Evidence map›Paper›PMID 31792289›Full record

ArticleScientific reports2019

Projecting the impact of variable MDR-TB transmission efficiency on long-term epidemic trends in South Africa and Vietnam.

Phillip P Salvatore, Emily A Kendall, Dena Seabrook, Jessie Brown, George H Durham, David W Dowdy

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Phillip P SalvatoreDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD, 21205, USA. psalvat1@jhu.edu.ORCID http://orcid.org/0000-0001-8305-9056
Emily A KendallDivision of Infectious Diseases, Johns Hopkins School of Medicine, 733 North Broadway, Baltimore, MD, 21205, USA.
Dena SeabrookLinksbridge SPC - 808 Fifth Avenue North, Seattle, Washington, 98109, USA.
Jessie BrownLinksbridge SPC - 808 Fifth Avenue North, Seattle, Washington, 98109, USA.
George H DurhamLinksbridge SPC - 808 Fifth Avenue North, Seattle, Washington, 98109, USA.
David W DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD, 21205, USA.
Johns Hopkins University · USNorth Seattle College · US

Funding

Translational modeling of individual- and population-level outcomes of novel tuberculosis drug regimensK08AI127908 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KENDALL, EMILY A · 2017 to 2021
$879k
NIAID NIH HHS K08 AI127908
6 · The paper itself

Abstract

Whether multidrug-resistant tuberculosis (MDR-TB) is less transmissible than drug-susceptible (DS-)TB on a population level is uncertain. Even in the absence of a genetic fitness cost, the transmission potential of individuals with MDR-TB may vary by infectiousness, frequency of contact, or duration of disease. We used a compartmental model to project the progression of MDR-TB epidemics in South Africa and Vietnam under alternative assumptions about the relative transmission efficiency of MDR-TB. Specifically, we considered three scenarios: consistently lower transmission efficiency for MDR-TB than for DS-TB; equal transmission efficiency; and an initial deficit in the transmission efficiency of MDR-TB that closes over time. We calibrated these scenarios with data from drug resistance surveys and projected epidemic trends to 2040. The incidence of MDR-TB was projected to expand in most scenarios, but the degree of expansion depended greatly on the future transmission efficiency of MDR-TB. For example, by 2040, we projected absolute MDR-TB incidence to account for 5% (IQR: 4-9%) of incident TB in South Africa and 14% (IQR: 9-26%) in Vietnam assuming consistently lower MDR-TB transmission efficiency, versus 15% (IQR: 8-27%)and 41% (IQR: 23-62%), respectively, assuming shrinking transmission efficiency deficits. Given future uncertainty, specific responses to halt MDR-TB transmission should be prioritized.

Indexed as

Computer SimulationHumansIncidenceMycobacterium tuberculosisSouth AfricaTuberculosis, Multidrug-ResistantVietnam

Identifiers

PMID31792289
PMCPMC6889300
OpenAlexW2990557486

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.