Cargando…

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

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. Conv...

Descripción completa

Detalles Bibliográficos
Autores principales: Nelson, Kristin N, Churchyard, Gavin, Cobelens, Frank, Hanekom, Willem A, Hill, Philip C, Lopman, Benjamin, Mave, Vidya, Rangaka, Molebogeng X, Vekemans, Johan, White, Richard G, Wong, Emily B, Martinez, Leonardo, García-Basteiro, Alberto L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393779/
https://www.ncbi.nlm.nih.gov/pubmed/37329893
http://dx.doi.org/10.1016/S2666-5247(23)00112-X
_version_ 1785083218542723072
author Nelson, Kristin N
Churchyard, Gavin
Cobelens, Frank
Hanekom, Willem A
Hill, Philip C
Lopman, Benjamin
Mave, Vidya
Rangaka, Molebogeng X
Vekemans, Johan
White, Richard G
Wong, Emily B
Martinez, Leonardo
García-Basteiro, Alberto L
author_facet Nelson, Kristin N
Churchyard, Gavin
Cobelens, Frank
Hanekom, Willem A
Hill, Philip C
Lopman, Benjamin
Mave, Vidya
Rangaka, Molebogeng X
Vekemans, Johan
White, Richard G
Wong, Emily B
Martinez, Leonardo
García-Basteiro, Alberto L
author_sort Nelson, Kristin N
collection PubMed
description 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.
format Online
Article
Text
id pubmed-10393779
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier Ltd
record_format MEDLINE/PubMed
spelling pubmed-103937792023-08-03 Measuring indirect transmission-reducing effects in tuberculosis vaccine efficacy trials: why and how? Nelson, Kristin N Churchyard, Gavin Cobelens, Frank Hanekom, Willem A Hill, Philip C Lopman, Benjamin Mave, Vidya Rangaka, Molebogeng X Vekemans, Johan White, Richard G Wong, Emily B Martinez, Leonardo García-Basteiro, Alberto L Lancet Microbe Personal View 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. Elsevier Ltd 2023-08 /pmc/articles/PMC10393779/ /pubmed/37329893 http://dx.doi.org/10.1016/S2666-5247(23)00112-X Text en © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Personal View
Nelson, Kristin N
Churchyard, Gavin
Cobelens, Frank
Hanekom, Willem A
Hill, Philip C
Lopman, Benjamin
Mave, Vidya
Rangaka, Molebogeng X
Vekemans, Johan
White, Richard G
Wong, Emily B
Martinez, Leonardo
García-Basteiro, Alberto L
Measuring indirect transmission-reducing effects in tuberculosis vaccine efficacy trials: why and how?
title Measuring indirect transmission-reducing effects in tuberculosis vaccine efficacy trials: why and how?
title_full Measuring indirect transmission-reducing effects in tuberculosis vaccine efficacy trials: why and how?
title_fullStr Measuring indirect transmission-reducing effects in tuberculosis vaccine efficacy trials: why and how?
title_full_unstemmed Measuring indirect transmission-reducing effects in tuberculosis vaccine efficacy trials: why and how?
title_short Measuring indirect transmission-reducing effects in tuberculosis vaccine efficacy trials: why and how?
title_sort measuring indirect transmission-reducing effects in tuberculosis vaccine efficacy trials: why and how?
topic Personal View
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10393779/
https://www.ncbi.nlm.nih.gov/pubmed/37329893
http://dx.doi.org/10.1016/S2666-5247(23)00112-X
work_keys_str_mv AT nelsonkristinn measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT churchyardgavin measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT cobelensfrank measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT hanekomwillema measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT hillphilipc measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT lopmanbenjamin measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT mavevidya measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT rangakamolebogengx measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT vekemansjohan measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT whiterichardg measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT wongemilyb measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT martinezleonardo measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow
AT garciabasteiroalbertol measuringindirecttransmissionreducingeffectsintuberculosisvaccineefficacytrialswhyandhow