Evidence map›Paper›PMID 37662260›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Preventing tuberculosis with community-based care in an HIV-endemic setting: a modeling analysis.

Jennifer M Ross, Chelsea Greene, Cara J Bayer, David W Dowdy, Alastair van Heerden, Jesse Heitner, Darcy W Rao, D Allen Roberts, Adrienne E Shapiro, Zelda B Zabinsky and 1 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 7 institutions in 2 countries.

Jennifer M RossDivision of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, USA.
Chelsea GreeneDepartment of Industrial and Systems Engineering, University of Washington, Seattle, USA.
Cara J BayerDepartment of Epidemiology, University of North Carolina, Chapel Hill, USA.
David W DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, USA.
Alastair van HeerdenCentre for Community Based Research, Human Sciences Research Council, Pietermaritzburg, South Africa.
Jesse HeitnerDivision of Infectious Diseases, Massachusetts General Hospital, Boston, USA.
Darcy W RaoBill & Melinda Gates Foundation, Seattle, USA.
D Allen RobertsDepartment of Epidemiology, University of Washington, Seattle, USA.
Adrienne E ShapiroDivision of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, USA.
Zelda B ZabinskyDepartment of Industrial and Systems Engineering, University of Washington, Seattle, USA.
Ruanne V BarnabasDivision of Infectious Diseases, Massachusetts General Hospital, Boston, USA.
University of Washington · USGates Foundation · USHarvard University · USHuman Sciences Research Council · ZAJohns Hopkins University · USMassachusetts General Hospital · USUniversity of North Carolina at Chapel Hill · US

Funding

NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
Modeling approaches to prioritize TB prevention among people with HIV in UgandaK01AI138620 · NIAID · UNIVERSITY OF WASHINGTON · PI ROSS, JENNIFER M · 2019 to 2022
$446k
NCATS NIH HHS KL2 TR002317NIAID NIH HHS K01 AI138620
6 · The paper itself

Abstract

Introduction: Antiretroviral therapy (ART) and TB preventive treatment (TPT) both prevent tuberculosis (TB) disease and deaths among people living with HIV. Differentiated care models, including community-based care, can increase uptake of ART and TPT to prevent TB in settings with a high burden of HIV-associated TB, particularly among men. Methods: We developed a gender-stratified dynamic model of TB and HIV transmission and disease progression among 100,000 adults ages 15-59 in KwaZulu-Natal, South Africa. We drew model parameters from a community-based ART initiation and resupply trial in sub-Saharan Africa (Delivery Optimization for Antiretroviral Therapy, DO ART) and other scientific literature. We simulated the impacts of community-based ART and TPT care programs during 2018-2027, assuming that community-based ART and TPT care were scaled up to similar levels as in the DO ART trial (i.e., ART coverage increasing from 49% to 82% among men and from 69% to 83% among women) and sustained for ten years. We projected the number of TB cases, deaths, and disability-adjusted life years (DALYs) averted relative to standard, clinic-based care. We calculated program costs and incremental cost-effectiveness ratios from the provider perspective. Results: If community-based ART care could be implemented with similar effectiveness to the DO ART trial, increased ART coverage could reduce TB incidence by 27.0% (range 21.3% - 34.1%) and TB mortality by 36.0% (range 26.9% - 43.8%) after ten years. Increasing both ART and TPT uptake through community-based ART with TPT care could reduce TB incidence by 29.7% (range 23.9% - 36.0%) and TB mortality by 36.0% (range 26.9% - 43.8%). Community-based ART with TPT care reduced gender disparities in TB mortality rates by reducing TB mortality among men by a projected 39.8% (range 32.2% - 46.3%) and by 30.9% (range 25.3% - 36.5%) among women. Over ten years, the mean cost per DALY averted by community-based ART with TPT care was $846 USD (range $709 - $1,012). Conclusions: By substantially increasing coverage of ART and TPT, community-based care for people living with HIV could reduce TB incidence and mortality in settings with high burdens of HIV-associated TB and reduce TB gender disparities.

Indexed as

cost effectivenessDifferentiated caregenderHIV epidemiologymodelingTB

Identifiers

PMID37662260
PMCPMC10473784
OpenAlexW4386054861

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.