Evidence map›Paper›PMID 37329893›Full record

ReviewThe Lancet. Microbe2023

Measuring indirect transmission-reducing effects in tuberculosis vaccine efficacy trials: why and how?

Kristin N Nelson, Gavin Churchyard, Frank Cobelens, Willem A Hanekom, Philip C Hill, Benjamin Lopman, Vidya Mave, Molebogeng X Rangaka, Johan Vekemans, Richard G White and 3 more

Abstract readReview
In one paragraph

Review in The Lancet. Microbe, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

13 authors.

Kristin N NelsonDepartment of Epidemiology, Rollins School of Public Health, Atlanta, GA, USA. Electronic address: knbratt@emory.edu.
Gavin ChurchyardAurum Institute, Parktown, South Africa.
Frank CobelensDepartment of Global Health and Amsterdam Institute for Global Health and Development, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands.
Willem A HanekomAfrica Health Research Institute, KwaZulu Natal, South Africa.
Philip C HillCentre for International Health, University of Otago, Dunedin, New Zealand.
Benjamin LopmanDepartment of Epidemiology, Rollins School of Public Health, Atlanta, GA, USA.
Vidya MaveJohns Hopkins Center for Infectious Diseases in India, Pune, India.
Molebogeng X RangakaInstitute for Global Health and MRC Clinical Trials Unit, University College London, London, UK.
Johan VekemansV4R, Brussels, Belgium.
Richard G WhiteTuberculosis Modelling Group, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Emily B WongAfrica Health Research Institute, KwaZulu Natal, South Africa; Division of Infectious Diseases, Department of Medicine, Heersink School of Medicine, University of Alabama Birmingham, Birmingham, AL, USA.
Leonardo MartinezDepartment of Epidemiology, School of Public Health, Boston University, Boston, MA, USA.
Alberto L García-BasteiroCentro de Investigação em Saude de Manhiça (CISM), Maputo, Mozambique; ISGlobal, Hospital Clínic-Universitat de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Barcelona, Spain.

Funding

Aurum Clinical Trials UnitUM1AI154463 · NIAID · AURUM INSTITUTE NPC · PI Gavin John Churchyard · 2021 to 2026
$8.1M
Emory/Georgia TB Research Advancement Center (TRAC)P30AI168386 · NIAID · EMORY UNIVERSITY · PI Neel Rajnikant Gandhi · 2022 to 2026
$5.8M
Defining drivers of TB transmission in the era of universal ART, and implications for finding the walking wellR01AI147321 · NIAID · LONDON SCH/HYGIENE & TROPICAL MEDICINE · PI GRANT, ALISON · 2019 to 2024
$2.3M
Estimating the Epidemiologic Impact of TB Vaccines using Mathematical ModelsK01AI166093 · NIAID · EMORY UNIVERSITY · PI Kristin Nicole Bratton Nelson · 2022 to 2026
$731k
Medical Research Council CCF17-7779NIAID NIH HHS K01 AI166093NIAID NIH HHS P30 AI168386NIAID NIH HHS R01 AI147321NIAID NIH HHS UM1 AI154463Wellcome TrustWellcome Trust 218261/Z/19/Z
6 · The paper itself

Abstract

Tuberculosis is the leading bacterial cause of death globally. In 2021, 10·6 million people developed symptomatic tuberculosis and 1·6 million died. Seven promising vaccine candidates that aim to prevent tuberculosis disease in adolescents and adults are currently in late-stage clinical trials. Conventional phase 3 trials provide information on the direct protection conferred against infection or disease in vaccinated individuals, but they tell us little about possible indirect (ie, transmission-reducing) effects that afford protection to unvaccinated individuals. As a result, proposed phase 3 trial designs will not provide key information about the overall effect of introducing a vaccine programme. Information on the potential for indirect effects can be crucial for policy makers deciding whether and how to introduce tuberculosis vaccines into immunisation programmes. We describe the rationale for measuring indirect effects, in addition to direct effects, of tuberculosis vaccine candidates in pivotal trials and lay out several options for incorporating their measurement into phase 3 trial designs.

Indexed as

TuberculosisTuberculosis VaccinesAdolescentAdultHumansImmunization ProgramsRandomized Controlled Trials as TopicVaccinationTuberculosis Vaccines

Identifiers

PMID37329893
PMCPMC10393779

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.