChildCross-Sectional StudiesFemaleHumansInterferon-gamma Release TestsMalawiMalePrevalenceRisk FactorsYoung Adult

Identifiers

PMID38787869
PMCPMC11125513

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.