Evidence map›Paper›PMID 33462224›Full record

ArticleNature communications2021

Modelling the global burden of drug-resistant tuberculosis avertable by a post-exposure vaccine.

Han Fu, Joseph A Lewnard, Isabel Frost, Ramanan Laxminarayan, Nimalan Arinaminpathy

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 9% of its field
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Global trends in antibiotic consumption during 2016-2023 and future projections through 2030.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  6. Routine immunization againstThe Lancet regional health. Southeast Asia · 2024
    Article
  7. Review
  8. Article
  9. Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review.IEEE access : practical innovations, open solutions · 2024
    Article
  10. Article
  11. Vaccination to Reduce Antimicrobial Resistance Burden-Data Gaps and Future Research.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. BCGΔBCG1419c increased memory CD8Scientific reports · 2022
    Article
  20. 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

5 authors at 4 institutions in 4 countries.

Han FuMRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, W2 1PG, UK. h.fu15@imperial.ac.uk.ORCID 0000-0002-8934-7347
Joseph A LewnardDivision of Epidemiology, School of Public Health, University of California, Berkeley, Berkeley, CA, 94720, USA.ORCID 0000-0002-5417-8475
Isabel FrostCenter for Disease Dynamics, Economics & Policy, New Delhi, India.ORCID 0000-0002-0095-0845
Ramanan LaxminarayanCenter for Disease Dynamics, Economics & Policy, New Delhi, India.ORCID 0000-0002-1390-9016
Nimalan ArinaminpathyMRC Centre for Global Infectious Disease Analysis; and the Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), School of Public Health, Imperial College London, London, W2 1PG, UK.ORCID 0000-0001-9502-6876
National Centre for Infectious Diseases · SGCenter for Disease Dynamics, Economics and Policy · INPrinceton University · USUniversity of California, Berkeley · US

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

There have been notable advances in the development of vaccines against active tuberculosis (TB) disease for adults and adolescents. Using mathematical models, we seek to estimate the potential impact of a post-exposure TB vaccine, having 50% efficacy in reducing active disease, on global rifampicin-resistant (RR-) TB burden. In 30 countries that together accounted for 90% of global RR-TB incidence in 2018, a future TB vaccine could avert 10% (95% credible interval: 9.7-11%) of RR-TB cases and 7.3% (6.6-8.1%) of deaths over 2020-2035, with India, China, Indonesia, Pakistan, and the Russian Federation having the greatest contribution. This impact would increase to 14% (12-16%) and 31% (29-33%) respectively, when combined with improvements in RR-TB diagnosis and treatment relative to a scenario of no vaccine and no such improvements. A future TB vaccine could have important implications for the global control of RR-TB, especially if implemented alongside enhancements in management of drug resistance.

Indexed as

Global Burden of DiseaseAdolescentAdultAntitubercular AgentsComputer SimulationDrug Resistance, BacterialHumansIncidenceModels, StatisticalMycobacterium tuberculosisPost-Exposure ProphylaxisRifampinTuberculosisTuberculosis VaccinesAntitubercular AgentsRifampinTuberculosis Vaccines

Identifiers

PMID33462224
PMCPMC7814030
OpenAlexW3123787249

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.