Evidence map›Paper›PMID 34870135›Full record

ArticleEClinicalMedicine2021

Estimating the population at high risk for tuberculosis through household exposure in high-incidence countries: a model-based analysis.

Jennifer M Ross, Yongquan Xie, Yaqi Wang, James K Collins, Cody Horst, Jessie B Doody, Paulina Lindstedt, Jorge R Ledesma, Adrienne E Shapiro, Prof Simon I Hay and 2 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 15 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

12 authors at 1 institution in 1 country.

Jennifer M RossDepartment of Global Health, University of Washington, Seattle, USA.
Yongquan XieInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Yaqi WangInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
James K CollinsInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Cody HorstInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Jessie B DoodyInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Paulina LindstedtInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Jorge R LedesmaInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Adrienne E ShapiroDepartment of Global Health, University of Washington, Seattle, USA.
Prof Simon I HayInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Hmwe H KyuInstitute for Health Metrics and Evaluation, University of Washington, Seattle, USA.
Abraham D FlaxmanDepartment of Global Health, University of Washington, Seattle, USA.
University of Washington · US

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
Novel clinic-based TB diagnostics and testing algorithms for persons with HIVK23AI140918 · NIAID · UNIVERSITY OF WASHINGTON · PI SHAPIRO, ADRIENNE E · 2019 to 2024
$937k
Modeling approaches to prioritize TB prevention among people with HIV in UgandaK01AI138620 · NIAID · UNIVERSITY OF WASHINGTON · PI ROSS, JENNIFER M · 2019 to 2022
$446k
NIAID NIH HHS K01 AI138620NIAID NIH HHS K23 AI140918NIAID NIH HHS L30 AI140333NIAID NIH HHS P30 AI027757
6 · The paper itself

Abstract

backgroundHousehold contacts of people with pulmonary tuberculosis (TB) have greater risk of developing TB. Recent guidelines conditionally recommended TB preventive treatment (TPT) for household contacts of any age living in TB high-incidence countries, expanding earlier guidance to provide TPT to household contacts under five. The all-age population of household contacts has not been estimated.

methodsOur model-based estimation included 20 countries with >80% of incident TB globally in 2019. We developed country-specific distributions of household composition by age and sex using bootstrap resampling from health surveys and census data. We incorporated age-, sex-, year-, and location-specific estimates of pulmonary TB incidence from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019 to estimate the population in each country sharing a household with someone with incident pulmonary TB, and quantified uncertainty using a Monte Carlo approach.

findingsWe estimate that 38 million [95% uncertainty interval (UI) 33- 43 million] individuals lived in a household with someone with incident pulmonary TB in 2019 in these 20 countries. Children under five made up 12% of the population with household exposure, while adults were 65%. Zimbabwe, Mozambique, Zambia, and Pakistan had the highest proportion of the population with household exposure, while India had the highest number of contacts (11·4 million, 95% UI 9·7-13·4 million).

interpretationExpanding TPT evaluation to household contacts of all ages in high-incidence countries could include a population more than 7-times larger than the under-5 contacts previously prioritized. This would substantially increase the impact of household contact investigation on reducing TB morbidity and mortality.

fundingJMR is supported by the National Institute of Allergy and Infectious Diseases (K01 AI138620). This research was funded in part by a 2020 developmental grant from the University of Washington / Fred Hutch Center for AIDS Research, an NIH funded program under award number AI027757 which is supported by the following NIH Institutes and Centers: NIAID, NCI, NIMH, NIDA, NICHD, NHLBI, NIA, NIGMS, NIDDK. This work was funded in part by the National Science Foundation (DMS-1839116).

Identifiers

PMID34870135
PMCPMC8626652
OpenAlexW3216310206

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.