Evidence map›Paper›PMID 35323964›Full record

ArticleInternational journal of epidemiology2022

Estimating the long-term effects of mass screening for latent and active tuberculosis in the Marshall Islands.

Romain Ragonnet, Bridget M Williams, Angela Largen, Joaquin Nasa, Tom Jack, Mailynn K Langinlur, Eunyoung Ko, Kalpeshsinh Rahevar, Tauhid Islam, Justin T Denholm and 4 more

Abstract read
In one paragraph

Article in International journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  9. Review
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  11. For Tuberculosis, Not "To Screen or Not to Screen?" but "Who?" and "How?"Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
  12. Review
  13. Population-wide active case finding as a strategy to end TB.The Lancet regional health. Western Pacific · 2024
    Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Epidemiology of tuberculosis in the Pacific island countries and areas, 2000-2020.Western Pacific surveillance and response journal : WPSAR
    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

14 authors.

Romain RagonnetSchool of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.ORCID 0000-0001-8520-2362
Bridget M WilliamsSchool of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.
Angela LargenHawaii Department of Health, Tuberculosis Control Branch, Honolulu, HI, USA.
Joaquin NasaMinistry of Health and Human Services, Majuro, Marshall Islands.
Tom JackMinistry of Health and Human Services, Majuro, Marshall Islands.
Mailynn K LanginlurMinistry of Health and Human Services, Majuro, Marshall Islands.
Eunyoung KoWHO Country Liaison Office, Micronesia, Department of Health and Social Affairs, Palikir, Pohnpei, Federated States of Micronesia.
Kalpeshsinh RahevarWorld Health Organization Regional Office for the Western Pacific (WHO WPRO), Manila, Philippines.
Tauhid IslamWorld Health Organization Regional Office for the Western Pacific (WHO WPRO), Manila, Philippines.
Justin T DenholmVictorian Tuberculosis Program, Royal Melbourne Hospital, Melbourne, VIC, Australia.
Ben J MaraisSydney Institute for Infectious Diseases (Sydney ID) and the WHO Collaborating Centre for Tuberculosis, University of Sydney, Westmead, NSW, Australia.
Guy B MarksSouth Western Sydney Clinical School, University of New South Wales, Liverpool, NSW, Australia.
Emma S McBrydeAustralian Institute of Tropical Health and Medicine, James Cook University, Douglas, QLD, Australia.
James M TrauerSchool of Public Health and Preventive Medicine, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundAmbitious population-based screening programmes for latent and active tuberculosis (TB) were implemented in the Republic of the Marshall Islands in 2017 and 2018.

methodsWe used a transmission dynamic model of TB informed by local data to capture the Marshall Islands epidemic's historical dynamics. We then used the model to project the future epidemic trajectory following the active screening interventions, as well as considering a counterfactual scenario with no intervention. We also simulated future scenarios including periodic interventions similar to those previously implemented, to assess their ability to reach the End TB Strategy targets and TB pre-elimination in the Marshall Islands.

resultsThe screening activities conducted in 2017 and 2018 were estimated to have reduced TB incidence and mortality by around one-third in 2020, and are predicted to achieve the End TB Strategy milestone of 50% incidence reduction by 2025 compared with 2015. Screening interventions had a considerably greater impact when latent TB screening and treatment were included, compared with active case finding alone. Such combined programmes implemented at the national level could achieve TB pre-elimination around 2040 if repeated every 2 years.

conclusionsOur model suggests that it would be possible to achieve TB pre-elimination by 2040 in the Marshall Islands through frequent repetition of the same interventions as those already implemented in the country. It also highlights the importance of including latent infection testing in active screening activities.

Indexed as

EpidemicsLatent TuberculosisTuberculosisHumansIncidenceMass Screeningactive case-findinglatent tuberculosis infectionmass screeningMycobacterium tuberculosis infectionpost-exposure prevention

Identifiers

PMID35323964
PMCPMC9557838

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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.